Hyperautomation in Banking Sector: Use Cases, Benefits, and Solutions

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An Introduction to Hyperautomation’s Role in Banking

Hyperautomation, as you might recall from our Comprehensive Guide to Hyperautomation, is the integration of advanced technologies, including artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and Low-code and no-code (LCNC), to automate complex and time-consuming tasks. This combination of multiple technologies is expected to see further advancements in 2023, leading to broader implementation and usage across industries, including hyperautomation in healthcare, insurance, retail, and education.

Forrester has emphasized the importance of hyperautomation, which combines multiple technologies, such as AI, RPA, and BPM, in optimizing business operations and reducing manual workloads. They have also discussed integrating advanced technologies like Natural Language Processing, Computer Vision, and low-code/no-code platforms to develop more intelligent and flexible automation solutions. 

The high adoption of digitalization and digitization and the need for more efficient work processes are some of the key reasons why this industry is showing high demand, and the values of the global hyperautomation market reflect this, too; sources such as GlobeNewsWire put the current value of the global hyper-automation market is USD 549.3 million. By 2029, it is projected to rise at a strong CAGR of 22.79% to reach USD 2,133.9 million. 

Related article: A Practical Guide to Implementing Hyperautomation Into Your Enterprise

How can Hyperautomation Technology Benefit the Banking Sector, Specifically?

Historically, as we know, the banking industry has traditionally been slow to adopt new technologies. Still, in recent years, the rapid pace of technological innovation has driven many banks to adopt hyperautomation. In the banking sector, hyperautomation has grown to become an essential tool for reducing operational costs, improving customer experiences, and enhancing overall efficiency. 

Hyperautomation in banking can take many forms, from automating simple tasks like data entry and reconciliation to more complex processes such as risk management and compliance. In all cases, the goal is to reduce the time and resources required to complete tasks, freeing staff to focus on more strategic and value-adding activities.

Related article: Low-Code Automation | What it is & Why You Need it

Use Cases of Hyperautomation in Banking

One of the most significant benefits of hyperautomation in banking is cost reduction. By automating repetitive and time-consuming tasks, banks can reduce their reliance on manual labor and minimize the risk of human error. As mentioned in our “What is Hyperautomation?”, on average, retail banks have between 300 and 800 procedures, which can be simplified using business process management solutions that eliminate human error and inefficiencies that negatively affect the client experience. 

Integrating hyperautomation technology in this scenario leads to lower operating costs and improved efficiency, which can result in significant savings for the organization. Some of the use cases of hyperautomation in banking are listed below –

Customer Service

Businesses have discovered that hyperautomation can be used to automate routine customer servicing tasks. This allows for staff to focus on the organization’s other priorities.

For example, tasks that could be automated simply include account opening, balance inquiries, and loan applications. This frees staff to focus on complex customer interactions and/or company priorities.

Fraud Detection

Hyperautomation is capable of identifying and preventing fraud. This technology can do so by analyzing large amounts of information and data to detect suspicious behavior patterns, potentially saving the company significant money from future lawsuits to fight fraudulent behavior. Automating this also allows human efforts to be redirected to tasks requiring more manual intervention. Coupled with empirical evidence that this technology can perform these analyses with higher accuracy, banking workflows only stand to benefit from this integration.

Loan Processing

For tasks from loan application to approval, reducing processing time, and improving the customer experience, hyperautomation can prepare a checklist based on the bank’s requirements to process and disburse loans without any undue and extended delays. This improves customer experience by leaps and bounds.

Compliance

By automating compliance checks and monitoring processes, hyperautomation can help banks ensure compliance with regulatory requirements more easily.

Risk Management

Risk management processes take a significant amount of time when carried out manually. In contrast, the process is significantly sped up when automated all stages of risk management. This includes credit risk analysis, portfolio risk analysis, and market risk management.

Related article: Advantages and Disadvantages of the Low-Code Platform

Benefits of Hyperautomation in the Banking Sector

Customer Experience Improvement

A large benefit of hyperautomation in banking is the improved customer experience. Automated systems can handle a high volume of customer inquiries and transactions quickly and efficiently, allowing banks to provide faster and more personalized service to their clients. This improved experience can lead to increased customer loyalty and higher levels of customer satisfaction. It prevents undue delays and offers customers swift solutions. 

Accuracy

Hyperautomation has the immense potential to enhance the accuracy and reliability of banking processes. Automated systems can perform complex calculations and process large amounts of data quickly and accurately, reducing the risk of errors and improving the accuracy of financial reports. This increased accuracy is particularly important in the banking sector, where a small error can have significant consequences.

Regulatory Ease 

Hyperautomation can also help banks to comply with complex regulations and standards, such as anti-money laundering and KYC regulations. Automated systems can process large amounts of data quickly and accurately, enabling banks to identify and report suspicious activity more efficiently. This can help banks to stay compliant with regulatory requirements and reduce the risk of financial penalties.

Related article: Top 10 Intelligent Automation Trends and Predictions in 2023

Hyperautomation, Banking and Autonom8

Autonom8’s hyperautomation platform can potentially benefit the banking sector, including cost reduction, improved customer experiences, enhanced accuracy, and compliance with regulatory requirements. 

Autonom8’s platform, A8Flow, has been a huge success with its users and clients, who appreciate the company’s commitment to making automation solutions that are both powerful and user-friendly. The platform’s convenient user interface and seamless integration with existing processes have made it a popular choice for organizations looking to automate complex business processes and decision-making. Start your trial today and watch your workflows improve manifold!

Related article: The Role of Generative AI in Loan Origination System

Hyperautomation in Banking FAQs

What is Hyperautomation used for?

Hyperautomation is typically used to describe integrating advanced technologies, such as AI, ML, NLP, and others, to automate a wide range of business processes. These processes include those that humans traditionally perform.

How is Hyperautomation used in banking?

The goal of hyperautomation is to automate as much work as possible to improve efficiency, reduce costs, and eliminate manual errors. With this in mind, some everyday use cases for hyperautomation in the banking sector include automating customer service automating financial processes.

What is the difference between Hyperautomation and automation?

Hyperautomation is a disciplined, business-driven approach that organizations use to quickly identify, examine and automate as many business and IT processes as possible.

What are some potential risks or challenges associated with implementing hyperautomation in banking, and how can they be mitigated?

Resistance to change: Employees may hesitate to adopt new technologies, which can slow the adoption process.
Security concerns: Automating sensitive processes can increase the risk of cyber-attacks and data breaches.
Compliance issues: Banks must ensure that automated processes comply with regulatory requirements and standards.
Integration challenges: Integrating new technologies with existing systems can be complex and time-consuming.
Dependency on technology: Overreliance on automation can be problematic if systems fail or require maintenance.

What role do AI and machine learning play in hyperautomation for banking, and how do they impact the overall effectiveness of the technology?

AI and machine learning play a crucial role in hyperautomation for banking, enabling systems to learn and adapt based on data inputs. By using AI and ML algorithms, banks can identify patterns and trends in data that may not be immediately apparent, allowing for more accurate decision-making.

How does hyperautomation impact the customer experience in banking, and what steps can banks take to ensure they are meeting customer needs and expectations?

Hyperautomation can impact the customer experience in several ways. By automating onboarding and loan approvals, banks can reduce wait times and provide a more seamless experience. However, it's important to ensure that automation doesn't detract from the human touch that customers may value.

What are some best practices for successful hyperautomation adoption in banking, and what resources are available for banks looking to implement this technology?

Best practices for successful hyperautomation adoption in banking include:

1] Starting small and identifying high-priority processes to automate first
2] Building a cross-functional team to oversee implementation
3] Ensuring compliance with regulatory requirements and standards
4] Investing in employee training and education to facilitate the adoption
5] Continuously monitoring and refining automated processes to ensure they remain effective and efficient. Many resources are also available for banks looking to implement hyperautomation, including consulting firms, technology vendors, and industry associations.

7 Key Benefits of Low-code Platforms for Enterprises

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Introduction to Low-Code Platforms

The demand for application development has consistently been rising for decades and continues with every passing moment. With every new business opportunity that crops up, a need for new applications emerges swiftly too. In addition to this, with the ever-expanding advent of digital breakthroughs, businesses have trouble rising to the challenging task of sustaining their success without enlisting the aid of applications that support their internal as well as external functions.

It is with this scarcity of ready-to-go applications that low-code platforms came into being and have since changed the way developers operate. 

What is Low-Code?

Low-code is a fascinating approach to application development that uses a drag-and-drop approach to build applications, as opposed to the conventional method of having to manually and physically write code. The careful tweaking and evolving of low-code technologies over the past few years have seen many exciting trends, and you can read more about them in our posts, where we discuss the rise of low-code platforms. 

Simply put, if we were to paint a picture of how quickly these technology-powered platforms are projected to scale, authorities like Gartner forecast the worldwide low-code development technologies market to grow 20% in 2023. In addition to Gartner, studies and surveys conducted by KPMG also add that low code is the future of application development and automation. 

In the following few paragraphs, we will deeply dive into the benefits of low-code platforms to see how they could benefit your organization today!

Related Article: Advantages and Disadvantages of the Low-Code Platform

7 Key Benefits of Low-code Platforms for Enterprises

Accelerate Digital Transformation 

One of the largest benefits of using low-code technology in combination with other emerging technologies like Intelligent Automation is that it allows organizations to more easily and quickly create, deploy, and manage automation solutions. This benefit can lead to faster time-to-market and more efficient processes for businesses. Low-code platforms are also known to be accessible to a broader range of users, not just developers, which explains their popularity.

Flexibility

Understandably, low-code technology is often met with skepticism about its ability to carry out complex functions. However, over time since its advent, this technology has evolved steadily and improved to be able to carry out complex coding requirements. As a bonus, developers have discovered that they can quickly change the look and feel of an application or add new features without having to write large amounts of code. This increased flexibility has led to improved time to market, reduced development costs, and a more agile response to changing business requirements.  

Reduce Dependency on Hiring Specific Resources 

A unique benefit of this technology is its reduced dependency on hiring specific resource personnel! Low-code technology can help reduce the dependency on hiring specific resources, such as highly skilled developers, by allowing non-technical users to participate in the application development process. This can lead to a more diverse team of contributors, allowing organizations to tap into a wider talent pool and potentially reduce their dependency on hiring specific technical resources. The drag-and-drop functionalities can also reportedly make it easier for organizations to quickly and easily develop new applications without relying on a limited pool of specialized developers. 

Related Article: An Overview of the Low-Code Market in 2023

Better Utilization of Technical Resources

Low-code application development permits development teams and business users to create more applications (of any level of complexity) in less time than traditional coding. Low-code application development platforms enable organizations to become more agile and quickly meet enterprise business requirements such as workflow automation, streamlined business operations, improved customer journeys, and policy and regulation compliance. You could also stop by our post on how to measure & maximize ROI of low-code for more insight. 

Improvement in Accessibility and a Steady growth of diverse developers

With low-code technology, there’s been an uptick in the number of developers capable of deploying effective applications. By enabling the average citizen to participate in the application development process, organizations can tap into a wider pool of talent and ideas, allowing them to be more responsive to changing business requirements and improve time to market! These individuals can bring a more unique perspective to application development, providing fresh ideas and solutions to business problems that traditional developers may not have considered.

Improvement in Turnaround Time 

You could also stop by our post on how to measure & maximize ROI of low-code for more insight. Building off the advantage of this technology being flexible, the drag and drop functionality means that less time is to be invested in the compiling and correcting of coding. 

Improved IT efficiency

Low-code technology can help reduce the burden on IT departments, allowing citizen developers to take on some of the responsibilities for developing and deploying custom applications and freeing up IT resources to focus on more strategic projects.

Related article: Low-Code Automation | What it is & Why You Need it

Autonom8 & Low-code Platforms 

Low-code application development is a streamlined approach toward digital transformation across organizations that Autonom8 would be happy to assist you with. If you are still figuring out how to begin your journey, our low-code pros can help! 

With low-code technology, organizations can be more nimble and respond more quickly to changing business requirements, enabling them to rapidly adopt new technologies and respond to changing market conditions. With effective workflow and business process management, we ensure that our solutions will blend seamlessly with your existing processes. 

Start your trial today for optimized costs and time; Revolutionize the way you do business.

Related article: Characteristics of High-Performing Low-Code Solutions

FAQs on Low-code Platforms Benefits for Enterprises

What’s an example of low code technology?

Low code technology has a wide range of use-cases. wide range of use cases across various industries and business functions. Some common use cases include:
Custom applications: Low-code technology is often used to build custom applications that meet specific business requirements, such as workflow automation, customer relationship management (CRM), and human resource management (HRM) systems.
Rapid prototyping: Low-code technology allows organizations to prototype new ideas and applications quickly, allowing them to test and iterate on new solutions rapidly.

Is low code the future?

Low-code technology is widely seen as a promising and growing trend in the software development industry. It has already proven to be a valuable tool for organizations looking to improve their application development processes and respond more quickly to changing business requirements!

What are the benefits of using a low-code platform for enterprises?

The benefits of using a low-code platform for enterprises include faster application development, reduced IT costs, improved collaboration between IT and business teams, increased flexibility and agility, better scalability, and easier maintenance and updates.

How does low-code development speed up application development?

Low-code development speeds up application development by allowing developers to build applications faster and more efficiently, without needing to write code from scratch. This is done through pre-built components and visual interfaces, which enable developers to create applications using drag-and-drop tools and minimal coding.

How does low-code development reduce IT costs?

Low-code development reduces IT costs by allowing enterprises to build applications without the need for a large team of developers. This is because low-code platforms enable business users and citizen developers to build applications themselves, without the need for deep technical expertise.

How can low-code platforms increase flexibility and agility?

Low-code platforms increase flexibility and agility by allowing enterprises to quickly build and modify applications as business needs change. This is done through the use of pre-built components and visual interfaces, which enable developers to make changes to applications quickly and easily.

Top 10 Intelligent Automation Trends and Predictions in 2023

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For the uninitiated, Intelligent Automation (or IA) refers to the use of technology, such as artificial intelligence and machine learning, to perform tasks that usually require human intervention. Much like the name implies, it can automate many processes, from simple tasks like data entry to complex processes such as decision-making. It offers many benefits, such as cost savings and improved efficiency. 

Its growing popularity and importance make it an important technology for businesses to understand and consider as part of their digital transformation strategies.  For a more holistic understanding of the technology, stop by our post dedicated to giving you a more comprehensive overview of Intelligent Automation.

With this in mind, experts opine that 2023 will be a year of a marked increase in the use cases of automation owing to the growth of data and the need for advanced analytics, inflation pressures, and increasing customer demands. Below are IA trends we have identified for next-generation evolutions, convergence in capabilities, market fragmentation, consolidation, and partnerships.

How Intelligent Automation is Changing Businesses

One of the key benefits of IA is that it can take on complex and knowledge-intensive work processes, such as data analysis and compliance monitoring, which were previously the domain of human employees. This frees human resources to focus on more strategic and creative tasks, leading to increased job satisfaction and improved employee engagement. 

Related article: What is Low-Code Automation? Everything You Need to Know

Top 10 Intelligent Automation Trends to Look Out for in 2023

Automating enterprise workflows

End-to-end enterprise workflows refer to the steps and processes required to complete a business task or operation from start to finish. These workflows can encompass multiple departments, systems, and technologies and may involve humans along with some automated tasks. In the context of end-to-end enterprise workflows, experts predict that IA will rise in popularity for its ability to integrate with different systems and technologies. 

IA can automate tasks across multiple departments and systems, providing a seamless, streamlined and thus more efficient workflow. Deloitte’s reports state that the most advanced adopters of IA have steadily moved from task-based automation toward end-to-end automation; Evidence suggests that this trend will likely gather more speed in the upcoming year.

Augmenting IA into Tools 

Further to the automation of enterprise workflows and, in a similar vein, by augmenting IA into existing tools and software platforms, experts have successfully noted more robust platform capabilities. This will continue to be the trend in 2023.

Increase in No Code, Low Code Technology Platforms

Low-code technology and IA are closely linked as low-code platforms can be used to develop, deploy and manage IA solutions. Low-code technology, very basically, is a software development platform that allows users to create applications with minimal coding. 

One of the benefits of using low-code technology in combination with IA is that it allows organizations to easily and quickly create, deploy, and manage automation solutions. This benefit can lead to faster time-to-market and more efficient processes for businesses. Low-code platforms are also known to be accessible to a broader range of users, not just developers, which explains their popularity.

Evolution of Robotic Process Automation Tools

The adoption of RPA across industries is sure to increase as this technology has become more affordable and user-friendly. 

Small and medium-sized businesses will likely start using it to automate their processes. Experts opine that they will use aspects such as artificial intelligence, machine learning, and natural language processing to create more powerful and efficient automation solutions.

Hyperautomation

91% of the respondents of the Intelligent Automation Network’s survey respondents state that they either currently are or plan to invest in hyperautomation in 2023. Furthermore, the same survey also revealed that  66% of those surveyed said that they expect their budgets for hyper automation-enabling technology to either increase or stay the same over the next year. A similar sentiment has been highlighted in surveys by Salesforce and Vanson Bourne, which predicts that 80% of organizations will include hyperautomation on their technology roadmap by 2025.

Related article: What is Low-Code Automation? Everything You Need to Know

Introduction of IA to Support Staff Shortages

As the demand for skilled labor continues to outdo supply, many companies are turning to IA to help fill the gap. In a few cases, IA was deployed to combat staff shortages noticeably in 2022 during a period of rapid resignations. By automating repetitive, time-consuming tasks, IA can free support staff to focus on more complex, value-added activities.

Conversational AI

In 2023, conversational AI is expected to grow as more businesses adopt the technology to improve customer engagement and automate repetitive tasks. Using natural language processing and machine learning will enable more accurate and personalized interactions. At the same time, integrating conversational AI with other technologies, such as voice assistants and chatbots, will provide a seamless and convenient user experience. 

Increased Use of Co-Bots

Collaborative robots, also known as cobots, are designed to work alongside humans in shared workspaces and can perform various tasks, such as lifting heavy loads in warehouses or removing obstacles from assembly lines. These cobots benefit small businesses as they do not require much space and can be easily programmed and maintained with minimal human assistance, unlike traditional large robots.

Intelligent Document Processing Tools

IDP tools have grown in terms of technological capabilities and market growth. With this advancement, one can now find IDP in customer service departments, where it is used to extract and analyze data from customer emails, chats, and feedback forms. These tools’ use cases have expanded beyond just paper-heavy departments. 

Improvements in Cloud Native Capabilities

Cloud-native is the software approach of building, deploying, and managing modern applications in cloud computing environments. 2023 shows signs of cloud-native providers building IA features and capabilities.

Organizations must understand and consider IA as part of their digital transformation strategies. As we saw in 2022, using these technologies and innovations directly led to quantifiable benefits, cost savings, and improved customer engagements. Many operational elements and business function areas can benefit from these technologies!

Related article: A Complete Guide to No-code Development for 2023

Intelligent Automation Platform Trial – Autonom8

Unlock the full potential of your business with our intelligent automation platform. Autonom8’s cutting-edge technology allows you to streamline processes, increase efficiency, and reduce costs. With a convenient, user-friendly interface, our Intelligent Automation platform has been widely popular among its users owing to its ability to integrate with existing systems successfully and seamlessly.

Start your trial today and revolutionize the way you do business.

FAQs on Intelligent Automation Trends

What is intelligent automation?

Simply put, Intelligent automation (IA) refers to integrating robotics with multiple components from different emerging technologies.

What is the future of intelligent automation?

The future of intelligent automation will likely involve the continued development and deployment of AI and ML technologies in various industries and applications. These technologies are expected to play a vital role in the digital transformation of businesses, governments, and other organisations, enabling organisations to automate tasks, improve efficiency, and make more informed decisions.

What do intelligent automation trends look like?

Forecasted intelligent automation trends state that organisations will likely apply it to a wide range of industries and allied applications.

The rise of low-code platforms: 5 trends to anticipate in the future with stats

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Overview of Low-code platforms

The drag-and-drop visual models used in Low-code platforms to design complete applications have become a game changer for companies. Using state-of-the-art user interfaces, integrations, data, and logic rather than writing tens of thousands of lines of intricate code and syntax; as a result, businesses can put apps into production considerably more quickly.

According to Gartner, the global market for low-code development technologies will grow 19.6% from 2022 to reach $26.9 billion in 2023. They also predict that by 2026, developers outside of official IT departments will make up at least 80% of users of low-code development tools, up from 60% in 2021.

The low-code development technology market consists primarily of low-code application platforms (LCAPs), growing by 25% to reach almost $10 billion in 2023. CADPs, on the other hand, is expected to grow by 30% in the following year, outpacing all different low-code segments.

Rapid Mobile App Development (RMAD) and Rapid Application Development (RAD) tools are further low-code development approaches. RAD tools are/were mostly desktop-based on-premises programmes. The transition from RAD to cloud and SaaS models is known as low code.

Low-code development platforms are slowly emerging as an alternative to bridging the gap in talent available versus the demand seen across the global markets. The ease of use and the low IT department dependency have all made it the most in-demand platform. Low-code’s most significant advantage is the ROI it has yielded companies. Low-code also enables businesses to skip hiring additional software developers, saving them $4.4 million over three years.

  • Improved efficiency and productivity
  • Optimized operational costs 
  • Faster turnaround time 
  • Rapid-to-market and innovation
  • Business Agility 
  • Ease of development and deployment  
  • Enhanced customer experience and 
  • Providing real-time updates.

Related article: Low-Code Automation | What it is & Why You Need it

Autonom8 & Low-code platforms

Organizations are increasingly turning to low-code development technologies to meet increased demands for rapid application delivery and highly customized automation workflows. 

Autonom8 is developing the most cutting-edge low-code platform in the world, motivated by the dual goals of hyper-automation and the lowest Total Cost of Ownership (TCO). Instead of the conventional internal “process-driven” thought process, the platform places clients at the core of your business. After all, making it simple for customers to transact with you is the whole point of becoming digital. The platform combines channels, workflow, and intelligence effortlessly.

Some clients have noticed a 3x boost in the pace of deploying new features and a 10x increase in the time of changing existing business processes. Launching new business initiatives quickly allowed companies to reduce their total cost of ownership by up to 75% compared to when they used the conventional custom software delivery approach. Financial institutions make up the vast majority of Autonom8’s clients. For more on how our clients have benefitted from our solutions, visit here.

To enhance the banking experience for its customers, Autonom8 has been able to roll out a number of business applications thanks to its enterprise-grade workflow management platform. In October 2022, the fintech clients of the startup completed over 300,000 loans totalling $2 billion. To develop workflows and applications that automate complex banking operations, Autonom8 blends machine learning (ML), natural language processing (NLP), and business process management (BPM).  

Related article: Characteristics of High-Performing Low-Code Solutions

5 Trends to Watch out for in 2023 & Beyond

  • Over 500 million apps and services will be created utilizing cloud-native techniques by 2023.
  • By 2024, the percentage of low-code tools used in application development will reach above 65%.
  • By 2030, the low-code development business will bring in $187 billion.
  • There is an increase in the average revenue generated by businesses using low-code platforms by 58%.
  • Compared to conventional development, the turnaround time is 56% faster with low-code app development.

In 2022, global sales of low code development will surpass US$ 14 Billion, according to a Factmr analysis. According to the study, the sector is expected to reach a US$ 187 billion valuation by 2032, representing a positive CAGR of 29.5% over the assessment period. Are you ready for what lies ahead in 2023? 

Related Article: 7 Key Benefits of Low-code Platforms for Enterprises

The primary reasons why companies are willing to invest in low-code platforms are:

  1. Accelerate digital transformation 
  2. Reduce IT backlog 
  3. Reduce dependency on hiring specific resources 
  4. Better utilization of technical resources
  5. Modernization of legacy systems  
  6. Growth of Citizen developers
  7. Faster turnaround time 
  8. Optimized costs and time.

Related article: Advantages and Disadvantages of the Low-Code Platform

The top trends to watch out for in the low-code arena in the coming years are:

Workflow automation with low-code

For citizen developers, setting up workflows—especially automating them—is no walk in the park. To do this, they must rely on tech specialists. Today, however, low-code platforms have begun utilizing the strength of AI and ML to assist citizen developers in setting up and automating workflow automation without difficulty. Microsoft’s AI builder is one such example of a low-code platform powered by AI. This may revolutionize the app development industry. It must be noted that 84% of companies have switched to low-code to bridge the gap left by a lack of developers.

Low-code for developing API-based applications

Today, employing APIs for application development is the new norm, and many businesses choose it for seamless, quick application integration. It is estimated that non-developers will develop 80% of technology products and services by 2024.

Using low code during the development process can streamline the app lifecycle and assist in producing feature-rich, high-performing applications for clients as more and more businesses concentrate on API-based app development. Today’s vast array of public and private APIs is a prime illustration of this.

Related Article: An Overview of the Low-Code Market in 2023

Application Modernizing with low-code

Renovating their current applications is today’s top difficulty for many startups and small businesses. Professional developers must put up a lot of time and effort to reinvent programmes that are many years or decades old.

It is quick and easy to update or modernize legacy applications using a low-code or no-code app development platform. It frees the professionals’ time to concentrate on their ongoing and prospective assignments or other essential tasks.

Low-code development for hybrid apps

There is no doubt that native mobile applications offer the best user experience and performance. But because everything is moving so quickly, the applications’ development takes a long time, and clients don’t have the luxury of time. For nearly 66% of respondents, low-code usage is the most significant driving force for digital transformation.

Creating high-quality hybrid apps is quick and easy with low-code platforms, and application development and deployment are both straightforward and seamless. Research has also shown that 41% of developers want more apps to be developed on low-code platforms, proving that little code isn’t just for simple apps.

Empowering citizen developers

By 2024, the majority of enterprise IT products and services will be developed by non-IT experts, predicts Gartner. The company claims that low-code and no-code development tools have lowered the barrier to creating technological solutions. For non-IT individuals who began developing digital solutions to meet pandemic-related requirements, COVID-19 also lowered entry barriers. The term “citizen developers” refers to them.

Subject-matter experts known as citizen developers use low-code and no-code platforms to create commercial apps. They enhance business processes and facilitate the IT department to concentrate on more crucial business-related tasks. Citizen developers will take over and create significant enterprise-grade apps as trained developers become more challenging to find.

Related article: How to Measure & Maximize ROI of Low-code

Conclusion

Based on a survey by KPMG, 26% of firm leaders cite low-code and no-code platforms as their most significant automation investment. Numerous businesses are investing heavily in low-code tools, and Low-code development is growing. Low-code platforms and tools will be used to write and maintain many applications in the coming years. Low-code platforms aim to allow users to create apps using only visual IDE tools like drag and drop in designers rather than writing manual code. Once an application has been developed, it can be tested, debugged, and deployed without the help of DevOps or IT teams.

Low-code platforms provide industry-standard software performance and quality while allowing for quicker app development and deployment. Experts have created and developed low-code platforms, which have been tested with enterprise-level applications by hundreds of customers.

A Complete Guide to No-code Development for 2023

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Introduction to No-code development 

We have written extensively about Low-code and No-code development platforms on our blog. While the term no-code sounds very similar to a low-code development platform, No-code is entirely dependent on visual tools and does not call for any assistance from coders. Because in-house personnel can perform the task if they have a thorough knowledge of the software, it takes less time overall and costs less. Users/Common citizens can create applications with no-code without prior coding skills. Non-technical business users were creating complete apps!

What is interesting is how rapidly this platform has gained momentum globally. The use of low-code/no-code tools is expected to increase from about 25% of apps in 2020 to a whopping 70% in 2025, according to research firm Gartner, while Fortune Business Insights asserts that the low-code platform market, which was valued at USD 13.89 billion in 2021, will soar to USD 94.7 billion by 2028.

How does No-code development work?

To facilitate quick delivery, No-code breaks away from traditional programming languages and syntax from logic and adopts a visual approach to software development. No-code development is comparable to low-code development in this way.

No-code is a misnomer because a lot of coding is going on, but it is done in the background and is not visible to business users. To effectively hide the complexity of what users achieve through straightforward actions, like dragging and dropping application components to build an application, no-code tool providers do the heavy lifting.

No-code development utilizes a visually integrated development environment, a software suite that combines the fundamental tools needed to create and test software, much like low-code development. They frequently employ a model-driven development methodology, in which the intended functionality of the software system is mapped out using a software model before any actual coding is done. Model-based testing (MBT) and other techniques can be used to test the software once it has been developed and deployed.

No-code vs. Low-code development: What are the primary differences?

No-code Development Low-code Development
Entirely used by business users who have No coding abilities
Used primarily by the IT department, professional app developers, business users, and citizen developers
Minimal in-built capabilities Strong in-built development capabilities
Open to all who need to develop an app Rapid app development, delivery & deployment
IT department is inundated with technical debt because of the apps created outside the compliance framework.
Encourage constant and continuous collaboration between the business & the IT department.
Contains barely any support for those with no coding experience

Related article: Low-Code Automation | What it is & Why You Need it

Importance of No-Code development

No-code development platform radically changes enterprise application development, enabling users to create intricate workflows without writing a single line of code. It is a flexible, cost-effective solution that is idea-driven rather than technically proficient.

No-code is upending industries and allowing businesses to build applications in ways they never imagined possible. The top three reasons why no-code platforms are important are listed below.

Time/Rapid to Market

When creating commercial apps, developers frequently choose speed over functionality. Consumers now expect speedy delivery and seamless product experiences across channels in the oversaturated app industry of today. Developers often go above and above to deliver their goods in front of customers as rapidly as they can to stay up with demand and preserve their competitive edge.

Projects can be completed in a fraction of the time they require using conventional or low-code methods. By bridging the gap between an idea and a usable application, a no-visual code interface assists developers in bringing products to market more quickly and with less hassle.

Collaborations

Between business leaders and the IT teams that support them, there is typically some level of separation in traditional app development. Business teams frequently lay out guidelines before handing them off to IT teams, who labor to develop initiatives that may or may not be successful.

This divide between IT and business teams is widened by conventional and low-code solutions, which keep everything compartmentalized. Through its platforms that encourage openness and teamwork across groups, No-code alters this. No code makes it possible for business teams to view what IT teams are building in real time, ensuring that everything is preserved in translation. Additionally, since no-code platforms don’t require coding knowledge, engineers and business analysts can contribute to creating a product.

Flexibility: Create on Your Terms

Legacy code and strict data models are the foundation for traditional program development. It might be challenging to launch a project because app developers must identify all entities (such as which third-party apps need to be incorporated) from the beginning. Later on, this necessitates the need for revisions, upgrades, and other labor-intensive processes. Using no-code will save you from spending countless hours negotiating the organization of your documents.

Related article: Beyond RPA | Exploring the Future of Intelligent Automation

Benefits of No-Code Development

  1. Faster turnaround
  2. Drag-and-drop approach
  3. Visual modeling based
  4. Innovation & Rapid to the market
  5. Optimization of resources and cost
  6. Increased productivity
  7. Increased efficiency
  8. Ease the entire development process
  9. Accelerate digital transformation
  10. More collaborations

Related article: A Complete Overview of LCNC Platforms

Developing applications using No-Code 

Since it involves little to no coding, there are six basic steps to follow when you get down to building an app using the no-code platform.

  1. Decide and choose the app builder – Evaluate the available platforms using these parameters to ensure you are using the best no-code app platform.
  2. What is your budget?
  3. Does it offer a free trial run to explore the interface?
  4. What are the reviews for the platform out in the market?
  5. Does it allow customization?
  6. Choose a plan that fits your requirement – Are you looking to build single or multiple apps? Review the available plans and decisions based on what fits your needs. Similarly, check the features offered across the projects -integration, data security, and other elements.
  7. Use a pre-set template – This makes it a lot easier to build, else you will have to spend time designing the same. Choose a template based on your requirements.
  8. Custom branding – Apps can be created using your brand’s colors and themes. This makes it authentic to your business.
  9. Drag and drop features/elements – Include all aspects required for your app to stand out.
  10. Time to publish your app – This can be done simultaneously on Android and the iOS ecosystem. All that is left to do is wait for the app to go live!

No-Code Development Use Cases

Data Organization

Users of No-Code Platforms can access their data sources from any system and log in. Users can add, remove, or change their data whenever they choose. No-Code Platforms assist business users in quickly and effectively building database applications, significantly simplifying gathering, collaborating, storing, and sharing data.

Increased Workflow Efficiency

Organizations can use No-Code Platforms to examine their workflow, quickly identify and fix bottlenecks, and improve system efficiency. Analyzing your product’s back end and changing various parameters as needed is quite simple with a No-Code Platform, enhancing the firm’s workflow efficiency.

Related article: Build Mobile Banking Apps Fast and Right with Autonom8

No-Code Development Platform Outlook and Trends to watch out for in 2023

The rise of citizen developers outside of IT has fueled the demand for more customized tech solutions to support digitalization, impacting the expansion of low-code and no-code platforms. As a result, businesses are making significant investments in low-code development. According to Forrester, total investments in the no-code space are likely to reach $US21.2 billion by 2023, with a CAGR of 40%.

The top areas where no-code development will grow in demand are:

Cloud technology

Cloud data transmission, like all other aspects of the IT business, is constantly evolving, necessitating meticulous testing and analysis for every service currently being developed. The process of conducting analytics analysis can be more straightforward using Low Code solutions.

Low Code tools can shorten the time needed to examine a new system by using a graphical interface for software testing and analysis. Low Code is user-friendly enough for non-programmers as well as staff members at the company to use. This will significantly speed up the development process and increase the number of projects the business can manage simultaneously.

  1. Work from home, develop apps from home-
  2. The pandemic has proven that working from home has shown increased productivity, and according to the most recent figures, 48% of employees will continue to work from home by 2023. With no-code platforms making building and deploying apps easy, this will encourage more people to develop and deploy apps from their homes efficiently.

Artificial intelligence

Artificial intelligence is a simplified version of how human brains function. AI can analyze, generate, and produce hundreds of solutions using all the information on the World Wide Web as tools. Despite its technological complexity, AI cannot create itself; programmers and developers perform this task. Unimaginable progress in this direction will be made possible using Low-Code/No-code tools to speed up the development process and in-depth AI analysis. Therefore, professionals will be able to complicate the AI substantially, making it more diversified, intelligent, and in some respects more advanced by simplifying the construction and review process.

No-Code development platform trial – Autonom8 

The market for low-code and no-code platforms, proliferating and will double in size over the next five years, is promoting the emergence of citizen developers and accelerating software development. According to recent ISG research, the market is currently valued at around $25 billion, and by 2027, this industry is projected to grow at a CAGR of 28%, reaching $45.5 billion. Are you prepared for what the future holds?

Build and launch your enterprise apps more quickly than ever before. Using Autonom8’s no-code platform, you can create apps using your ideas with drag and drop. Quickly scale and modify apps on your own Integrate with a range of third-party apps without any issues. Democratize the development of apps to spur creativity among various corporate departments and encourage the development of your company leaders without compromising data security. The no-code development platform by Autonom8 is a platform for businesses looking to maximize the abilities of their volunteer coders.

FAQs on No-code development

What is a No-Code development platform?

Software that uses a visual development environment is known as no-code. No-code software employs a drag-and-drop, point-and-click approach that allows you to design solutions visually without manually coding actions, conditional logic, or other aspects.

What are no-code platforms most commonly used for?

While there are many applications for no-code tools, our research reveals that most professionals use them to prototype new concepts or products. No-code software tools make it incredibly quick and straightforward to construct your solutions to even the most challenging challenges, from developing websites and apps to creating digital workflows and paperless procedures.

How secure are no-code platforms?

A no-code app is just as safe as your other apps, but it's crucial to pick the right platform and involve IT in the implementation process. Employees risk creating apps that need to comply more with the company policy when they use dispersed, unapproved, or unmonitored low-code solutions. IT may create boundaries and guidelines in advance with the right platform and strategy, ensuring that all apps are developed securely.

Are no-code platforms customization?

To a certain extent. You can take the help of the platform's premade templates to create your apps. If you need fresh templates, you will need the IT department to design one.

Does a no-code platform make developers obsolete? ‍

No. Quite contrary. The no-code platform generates employment that concurrently supports software engineers, DevOps, and IT. No-code solutions simplify the work of developers rather than replacing them, relieving them of the stress and pressure of lesser tasks so they can concentrate on more challenging, specialized projects.

Increase Banking CSAT with Conversational AI Chatbots in 2023

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Introduction to Conversational AI Chatbots

Modern customer involvement requires business owners and entrepreneurs to offer their current or potential customers timely solutions. Understanding the reasons behind low customer satisfaction levels [CSAT] is crucial for banking firms. To increase CSAT, the banking sector needs to find a technical solution. Conversational banking is one option among the ones offered that can raise client satisfaction levels. When customers want to communicate and solve their problems, they expect human-like intelligent discussions; they want to be heard wherever and whenever they need it. Clients can use conversational AI in banking without human participation or support to complete daily banking tasks.

As a result, chatbot technology has become widely used, arguably more so than at any time since it first achieved notoriety. 40% of firms cited Customer Experience (CX) as their primary driver for deploying AI technology, according to Gartner. However, chatbots by themselves need to be adequate. Businesses are moving away from conventional, totally automated, and “dry” encounters and toward conversational AI solutions.

Conversational AI is not the same thing as chatbots. However, that does not imply that they are unrelated. Unfortunately, the terminologies are frequently used interchangeably, leading to confusion. 

What is CSAT? 

CSAT gauges how well a customer’s expectations for a company’s good or service have been met, missed the mark, or exceeded.

What distinguishes conversational AI from chatbots, then?

Computer programs or devices that can “chat” with you [online] are called chatbots. Some chatbots have robotic appearances. The AI technological tools that enable conversational interactions with computers are conversational AI (or conversational artificial intelligence).

In other words, it alludes to various AI technologies employed to make it possible for computers to communicate “intelligently” with one another. They use technologies such as Natural Language Processing [NLP], Machine Learning [ML], Deep learning, Intelligent predictive analysis, and conversational AI power chatbots.

How do conversational AI Chatbots work?

According to The Fintech Times, the number of midsize banks and credit unions using chatbots tripled in just one year in 2021. Use increased from 4% to 13%. Analysts predicted that usage might have doubled by the end of the previous year.

Artificial intelligence (AI) technologies have an ever-greater impact on our lives, from quick translation to conversational interfaces. This is especially true in the financial services industry, where adversaries have already introduced innovative AI-driven products. If completely integrated, these capabilities can dramatically increase client engagement by supporting their economic activities across various online and offline settings with intelligent, highly tailored solutions offered through an easy-to-use interface. These are the fundamental criteria for an AI bank.

Using Alexa, one can ask, “When is my next monthly loan due?” or ask Siri, “What was the last payment made on the credit card?”. Virtual assistants have made life easy, and customers now demand the same level of service from their banks. Amazon Echo/Dot has Alexa, Google Home has Google Assistant, and Apple has Siri. Ask them a question; voila, you get options to choose from within a second. Banks and credit unions can automate up to 60% of business transactions by implementing intelligent virtual assistants [IVA] while engaging members through natural conversation and providing individualized self-service alternatives.

How does Conversational AI help banks improve CSAT?

Faster query resolution

In 2020, customers had to wait 3 hours to speak with a human representative when phoning their bank, which led to losing business and customers. The pandemic highlighted the importance of conversational AI and how it could turn things around.

As conversational AI improves understanding of human input, it is simpler for users to communicate with gadgets and software. Users will only need to write as many words or in the appropriate order to be understood and have their questions answered.

Unlike a conventional chatbot, a conversational AI assistant deals with more sophisticated and complex interactions and provides clients with answers to their questions and problems more quickly and effectively.

Time is significantly reduced by this more rapid and precise query resolution. It also helped optimize the cost and utilization of available resources. 

Personalized follow-ups and recommendations

Conversational AI integrates customer data from the business to fully understand the customer journey. Through predictive analysis, it makes personalized recommendations and responses using this data to analyze client behavior, spending patterns, and the products they are most interested in.

Direct promotions are less effective for banks than this type of cross-promotion of goods and services through targeted, hyper-personalized recommendations.

AI assists banks in ensuring quality and consistent customer experience across all channels and touchpoints to a greater extent. The more effectively it feeds on data quality and advances its knowledge.

Improved customer experience

Client pleasure and experience are greatly enhanced when conversational assistant AI uses Natural Language Processing (NLP) to examine customer input or queries and provide the best possible response.

It gives clients the sense that they have been heard, which is crucial for call centers and the banking sector.

AI predicts what the client could require next based on previous encounters and talks, making it simpler to follow shifts in context with a natural, fluid conversation.

For instance, imagine a consumer raises a question in the middle of a discussion. In that situation, AI responds to and answers the question, providing pertinent data and bringing up the initial query.

Related article: The Definitive Guide to Conversational Banking

Benefits of Conversational AI Chatbots in Banking

Superior experience in design can produce a lot of value. According to a McKinsey survey of US retail banking customers, deposits grew 84 percent faster at banks with the highest reported customer satisfaction levels than at banks with the lowest satisfaction levels.

  1. Better lead management 
  2. Strengthen customer engagement 
  3. Round-the-clock efficient service
  4. Connect & interact across channels
  5. Better privacy & security 
  6. Personalization
  7. Real-time metrics 
  8. Reduce customer service cost 
  9. Streamlined processes
  10. Automated fraud detection

Different kinds of Banking Conversational AI Chatbots 

Banks and credit unions integrate chatbots into their websites and mobile apps. A user can ask the Chatbot for assistance or accept its offer by clicking or tapping on the icon. Which program is most effective depends on the needs of the customers the bank intends to meet.

(1) The most commonly used form of Chatbot is the Rules-based Chatbot

Chatbots, in this case, follow a simple flowchart to replicate discussions using rules. The Chatbot occasionally poses questions and offers consumers a few options during a conversation. The flow chart shows how the dialogue changes depending on the user’s response. The clients will find the information or page they’re seeking when the Chatbot takes all the right turns based on their responses.

The correctness of the chart determines how effective a rules-based chatbot is. Computer scientists sometimes call these programs “set guidelines chatbots” or “basic chatbots.”

(2) The other kind are the Menu chatbots

Menu chatbots give the user options in the form of a menu or buttons. Frequently asked questions like “How do I find my routing number?” may be presented as buttons on a banking menu Chatbot. Another option is to provide information in categories like “account security” or “open an account” on a menu.

Lack of intuitive classification and language difficulties are two issues with menu chatbots. Due to language-based problems, a consumer may need help to interact with the Chatbot. Even if the customer knew what he was looking for, the menu might be closed if the Chatbot used strange phrases or different language.

(3) AI Chatbots

AI chatbots are much more advanced than chatbots with a “flowchart” design. Chatbots can be trained by scientists using machine learning, and massive datasets use to train chatbots to comprehend relevant facts and human speech.

Chatbots can train to comprehend the query’s context and the definitions of the terms used in it. It also gives chatbots ways to give users access to their data securely. While training increases the sophistication and realism of a chatbot, it is also costly. For banks, the return on investment can occasionally be worthwhile, significantly if it increases customer acquisition.

Some of the other lesser-known chatbots are – Contextual Chatbots, Keyword based Chatbots, Voice-based chatbots, and Hybrid Chatbots.

Related article: Conversational AI in banking in an era of social distancing

How to implement Conversational AI Chatbots in Banking and Credit Unions

Steps involved in implementing Conversational AI chatbots:

1. Problem Identification – What problem are you trying to solve? Why do you need a Conversational AI chatbot?

2. Define the goal – Is the objective to reduce response time? Generate more leads? What would a successful implementation look like? Define the KPIs and metrics.

3. Choosing the exemplary Chatbot architecture – Are you looking to hire a team to implement the chatbots? Would you prefer to work with a low-code platform?

4. Give your Chatbot a personality – Create a persona for the Chatbot. They are going to be the face of your business. How do you want them to greet/interact with the customers?

5. Trial, Monitor & Measure – Before going Live with the chatbots, understand what your customers are looking for. Map their behavior to the algorithm. 

Examples of Conversational AI Chatbots in Banks and Credit Unions

Automate your crucial banking functions.

Conversational AI gives your customers agency over the process via a friendly, self-service interface without requiring them to interact with a human operator unless they choose to, whether it be for opening a new account, reporting a lost card, checking account balance, processing mortgage payments, or any other core banking services.

Quick and individualized service

Deliver prompt, precise, and consistent responses to inquiries about the goods and services offered by your bank to lower barriers to customer service and support. Robust integrations like user authentication can enable proactive and customized responses that cater to specific consumers’ demands and get better over time, owing to self-learning AI.

Case studies of Conversational AI Chatbots in Banks and Credit Unions 

An emerging fintech company wanted to outsource its technology while concentrating on sales and credit. The top considerations were the rapid product variant rollout and building a distinction around quick payments.

Autonom8’s Conversational Banking Solution:

The platform was modified to deliver several workflows tailored to the product’s needs. Purely digital, capturing documents using image capture or document upload

Delivery in 15 business days

Agile to adapt to changes at the field and organizational levels in 8–16 hours

Absence of client IT involvement other than integration with their back-end systems

Sales efficiency is higher by ~25%, with back-office productivity up by ~45% (compared with similar products from the competition)

The client saw a 4X reduction in the sales cycle, a 50% increase in efficiency, and a 15% better customer experience! 

Read more Autonom8 case studies

Autonom8’s conversational banking platform trial to increase CSAT

Texting and chatbot services are the preferred means of communication for many clients. 

An efficient, innovative conversion tool, conversational AI assists banks in the following ways: 

(a) Offer support for submitting applications for various banking goods and services conversationally.

(b) Sends customized advice and recommendations, providing prompt assistance and avoiding client churn.

This improved customer experience boosts bank conversion rates, benefiting the banking business. Banks and credit unions can increase productivity through automation, offer highly personalized customer experiences, provide the highest security available, and generate new revenue streams with the help of Autonom8’s range of digital solutions. A8Chat is an AI-powered, enterprise-grade Virtual Assistant that can learn, adapt, and evolve based on the growing needs of your employees and your IT Helpdesk. Visit Autonom8 for more information on how our solutions can help transform your CSAT. 

FAQs on using Conversational AI Chatbots to Increase CSAT

What are conversational AI Chatbots?

Conversational AI Chatbots offer instant connection and response, leading to better customer engagement and relationships. For example, when you visit a website, you will see a small button or icon at the bottom. When clicked, it opens a chat box using which the visitor can chat with a chatbot to clarify queries or obtain inputs to help them make informed decisions about the product/service offered by the company.

How conversational can AI chatbots be used in banking?

Through the chat interface, customers can engage with a variety of conversational AI banking operations, including reporting possible fraud on their banking cards, requesting an increase in their credit card limit, and obtaining a breakdown of recent transactions.

How conversational are AI chatbots transforming the banking industry?

Voice bots or IVRs (Interactive Voice Responses) are becoming more and more common in customer support, even in the banking industry, thanks to the increased popularity of Amazon's Alexa and Google's Home Assistant. By implementing conversational banking chatbots, financial institutions guarantee a smooth, contemporary customer experience with self-serve and instant query resolution capabilities and lay the groundwork for future customer engagement.

How to Advance Your Digital Customer Journey Strategy with Low-Code Automation

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Introduction to Low-Code Automation & Customer Journey 

We have written in detail about Low-code and how it benefits companies across processes, systems, and customer experience. Low-code/no-code automation is swiftly gaining traction in virtually every industry. According to Gartner, by 2024, seventy-five percent of significant businesses will use at least four low-code development tools instead of only one. It makes sense, especially considering the numerous commercial advantages of this kind of automation.

Many firms have adopted a siloed approach to automation. Initiatives for automation are frequently carried out within a particular department, business function, or geographic area. However, a fragmented strategy lessens automation’s benefits and makes scaling challenges.

With low-code automation, business users and developers may create, automate, deploy, and make changes to applications, workflows, and processes with little to no coding knowledge. With the help of the solution, business-critical operations may be quickly digitalized and optimized, freeing up staff members to work on more complex projects. Teams/individuals with only essential coding experience can quickly create workflows, applications, and procedures.

The customer interaction with your business is known as the customer experience (CX). Ultimately, CX is all about the impression and feeling a client has of your brand after interacting with it. CX is the culmination of all these encounters and their impact on the customer because they now occur across numerous channels and touchpoints.

Related Article: 7 Key Benefits of Low-code Platforms for Enterprises

How does Low-Code Automation work?

Unlike conventional back-end computer programming, low-code automation takes a more visual approach by using pre-designed templates and an easy-to-use drag-and-drop interface to construct programs. Additionally, it speeds up the development processes by enabling users to reuse the components whenever they wish. Low-code technology allows business and IT teams to automate and digitize their business processes without creating significant code.

As repetitive operations are automated and the number of resources needed to create digital products decreases, developers will concentrate on incorporating fresh, cutting-edge features.

Cloud migration will speed up this transformation and benefit numerous techniques, such as CI/CD and infrastructure-as-code.

What defines a “just right” strategy for low-code automation? The study carried out by Forbes on scaled automation discovered the following information:

• A single-vendor strategy for automation is viewed by 99% of enterprises as the best way to address the problems of siloed efforts and scalability.

• Four of five automation decision-makers stated that an automation platform must be simple and intuitive.

Business line managers choose platforms that are easy to use (71%), easy to learn (73%), and have excellent integrations with current technologies (74%).

The most significant benefit of low-code and no-code is that it enables brands to speed up development timelines and introduce new, enhanced, or improved CX services to the customer.

CX/Customer journey design utilizing low-code or no-code is a continuous process of removing pain spots in the customer journey while improving the overall customer experience, similar to most customer-centric projects.

This iterative approach gives the UX team information to make reasonable design adjustments and test again with people. Only when the CX is an excellent product built or expensive product development is undertaken. The procedure, he continued, can be incredibly easy or extremely complex and could involve anything from changing the appearance of a mobile app to changing the messaging on a website.

Why do businesses need to pay attention to low-code automation?  

businesses pay attention to low-code automation to improve customer journey

Source: McKinsey

What goes into a Successful Digital Customer Journey Strategy?

A solid digital Customer Journey strategy necessitates the ability to design experiences specifically branded for your company and to alter or add functionality quickly and affordably to keep up with customer demand now and in the future.

What characteristics define a fantastic digital client experience?

An approach that encompasses speed, convenience, consistency, and simplicity of access to goods and services over a complete digital journey, making it more than just a mobile app or customer portal. The following are the essential elements to remember when developing a digital Customer Journey strategy. 

Customer feedback

A successful digital customer journey/experience execution involves swiftly meeting consumer demand. Commercial off-the-shelf (COTS) solutions, intended to be somewhat customized, make it challenging to introduce new goods quickly and pivot even more rapidly. Avoid solutions that mimic those of your competitors if you want digital CX to function as a competitive advantage. To do this, your business’s digital customer experience strategy should enable you to interact with customers in novel ways and quickly and easily adapt to their changing needs.

Seamless processes across touchpoints

Companies must be able to provide top-notch experiences for all touchpoints and kinds of engagement. However, traditional development, which necessitates many dev teams with various specializations and levels of skill, is expensive and time-consuming, and COTS solutions make it difficult. Delivering consistent, frictionless, and linked customer journeys across channels is crucial, whether the channel is mobile, online, chat, voice, or AR/VR. But to do this, you must design pixel-perfect user interfaces that accurately reflect your distinct brand identity and use the appropriate architecture to support fluid animation and quick page loads.

End-to-end automation

The modern consumer demands quick, simple, and convenient self-service tools. By minimizing manual and repetitive labor, businesses can increase productivity, save expenses, and improve the standard of their customer services. It should be simple to link to any existing record-keeping systems or third-party services, such as SAP, Salesforce, or Paypal. Utilizing visual process modeling and automation that connects with current technologies is also crucial.

Scalable solutions

Leaders focusing on digital CX must scale confidently and rely less on highly qualified developers, external services, or COTS solutions with constrained capability and scalability. Organizations may create future-proof apps that can scale to support millions of simultaneous users without experiencing any lag time by using a modular, standards-based architecture.

Benefits of low-Code automation concerning customer journey

benefits of low code automation in the digital customer journey

Digital customer journeys in Banking

A digital customer journey is a visual representation of all customer interactions with the business to achieve a particular objective. In this case, customers would go through two or more steps to successfully apply for a personal loan or housing mortgage from a banking institution.

Loan or Mortgage - Customer Journey

Loan or Mortgage Orientation 

Customers are contacted by an outbound marketing team from the bank to enquire for loan requirements OR they could be interested in a particular banking service specific to their mortgage requirements and might approach them through traditional channels like web/phone/email.

Document Submission

Upon successful qualification based on preliminary queries, the customer submits the necessary identity and financial documents through online submission or through a collection agent, who routes the documents to the bank, then forwards it to a credit review team.

Credit Review

The customer then awaits feedback and approval from the bank via the credit review team, which carefully verifies the paperwork to determine the eligibility limits and creditworthiness of the individual seeking the loan.

Account creation and onboarding

Customers get an authorized letter with detailed APR and mortgage closing instructions on successful approval. They can now complete the necessary closing paperwork to fulfill home-buying formalities. Upon completion, they are given access instructions to review their loan details online.

Post disbursal support

Once the mortgage amount is successfully disbursed, the monthly EMI schedule terms kick in, and the customer is notified about the payment schedule. They can contact the bank for supporting documentation like tax certificates or adjustable-rate updates through email/phone/online chat.

Learn more about digital customer journeys in various industries:

  1. Digital customer journeys in Banking
  2. Digital customer journeys in Insurance
  3. Digital customer journeys in Healthcare
  4. Digital customer journeys in Education

How do you know you have the right low-code automation platform?

A customer-centric platform that enables everyone to contribute to the automation and transformation of digital workflows brings about a wide range of advantages. With low-code automation, businesses can finally realize the full potential of their workforce, utilizing all available resources and lowering their reliance on IT for automation development. 

The bonus is that non-technical stakeholders can quickly develop, automate, and transform digital workflows and other complicated processes by utilizing their expert understanding of company operations and processes. Team members with stronger technical backgrounds can concentrate on activities requiring more advanced programming because citizen developers can fully automate operations.

For quicker, more lucrative, and more scalable outcomes, business analysts and citizen developers can effectively work alongside IT experts and professional developers. Increased collaboration and productivity facilitate a better customer experience, and enterprises profit from more flexible and agile workflows.

Low-code automation platform trial – Autonom8

Enterprises can build consistent, future-proof consumer touchpoints across online, mobile, wearable, conversational, and immersive experiences using the no-code and low-code solutions available on the Autonom8 Platform. Our automation solutions offer quick and seamless integration with various products and platforms; it makes automation accessible to people of all skill levels, including citizen developers, bridging the knowledge gap and ensuring scalability. 

FAQs on Digital Customer Journey Strategy with Low-code

What is Low-Code Automation?

With little coding experience, users can automate application processes using low-code automation tools. The most popular parts are typically integrated through visual modules so that people may use them quickly. However, coding expertise is required when carrying out intricate or particular interactions.

How do you define Customer Journey Strategy with reference to Banking?

Banking customer journey automation creates a predetermined path to assist clients with whatever assistance they might require. It aids in enhancing interactive features, communications, and client interaction. Using tools that evaluate and improve your data with programs to give pertinent, timely targeting and messages improve the client experience.

How does Low-Code Automation help boost customer journey?

By 2024, 66% of major enterprises will use at least four low- or no-Code platforms, and 65% of apps will be developed utilizing these platforms, according to Gartner. In a similar vein, Forrester estimates that by 2022, the market for low-code technology platforms will be worth $21.2 billion. Business applications can be developed utilizing drag-and-drop interfaces, pre-built shortcodes or blocks, and a lesser amount of heavy coding thanks to low- and no-code platforms. The amount of money and effort needed to develop these apps is significantly lower. Subsequently, these platforms help businesses improve customer engagement and create better experiences.

What are the elements of a Successful Digital Customer Journey Strategy?

Understanding customer behaviour and acting upon feedback
Seamless connection across touchpoints
End-to-end automation of processes
Scalable solutions

BPM vs. Workflow Automation | Which is Best for Your Business?

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Introduction to BPM & Workflow

BPM is a discipline to optimize processes, manage, and monitor process performance using specially designed IT applications. Today, many companies are offering BPM software (BPMS) to automate processes and build workflows. BPMS provides an environment where business users can change the methods based on “pre-built” components without needing “hard coding.” Therefore, before selecting the vendor for BPMS implementation, a thorough pre-assessment of what the system is supposed to achieve is required. 

BPM relies on the logic of “work packages” that are transferred from one location to another with the aid of a system, minimizing the need for manual intervention. Routing is carried out either by pre-defined systems’ “programmed decision logic” or pre-determined processes (workflows) (rules). The process is made substantially more efficient by automating workflows and regulations. Why does this matter? Systems carry out the steps of the process by converting business decisions into rules that allow systems to make decisions automatically.

Workflow refers to the pairing of all jobs to work together to achieve a common objective and produce reliable outcomes. Streamlining various tasks will facilitate closing communication gaps, increasing productivity, preventing discrepancies, and improving quality and delivery. A company can use workflow software to support its operational procedures. They help in the timely completion of tasks and deliver messages and alerts if approvals are pending.

Although it is a part of BPM, Workflow focuses primarily on task management and the execution of recurring, more straightforward individual activities. One of the most direct methods to increase productivity, streamline corporate processes, and cut expenses are workflow automation. Workflow management software is one of the automation tools that may be utilized to automate all organizational operations.

In this post, we shall discuss the differences between BPM and Workflow and give you valuable insights to help you decide which one to employ in your business.

Similarities & Differences Between BPM vs. Workflow Automation

The Similarities

  • Workflow and business process management (BPM) are used to streamline business and organization processes.
  • They expedite processes, lessen confusion, and increase effectiveness.

 The Differences

  • In contrast to BPM, which focuses on the complete business process, Workflow relates to a specific activity.
  • There is a sequence to how tasks are completed in Workflow, whereas, in BPM, you have multiple projects running simultaneously. 
  • The main objective of a workflow system is to complete one goal within the shortest time, but BPM is all about managing various processes together.
  • In addition to individual goals, BPM also emphasizes report generation and analytics.
  • Business process management includes Workflow as a subset, but not the other way around.
  • Workflow automation works best when it comes to document reviews & people, while BPM is best suited for strategic company-wide initiatives – integrating systems, processes, & people. 
  • BPM suites (including iBPMS) can easily interact & integrate with various systems (iPaaS, business rules, and so on). 
  • Workflow automation is simple, better organized, and therefore faster but less scalable. This translates to reduced investment and cost. BPM, however, is very different. It is enterprise-ready, highly scalable, and offers specific insight into every business function. The downside is BPM is more expensive.
  • Workflow is a component of BPM, whereas BPM covers workflows. 

Despite these points, both solutions have been designed to help streamline business operations and manage the entire workflow process automation.

Related Article: A Complete Overview of Enterprise Workflow Automation

Battle of BPM vs. Workflow Automation Software

The main objective of workflow management software is to give you alternatives for structuring your workflows. It may have the capacity to build parallel courses for an item to follow, link with other programs, or generate conditional stages.

A much more comprehensive picture of all the processes in your company will be provided by BPM software. Robust workflow features are part of great BPM software, but it also assists with data organization, comprehensive reporting, and process health monitoring from a single dashboard.

Workflow Automation Use Cases

Automation Vehicle finance for a leading lender

Redefining processes to increase productivity, optimize cost and provide seamless integration.

Autonom8 Low code platform ROI

A leading company in vehicle finance faced key issues: low salesforce productivity, poor user experience, compliance issues, and limited ability to make process changes. Apart from these, they also had difficulty processing large volumes of leads and with integration.

Autonom8’s low code platform helped reimagine their internal process to create a single view & execute complex rules – with the ability to manage multiple borrowers & vehicles configured the platform with a weekly review of UX and business rules, with a variety of client stakeholders. The implementation was completed within 60 business days and saw lower IT dependencies. Read the whole case study here

Related article: Beyond RPA | Exploring the Future of Intelligent Automation

Field Operations Automation for a Telecom enterprise:

The client was a well-known business with 25 years of experience in the IT and telecom industries. It uses machine learning and artificial intelligence tools to automate processes and improve customer experiences. By reducing the number of times, sites had to be visited and closing process gaps, they also wanted to give the field team access to their performance database. 

The challenges faced by the customer were –

Wanting to ensure fewer site visits are required due to process gaps.

Give the field team access to reports and control so they may take responsibility for the caliber of their services.

Solution:workflow automation case study

Autonom8 built a complete integrated application that can be hosted on their private or public cloud HW infrastructure for field operations to improve the client’s automation capabilities. With the help of A8’s end-to-end AI-based Workflow Manager, the Field Operations Processes can be scaled and adjusted as desired by the client. Overall 25% boost in efficiency, a 20% operational cost saved, and a 50% increase in skill & headcount resources. 

How Do You Choose Between BPM vs. Workflow?

Workflow software is the way to go if you want to automate your department’s Workflow or organize a specific process. Workflow, as previously said, is simpler to execute and enables you to achieve outcomes at an average pace.

BPM is the way to go if you want to simplify the business operations of a department with numerous interconnected activities. You may manage various procedures, forms, alerts, reports, and other capabilities with it. However, it requires both training and an initial financial commitment.

Workflow software can help your business automate a single workflow, reducing repeated work and boosting efficiency. An automated workflow, for instance, can speed up approvals and minimize processing costs if your accounts payable staff needs help keeping up with the volume of invoices.

There is numerous software out there. How do you pick the best one? Here are some key elements to take into account when selecting a workflow management system for your company:

  • The ability to integrate with other systems that your company has previously put in place. This prevents you from starting from scratch when using the software and ensures that it can blend effortlessly with current technologies and processes.
  • After implementation, the software’s easy customizability or modifiability allows it to be specifically adapted to your needs and requirements. This guarantees that all users can use it effectively and efficiently while carrying out their regular tasks for the company.
  • Access to information relevant to their unique jobs for users at all organizational levels—from CEOs to frontline staff—without having overly broad permissions or default access rights granted (unless they explicitly requested those rights during set-up). This makes it possible to keep track of everyone participating in every process or activity inside a specific organization, such as customers who want their orders processed fast and accurately and staff who require training materials provided in advance to do their tasks.

Related article: A Complete Guide to No-code Development for 2023

Autonom8 Workflow Solutions

A RedHat survey discovered that 50% of respondents believed BPM & workflow automation software would help optimize associated costs since they offer better-managed processes. Choose a complete BPM tool like A8Flow without a doubt because it is more robust and has more valuable capabilities than a straightforward workflow tool that can have less functionality. Additionally, any BPM software can design workflows and streamline them to increase efficiency.

A8flow enables you to create powerful enterprise workflows for your customers visually. Adapt and customize your business processes end-to-end without writing a single line of code. Deploy changes on the cloud instantly.

FAQs on BPM vs. Workflow Automation 

What is BPM software?

Business process management software (BPMS) is an enterprise-level solution for managing basic processes, automating repetitive operations, and handling process logic. Processes are accelerated and optimized using BPM systems, enhancing productivity. Business process automation helps staff to concentrate on higher-value work and exceptional circumstances by guaranteeing that activities are done consistently and delivered to the appropriate users in the proper time.

What is workflow automation software?

You can control the movement of the digital processes used by your firm with the aid of workflow software for business process management. Workflow software for business process management aims to assist you in streamlining internal business processes so that they operate more smoothly, with fewer bottlenecks, and with greater efficiency. The result is a better-organized workflow that frees team members to concentrate on what they do best rather than getting sidetracked by pointless duties or bureaucracy.

What are the major differences between BPM & Workflow?

The finest workflow management solutions facilitate employee productivity by arranging people and documents. BPM solutions enable connecting Enterprise Content Management (ECM), Customer Relationship Management (CRM), and other applications, allowing businesses better to manage their numerous departments, processes, and employees.

How does a good workflow automation platform help the business?

(1) Streamline your workload to increase productivity.
(2) Since you will follow the workflow step by step, you will have fewer things to remember.
(3)Build processes depending on several occasions or circumstances, such as a certain kind of client email, project, or invoice issue.
(4)Reduces task duplication by dividing work into distinct steps.
(5)Removes workers' need to resolve conflicts independently.
(6) Increase efficiency by cutting down on time spent on unnecessary tasks.
(7) With workflow processes, team collaboration moves more quickly.

 

 

How to Measure & Maximize ROI of Low-code

Posted on by atnm8master

Introduction to Low-code 

Compared to conventional methods, low-code platforms simplify, accelerate, and reduce the cost of application development, which is especially appealing to IT departments. As the preferred technology, the digital workplace adopts low-code and no-code applications, and application development will be replaced by assembly and integration. According to recent research by Gartner, by 2025, 70% of newly developed enterprise applications will employ low-code or no-code technologies. To know more about low-code, refer to our earlier post.

How does Low-code work?

Low-code applications are developed utilizing a visual development environment with tools such as drag-and-drop modelers, intelligent services, components, and pre-built connectors. They reduce the need to write code and significantly accelerate the development and deployment of applications.

Low-code application development permits development teams and business users to create more applications (of any level of complexity) in less time than traditional coding. Low-code application development platforms enable organizations to become more agile and quickly meet enterprise business requirements such as workflow automation, streamlined business operations, improved customer journeys, and policy and regulation compliance.

Related Article: 7 Key Benefits of Low-code Platforms for Enterprises

How to measure Low-code ROI?

Measuring progress with well-defined metrics is the first step to achieving success with digital transformation (DX) initiatives utilizing low-code and ensuring that your LCAP delivers value commensurate with its cost.

1] Choosing the right platform

Before you begin calculating the number of users for your low-code platform, you should note that various types of media are available. Choosing the incorrect one will result in negative financial figures quickly. Low-code automation platforms fall into three primary categories.

The first is general-purpose platforms, which enable teams to build applications that can do virtually anything imaginable and run on any operating system. These tools are favored by seasoned developers, who value their enhanced superpowers that shorten development cycles by enabling rapid deployment and editing of new applications.

Second, mobile app development platforms are primarily designed to create mobile apps. Again, the application’s functionality can be pretty expansive, but MADPs are mainly used to generate apps that will reside on a mobile device. Some low-code tools help mobile developers work faster, while others make app development less intimidating for non-programmers.

2] Defining core goals & objectives

Before calculating ROI, you will need to determine which metrics are most important to your digital strategy. You can collect many metrics, but only the relevant key performance indicators (KPIs) will assist you in achieving strategic objectives.

To measure the metrics, it is essential to do the following:

a] Determine what you would like low-code to do for you. If your LCNC platform drives the organization’s broader application delivery objectives, you should consider time-to-market and adoption metrics. Productivity metrics should be considered if it is expected to be a point solution to a specific problem.

b] Determine the users of the platform. If your goal is to assist developers, you should search for metrics that pertain to enhancing IT output. To engage citizen developers, look for KPIs and growth related to digital transformation.

Related Article: The rise of low-code platforms: 5 trends to anticipate in the future with stats

Top Metrics to measure Low-code ROI:

Digital strategies can vary from organization to organization, but you can rely on universal vital metrics to measure DX progress. The following metrics are required to evaluate the success of your low-code applications:

Low code ROI metrics

IT spending & dependency

IT expenditure is an essential metric for calculating the ROI of a low-code platform. Total IT expenditure compares your planned IT budget to actual IT expenditures. This KPI allows you to determine whether a project is overspending or underspending its budget. You can redirect resources, detect overspending, and create a budget by identifying the under-supplied areas of your IT infrastructure. A low-code platform should significantly impact the number of IT application requests and the speed with which developers can process them. Rapid application development (RAD) enables developers to produce apps that meet specific requirements rapidly. Low-code helps faster software delivery. On an LCAP, you can instantly design app prototypes and conduct iterations, drastically reducing the IT team’s turnaround time.

Measuring the metrics:

  1. Compare the cost and time required to develop an enterprise application with and without the low-code platform.
  2. Determine the number of individuals required to complete the project within the specified time frame.
  3. Estimate the additional resources required with and without the low-code platform.
  4. Calculate and evaluate the costs associated with alternative single-point solutions.
  5. Determine if low-code development can be utilized to complete delayed projects and rejected requirements. Determine if additional features and enhancements will incur additional costs when using low-code platforms.
  6. Determine whether developers have sufficient bandwidth to work on mission-critical projects without an LCAP.
  7. Examine the time required to maintain and update legacy applications without low-code.
  8. Compare the time it took the IT team to close requests before and after the implementation of LCAP.
  9. Examine and compare the impact and quality of IT output before and following implementation.

Related article: Characteristics of High-Performing Low-Code Solutions

Digital transformation benchmarks/progress

Digital transformation benchmarks quantify the scope of the business objectives you seek to accomplish through digital transformation. Measuring how often and effectively your employees use your low-code business applications enables you to determine whether your new tools are practical and efficient. 

Measuring the metrics:

  1. Analyze your current digital transformation strategy. Determine how your roadmap would change after implementing low code and how it would compare to the current roadmap.
  2. Determine whether a department can implement the road map.
  3. Calculate employee participation and engagement with the application.
  4. Determine if the application encourages voluntary adoption.
  5. Determine if the app promotes employee productivity by integrating it with other essential workplace tools.
  6. Compare and track the costs associated with these digital initiatives.

Reduce Stress Factors

One of the most prevalent (yet least discussed) reasons for turning to a low-code solution is the level of constant chaos that most IT teams face. From unhappy and hostile business leaders who demand faster app development to the stress of a growing queue of requests and escalations, the pressure that IT leaders are under appears to have no end.

Although possibly the most difficult to quantify, this return may be the most valuable. A low-code platform should significantly reduce the stressors facing the IT team and the business.

Measuring the metrics:

  1. How much time does your IT team spend on existing application support tickets, feature enhancements, and escalated issues? The implementation of a low-code platform should drastically reduce these.
  2. Your IT team’s perception of their contribution to the company’s mission. If your team is demotivated by developing small apps or maintaining existing ones, they may seek more challenging work elsewhere.
  3. What projects have you recently rejected? When the IT team is overburdened with existing tasks, turning down and redirecting high-impact projects results in a significant loss of opportunity and increased stress.
  4. How do other departments feel about IT? Ask other business leaders how they think of IT in a survey. Are they pleased with the response time, development time, and other measurables? As IT becomes an enabler rather than a stopgap, a low-code development platform can significantly improve these relationships.

How to choose the right Low-code platform for your business?

Low-code platforms with various functionalities, such as general development, process automation, content management, and integration, are available on the market.

The ideal low-code platform for any organization would satisfy current and future digital needs to increase productivity and profits. How can businesses select the optimal low-code forum? How can companies identify the appropriate capabilities to realize benefits?

  1. What capabilities do the current systems possess?

Understanding the capabilities of your current systems is crucial, as it enables you to plan for the capabilities your business requires. Will a low-code platform upgrade or augment your system’s capabilities? Or are you seeking a complete digital overhaul? Low-code capabilities are evolving to meet dynamic mobility, security, and user requirements, so you must know precisely which capabilities you need.

2. Do you understand the needs and desires of your organization’s stakeholders?

Line-of-business stakeholders work closely with particular business processes and are familiar with the existing challenges and user expectations. Include them in the decision-making process and carefully consider their input. In addition to their in-depth knowledge of market demands and regulatory requirements, they can provide insightful recommendations for selecting the optimal low-code platform.

3. Which business processes do you intend to automate?

Instead of considering only platforms with limited functionality to address a particular challenge, think a low-code platform with extended functionality. Some low-code vendors provide off-the-shelf solutions that target a specific functionality. However, what if you need a solution to address a different challenge within the same process?

4. Will your core systems integrate with a low-code platform?

A low-code platform should provide seamless integration with your organization’s core systems. Consider a platform with proven integration capabilities and accelerators to automate processes easily and a comprehensive view of vital data or information for end-to-end visibility for all departments, management, customers, and employees.

5. How will you evaluate the success of your low-code platform?

It would help if you benchmarked the current environment to determine how a low-code platform will add value to your organization. Include insights on current challenges, performance, and user experiences to clarify and identify other areas where a low-code platform may provide additional benefits.

Examples of ROI achieved through Low-Code platform

Automation Vehicle finance for a leading lender

Redefining processes to increase productivity, optimize cost and provide seamless integration.

Autonom8 Low code platform ROI
The key issues faced by a leading company in vehicle finance were low salesforce productivity, poor user experience, compliance issues and limited ability to make process changes. Apart from these, they also had difficulty processing large volumes of leads and with integration.

Autonom8’s low code platform helped reimagine their internal process to create a single view & execute complex rules – with the ability to manage multiple borrowers & vehicles configured the platform with a weekly review of UX and business rules, with a variety of client stakeholders. The entire implementation was completed within 60 business days and subsequently saw lower IT dependencies as well. Read the entire case study here

Chatbot orchestration for work-sharing platform

Customization of the platform to deliver multiple workflows for rapid deployment of product

An emerging fintech player wanted to fully outsource technology in order to focus on sales and credit. The two top priorities were the rapid deployment of product variants and the creation of a market differentiator based on rapid disbursement.
Autonom8 customized the platform to deliver multiple workflows tailored to product specifications. This included taking the entire process online making it easy to upload documents and supporting images. The entire process was implemented in 15 business days. The low code platform was agile to accommodate changes at the field and business level within 8 to 16 hours and involved minimal involvement from the IT department, except for integration with their back-end systems. Sales efficiency grew by 25%, while back-office productivity by 45%. Read the entire case study here

Note: In both these cases, the turn around time saw a phenomenal increase of 4x times!

Low-code platform trial – Autonom8

There is a good chance that low-code platform implementation will generate a positive return on investment. However, keep in mind that adopting low-code is a platform adoption. After completing the initial project, organizations work more often with low code. Utilize our low-code ROI calculator to determine if this technology can benefit your business. Autonom8 is an excellent starting point for low-code/no-code investigation. We have low-code solutions to streamline and automate processes. In addition, our pricing structure makes it one of the most affordable options.

FAQs on Low-code ROI

What is low-code?

How can you determine whether low-code platforms will generate a positive return on investment (ROI) now that you know how businesses can utilise them? Many CIOs and IT leaders are able to enumerate the benefits of low-code, but few have a method for determining whether it is worth the investment. The low-code interface is model-driven and drag-and-drop.

How to measure Low-code ROI?

You can create a variety of metrics to measure the success of low-code, but here are five options (that you are probably already tracking) that can help you determine whether or not a low-code platform is worth the investment.
(1) Reducing IT Spending & dependency
(2) Digital Transformation progress
(3) Boosting IT Output
(4) Reducing Stress Factors

What is the ROI growth going to be with low-code platforms?

84% of companies with the most stringent enterprise requirements use low-code development and see a return on investment, according to a Forrester report. The research demonstrates that low-code has the ability to overcome the most formidable obstacles to successful digital transformation. In fact, the survey revealed that 100% low-code adopters have realized a positive return on investment.

What is Customer Journey Analytics? & Why is it Important?

Posted on by atnm8master

What Is Customer Journey Analytics?

The first thing to understand when getting started with the customer is their journey, which can be classified into three main stages: Acquisition, Activation, and Adoption.

Acquisition Stage

A buyer/customer is looking for a solution to their problem during the acquisition phase. They learn about the company via an acquisition channel such as advertising, organic search, billboards, television, review sites, or word-of-mouth referrals. Once on the website, the prospect will continue the discovery process by exploring content, searching the site, or watching videos. They may even start a chat conversation or contact the company to learn more about its services.

Activation Stage

A prospect advances to the activation stage after completing the acquisition stage. The prospect is now referred to as a user or customer at this point. The user goes through an onboarding process during this stage. This process may include both an automated product onboarding experience and training managed by a customer success team. The former is essential for B2C businesses, while the latter is more common for higher-touch B2B businesses.

Adoption Stage

Customers enter the adoption stage once they have been activated. Users begin to incorporate the product into their work or personal habits at this stage. The longer they stay, the less likely they are to leave. Users of B2B products will invite colleagues to join and collaborate with them. For B2C companies, users will begin to form habits and become dependent on the product in their daily lives. During this stage, excellent customer service is essential!

Users will become promoters during the adoption stage. They will recommend and defend the product as if it were their own. This scenario is more common in modern businesses that use the bottom-up customer acquisition approach, in which the buyer is the product’s actual user.

Measuring customer experience continues to be a challenge for many businesses. Organizations have ranked quantifying the ROI of CX initiatives and investments as their most difficult challenge over the last three years. The primary barriers are data and organizational silos, particularly for banking, telecommunications, and insurance companies that are inundated with massive amounts of data from millions of customers.

Customer Journey Analytics is the process of determining the significance of each interaction a customer has with your company. Customer journey analytics can help you determine why your customers act the way they do and link your customer experience efforts to financial outcomes.

The process begins with a customer journey map, which is presented as a graph, flow chart, or other visual that documents each stage of a customer’s relationship with a brand. However, rather than simply mapping their customer journey, customer journey analytics goes a step further by analyzing the impact of each interaction on your customers’ decisions. Through this post, you’ll learn how to use customer journey analytics to improve customer experience.

Hyperautomation in Customer Journey Analytics

Hyperautomation, a rapidly emerging trend in the field of customer journey analytics, is transforming the way businesses manage and optimize their customer experiences. Hyperautomation combines advanced technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and natural language processing (NLP) to automate and streamline various processes within the customer journey.

By leveraging hyperautomation, businesses can enhance the efficiency and effectiveness of their customer journey analytics initiatives. Here’s how hyperautomation can be integrated into different stages of the customer journey:

1. Acquisition Stage:

• AI-powered chatbots and virtual assistants can automate customer interactions and provide real-time assistance during the acquisition phase. These intelligent chatbots can answer queries, provide personalized recommendations, and guide customers through the initial discovery process.
• ML algorithms can analyze customer data from various acquisition channels to identify patterns and preferences, enabling businesses to target their marketing efforts more effectively.

2. Activation Stage:

• RPA can automate the onboarding process for new customers, ensuring a seamless and consistent experience. This includes tasks such as account setup, user provisioning, and personalized product tours.
• NLP algorithms can analyze customer feedback and sentiment to identify potential issues or areas for improvement in the activation stage. This information can be used to optimize the onboarding process and enhance customer satisfaction.

3. Adoption Stage:

• ML algorithms can analyze user behavior and engagement data to identify patterns and predict customer preferences. This enables businesses to personalize the customer experience, recommend relevant content or products, and proactively address customer needs.
• AI-powered automation can automate customer service processes, such as ticket routing, issue resolution, and follow-up communications. This ensures timely and efficient support for customers, leading to higher satisfaction and retention rates.

Hyperautomation also plays a crucial role in data integration and analysis throughout the customer journey. It can consolidate data from multiple sources, including CRM systems, social media platforms, and IoT devices, providing a comprehensive view of the customer journey. Advanced analytics techniques, such as predictive analytics, can then be applied to this integrated data to uncover actionable insights and optimize decision-making.

Moreover, hyperautomation enables businesses to continuously monitor and optimize the customer journey by automating the collection and analysis of real-time data. This ensures that businesses can respond promptly to changing customer needs and preferences, identify bottlenecks or areas for improvement, and implement data-driven strategies to enhance the overall customer experience.

In conclusion, hyperautomation is revolutionizing customer journey analytics by automating and optimizing various processes within the customer journey. By leveraging advanced technologies and data-driven insights, businesses can enhance customer satisfaction, drive revenue growth, and achieve competitive advantage in today’s dynamic business landscape.

How Does Customer Journey Analytics Work?

Businesses use customer journey analytics because it is one of the most effective ways to increase customer lifetime value, improve customer loyalty, and drive revenue growth.

Customer journey analytics typically includes in-depth analysis of:

  • Customer expectations and demands
  • Emotional behavior patterns
  • Key metrics across each step in the customer journey
  • Scores across various aspects- customer satisfaction, customer effort

Customer journey analytics can assist businesses in directing their customers’ attention and resolving any pain points that prevent them from taking the desired actions. It enables them to enhance their customer experience and create a customer journey that not only takes customers where the business wants them to go but also connects them to the journey itself.

Importance Of Customer Journey Analytics

Today, Customer journey analysis derives insights from massive amounts of historical customer and operational data (Big Data), which is especially useful for identifying complex patterns in customer journeys. This analysis is becoming increasingly predictive. The ultimate goal is to use real-time data to take actions that improve each customer’s experience right away. A similar analysis of employee experiences can aid in service level improvement.

The way a customer’s journey plays out across channels—searching online, speaking with a contact center agent, visiting a store, buying online—is valuable data that can be difficult to piece together, but it is critical to understand. Sophisticated research assists businesses in understanding their customers’ actual experiences in a variety of settings and linking that to business outcomes, such as a customer’s likelihood of becoming a Net Promoter® of the company or product purchase rates.

Customer journey analytics provide teams with visibility into every critical customer interaction.
They no longer have to rely solely on customer feedback, which, while valuable, rarely tells the entire story. For example, while some users may provide customer feedback via a customer satisfaction survey, the majority will not, and the company may never know why those customers churned without customer journey analytics.

Customer journey analytics incorporates advanced analytics techniques such as

  • predictive analytics,
  • real-time analytics & updates,
  • customer segmentation, and a few others
  • to provide businesses with actionable insight that can directly impact their bottom line.

Benefits Of Customer Journey Analytics Platforms

customer journey analytics platforms benefits

Customer Journey Analytics Use Cases/Examples

Journey Report:

Companies can use the journey report to visualize customer touchpoints across multiple channels. Companies can use this report to:

  • Identify potential points of friction where users are leaving.
  • Examine the impact of initiatives on the conversion process at each stage of the user journey.
  • Before converting, determine which paths users are taking.

Attribution Report

The attribution report enables businesses to zero in on successful customers and estimate the contribution of specific touchpoints to their success.

Product marketing teams, for example, can segment their revenue based on the features that prompted users to upgrade. Companies can fine-tune their product roadmap by assigning dollar amounts to different features in order to increase conversions and decrease churn.

Retention Report

Companies can use the retention report to see how long users stay engaged with the company after completing a task. Companies, for example, can examine the percentage of users who subscribe to an email or push notification and then return to use a specific feature.

Related article: The Complete Overview of Customer Journey Automation

Choosing the Right Customer Journey Analytics Platform

With the objective to earn more about their customers, customer experience (CX) professionals and marketers are increasingly relying on customer journey analytics. Customer journey analytics software aids in the creation of better experiences on a large scale by providing real-time insights about individual touchpoints and interactive views of the journey as a whole.

If the market trends are any indication, businesses are doubling down on CX and digital experience efforts. According to 451 Research’s most recent Voice of the Enterprise survey results: [1] In the aftermath of COVID-19, 50% of respondents increased overall budgets to improve online experiences. [2] Advanced customer experience management tools are already in place in 68 percent of digitally driven businesses.

Customer journey analytics can help you understand your customers, make better use of your data, and get answers quickly. However, finding the right tool can be difficult. There are numerous customer journey analytics tools available, each with unique strengths and capabilities. Factors to keep in mind when making a selection:

  1. Real-time data & updates
  2. Predictive analytics
  3. Strong data visualization
  4. Customer behavior-based segmentation
  5. Data integration across channels
  6. Customized alerts & notifications to customers and
  7. KPI measurement

As always, the best solution is determined by your specific business needs and objectives.

Here are some potential trends and developments that could shape customer journey analytics in 2023

Greater emphasis on real-time analysis

As the importance of customer experience continues to grow, businesses are likely to place a greater emphasis on real-time customer data analysis. This could enable businesses to respond quickly to customer needs and adjust the customer journey on the fly.

Integration with more data sources

In 2023, we can expect to see customer journey analytics being integrated with more data sources beyond traditional sources like website and mobile app analytics. This could include social media data, CRM data, and even IoT data to provide a more holistic view of the customer journey.

Increased use of AI and machine learning

As the volume of customer data continues to grow, businesses are likely to rely more on AI and machine learning technologies to analyze and interpret the data. This could enable businesses to identify patterns and insights that might be difficult to discern using traditional data analysis techniques.

Greater focus on customer journey personalization

As customer journey analytics becomes more sophisticated, businesses may be better equipped to personalize the customer experience. This could include using data to deliver more targeted marketing messages, tailor product recommendations, and provide more relevant customer support.

Improved visualization and reporting

As businesses become more reliant on customer journey analytics, we can expect to see improvements in how data is visualized and reported. This could include the development of more intuitive dashboards and data visualization tools and more advanced reporting capabilities.

Overall, customer journey analytics is a rapidly evolving field, and we expect continued growth and innovation in the years ahead. By leveraging customer journey analytics, businesses can gain valuable insights into the customer experience and make data-driven decisions to improve customer satisfaction and drive business growth.

Customer Journey Analytics Platform Trial – A8iQ

One of the most effective ways for businesses to democratize customer data is through customer journey analytics. It enables every employee to answer questions about their work in order to make better decisions.

Customer journey analytics is a critical component of a successful customer journey management program, allowing businesses to manage, measure, and improve customer experience and business outcomes. It is the component responsible for data analysis, generating actionable insights to optimize journeys, and continuously measuring the performance of CX initiatives. The A8iQ platform from Autonom8 liberates businesses from the constraints of static business processes by incorporating intelligence into the workflows. With A8iQ, you can see deep business metrics that you couldn’t before, and adapt your workflows to continuously optimize these metrics, creating a learning feedback loop. The main highlights of A8iQ are:

  • Learn about your business metrics across the enterprise
  • Introspect, Analyze, and Optimize – all in one place
  • Share your view of the business any which way you desire
  • No last-minute surprises, Stay informed every time.

A8iQ pairs up with other A8Studio capabilities like A8Chat and A8flow, making your customer workflows intelligent out of the box. Connect with us today to find out how you can achieve this.

FAQ’s on Customer Journey Analytics

What is customer journey analytics?

Customer journey analytics is the science of analyzing customer behaviour across touchpoints and over time to determine how customer behaviour affects business outcomes. This approach is gaining traction as businesses recognise the value of customer journeys in monitoring customer experience performance and identifying opportunities for improvement.

What are the 7 steps to map the customer journey?

Customer journey mapping is a visual representation of how customers interact with your brand from their perspective. The 7 steps to map the customer journey are:
1. Set the business targets
2. Create customer profiles
3. Identify challenges
4. Chalk out the different stages customer goes through
5. Maximize the touchpoints
6. Identify solutions to earn customer’s trust
7. Review & revise [if necessary]

What is a customer journey model?

One of the many customer journey models is the Loop model from the Pedowitz Group.
1. Initial consideration of brands by the customer
2. Evaluation of the options
3. Making a selection
4. The overall experience

What is a digital customer journey?

The digital customer journey is the approach taken by an internet user from the stage of awareness to the stage of purchase. It encompasses every online interaction between the customer and the brand throughout the purchasing journey.

How do you map a buyer's journey?

It all begins with some preliminary research, looking at comparable products and comparing prices. Then comes learning more about the benefits and issues that people commonly encounter after purchasing the product by reading customer reviews online. Even if one does end up going to a physical store to make the purchase, chances are you will do some online research first, as 67% of consumers do at least some online research before making an in-person purchase. The different stages in the buyer’s journey are:

1. Awareness stage
2. Consideration stage
3. Decision stage
4. Retention stage and
5. Advocacy stage

A Complete Overview of LCNC Platforms

Posted on by atnm8master

Introduction to LCNC Platforms

According to Gartner, by 2025, 70% of new apps built by enterprises would use low-code or no-code technologies, up from less than 25% in 2020. Low-code and no-code applications are indeed becoming the preferred technology in the digital workplace. Application development will become less of a priority in favour of assembly and integration.

Low code is a rapid application development (RAD) approach that enables automated code generation. It requires little or no coding to create processes and apps. In a minimal code development platform, one can use visual interfaces with simple logic and drag-and-drop features in place of sophisticated programming languages. These simple strategies allow users to build software for a variety of uses, such as developing mobile and business applications, even if they lack advanced coding or programme production skills.

No code is a visual development interface, a programming platform, that enables non-technical people to build applications by dragging and dropping software components to create a complete app. Users can create applications with no-code without any prior coding knowledge.

Essentially, instead of writing line-by-line codes for each function and capability, users can develop applications as if they were creating a flowchart. Additionally, these platforms typically include tools for experimentation, prototyping, testing, and deployment.

With these technologies, professional developers could complete tasks two to three times more quickly than they could with conventional developer tools. In addition to decreasing friction, low-code technologies let business users and developers concentrate on their areas of expertise.

Hyperautomation and LCNC Platforms

Hyperautomation is an emerging trend that complements the capabilities of low-code and no-code (LCNC) platforms. Hyperautomation refers to the combination of various technologies, including artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and process mining, to automate and optimize business processes end-to-end.

LCNC platforms play a crucial role in enabling hyperautomation by providing the visual development interfaces and automation capabilities needed to build and deploy automated processes. With LCNC platforms, organizations can quickly create and modify applications that incorporate hyperautomation technologies, allowing for more efficient and streamlined operations.

By leveraging hyperautomation with LCNC platforms, businesses can achieve the following benefits:

Enhanced process efficiency:

Hyperautomation enables the automation of repetitive and manual tasks, resulting in increased process efficiency and productivity. LCNC platforms allow users to design and implement automated workflows that seamlessly integrate with various systems and data sources.

Improved decision-making:

Hyperautomation leverages AI and ML capabilities to analyze large amounts of data and provide actionable insights. LCNC platforms enable the integration of AI and ML algorithms into applications, empowering organizations to make data-driven decisions and optimize their business processes.

Accelerated innovation:

LCNC platforms, combined with hyperautomation, empower citizen developers and business users to innovate and experiment with new ideas. The intuitive visual interfaces and drag-and-drop features of LCNC platforms make it easier for non-technical users to prototype and test new applications, driving faster innovation cycles.

Scalability and flexibility:

Hyperautomation allows organizations to scale their automation efforts as needed, adapting to changing business requirements. LCNC platforms provide the flexibility to modify and expand applications without extensive coding, making it easier to accommodate evolving business needs.

In summary, hyperautomation and LCNC platforms are closely aligned, as they both aim to automate and optimize business processes. By leveraging the visual development interfaces and automation capabilities of LCNC platforms, businesses can embrace hyperautomation to drive efficiency, innovation, and scalability in their operations.

How Do Low Code No Code (LCNC) Platforms Work?

The objective of low code no code application platforms is to enable business teams with little to no coding or technical knowledge to create and deliver apps. A cloud-based LCNC platform enables both expert developers and amateur developers to build applications with little to no coding. This entails that business teams inside organizations can autonomously develop applications without requiring the assistance of or relying upon the technical teams, who may already be occupied with addressing a backlog of product features and issues that are continuously coming in from the field.

The Future of LCNC Platforms in 2023

In 2023, we can expect to see a continued growth in the use of LCNC platforms, as they allow businesses to quickly and easily create custom applications that meet their unique needs. Additionally, we will see more and more companies adopting these platforms to streamline their operations and automate their processes, leading to increased efficiency and cost savings.

One of the key benefits of LCNC platforms is that they allow non-technical users to create and modify applications, which opens up new opportunities for innovation and collaboration. With these platforms, businesses can empower their employees to develop their own applications and tools, which can lead to increased productivity and better customer service.

Another trend we will see in 2023 is the integration of hyperautomation capabilities into LCNC platforms. Hyperautomation, which combines AI, ML, RPA, and process mining, allows organizations to automate and optimize their business processes end-to-end. LCNC platforms will play a crucial role in enabling hyperautomation by providing the visual development interfaces and automation capabilities needed to build and deploy automated processes.

In addition to these trends, LCNC platforms are also becoming increasingly integrated with other technologies such as AI, IoT, and blockchain. As these technologies become more prevalent, LCNC platforms will be used to create applications that can take advantage of these technologies, which will lead to new business opportunities and increased efficiency.

Overall, LCNC platforms, in conjunction with hyperautomation and other emerging technologies, will continue to be an important tool for businesses in 2023 and beyond. These platforms enable organizations to accelerate their digital transformation, drive innovation, and achieve operational excellence.

Top 3 Differences Between Low Code Vs. No Code Development Platforms:

  1. Application integration:
    Depending on the type of app, you may need to combine data from many platforms. No-code platforms typically fall short while low-code development platforms frequently offer outstanding system integration flexibility. Because the creation of applications without proper control or scrutiny could result in shadow IT. Possible effects include security risks, regulatory difficulties, integration problems, applications that use more resources than necessary, and escalating technical debt.
  2. Training requirements:
    No prior technical knowledge is necessary for anyone to use no-code development platforms. However, low-code platforms are only suitable for people who are familiar with programming because they offer customization and feature more complicated tools. Therefore, there is potential for employee low-code training.
  3. Resulting apps:
    Business apps for internal use can be developed using both low code and no code development platforms. On the other hand, low-code platforms make it possible to develop popular apps that support critical business processes. No-code development environments are perfect for creating applications that solve simple business issues on their own.

Low Code Vs. No Code Development Platforms Quick Comparison: 

Features Low Code No Code
Primary users Citizen Developers Business Users
Main Objective Rapid Application Development tool for better business growth Self-service application development platform for business users
Coding Low level of coding needed No coding required
Customization Complete customization possible Only the pre-built templates can be customised
App Complexity Create complex apps Create only simple apps
Platform Lock-in Freedom to
switch between platforms		 Locked into one platform in some cases
End-to-end Development Yes Only some platforms offer this capability
Cost Effectiveness Very economical for companies with a team of developers Cost-effective for businesses struggling with lack of adequate resources [IT/developers] & high volume of requirements.

 

Benefits of Low code No code App Development Platforms: 

Using a LCNC [low-code or no-code] strategy, business teams or clients can create their own applications. Many firms are emphasizing the digital transformation of regular operations and procedures utilizing low-code/no-code solutions because of the lower cost and lower technical hurdles to entry.  The rising popularity of low-code and no-code development might be a boon for the industry, with numerous advantages for both developers and companies.

Benefits of (LCNC) Low code no code Platforms

Top Five Reasons For Selecting Low-Code No Code Solutions:

  1. Businesses must wait a long time to recruit additional developers or their existing developers are overworked and stressed about project completion time. Low-code platforms close this gap and give organizations the resources they need to meet commercial objectives.
  2. LCNC involves either on-premises or cloud deployment, allowing for quick and easy availability of applications to end users. LCAP [Low code application development] is reasonably simple for organizations to deploy because of its self-service approach and straightforward service provisioning.
  3. Low code application development offers a variety of connections with other systems, data sources, and SaaS products, allowing developers to take advantage of these product features.
  4. Cloud apps also support the strictest levels of security and compliance, which are especially important for banking, insurance, and other financial services organizations.
  5. Low code No code app development platforms facilitate the delivery of multi-experience, online, and mobile apps seamlessly.

LCNC platforms use cases:

Low code platform:

Business process management platforms, website, and mobile app development, cross-departmental tools like appraisal management software, integration with external plugins, and cloud-based next-gen technologies, such as machine-learning libraries, robotic process automation, and legacy app modernization, are examples of applications that lend themselves to low-code development.

Related article: What is Low-Code Automation? Everything You Need to Know

No Code platform:

Self-service apps for business users, dashboards, mobile and web apps, content management systems, and data pipeline builders are a few examples of applications that can be developed without writing any code. No-code is used in calendar planning applications, facilities management tools, and BI reporting apps with customizable columns and filters because it is easy to construct standalone apps, has clear UIs, and is simple to automate.

B2C mobile app – Developing and subsequently maintaining a B2C mobile app is no longer dependent on a team of IT experts or coders. With low code no code platforms, people can develop a cross-platform mobile app, that includes rich UI and features for the users

Web-based customer portal – Self-service websites will help ease the load on customer support teams. On a website created using Low code, users can obtain the quote for a product or service directly via the website instead of depending on someone to reach out to them. It saves time and effort while boosting customer engagement and building relationships.

Omnichannel endpoints for core systems – Gathering data from several sources and structuring the same is a complicated process. Low code no code platforms help solve this challenge by providing solutions that can structure data from across sources with ease through automation and streamlining the process. This in turn enhances overall operation efficiency while optimizing cost. 

Related article: A Complete Overview of Intelligent Automation

Choosing the right LCNC platform for your business:

A low code development platform should have specialized tools, built-in collaboration, and a cloud-native architecture to support a variety of developers inside an organization.

The requirement for coding expertise is diminished by low code platforms, which use a visual, model-driven approach. They also change how lines of business collaborate with IT development teams to create applications.

Here are a few points to keep in mind when choosing the LCNC platform –

  • Assess the current requirements and challenges you have in your organization and how low code can help address them.
  • With your business objectives as the main focus, communicate the exact requirements to the low code no code platform.
  • Evaluate the various features provided by the platform with reference to your requirements 
  • Create a list of all possible vendors and do a thorough analysis. 
  • Pick the LCNC platform that offers features combined with overall value for your organization. 

Autonom8 offers a low-code platform that streamlines procedures to increase productivity and efficiency in enterprises while enabling your teams to create custom applications with several automated workflows. Business users and developers can develop apps visually with Autonom8’s Low Code platform. Built-in components deliver information in an understandable format. The pre-configured modules and functionalities serve as the framework for numerous apps thanks to their similar functions. Similarly, the use of the built-in components by the visual modeling tools enables developers and business experts to create applications quickly.

Interestingly, according to a report by Expert Market Research the low code development platform market is anticipated to grow at a CAGR of 25.26 percent from 2022 to 2027 and reach a cap of USD 64.56 billion by 2026. If you are looking for someone to help you with accelerating your transformation journey using low code no code, reach out to us today! 

 

FAQs on LCNC Platforms

What is LCNC?

Enterprise developers and citizen developers can create mobile or web apps by dragging and dropping application components into low code no code development platforms, connecting them together, and adding code as needed.

What is a low-code example?

Squarespace and WordPress are good examples of low code platforms. They all have low code building tools that enable the creation of highly customizable websites or user interfaces.

Is LCNC the future of software development?

By reducing the learning curve and improving the speed, ease, accessibility, and effortlessness of software creation, low-code/no-code platforms are transforming the software business. According to a recent Forrester analysis, the low-code market is expected to grow at a rate of 40% annually, with spending expected to reach a staggering $21.2 billion by 2022.

Why is low-code better than no code?

While both platforms offer a range of benefits to the business, low code stands out with its open system feature. Thai translates to better flexibility and reusability. Users can build unique data source connections and plugins to suit their use cases and reuse them later. And the fact that the IT department is involved helps businesses stay in control and achieve better governance.

What is the difference between low-code and no-code?

There is one primary difference between low code and no code. Low-code platforms aim to enable the development of a very broad range of software solutions, but some coding is still necessary. Coding is a vital step in the development process to give the developer the control they require. However, no code platforms remove all of the technological specifics. This makes no-code platforms significantly simpler and quicker to use, even though they are relevant for only somewhat fewer use-cases.

How to Automate the KYC process with Autonom8’s Low-code Platform

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Large financial firms spend a reported $150 million on KYC-related techniques, while their average number of KYC compliance experts has skyrocketed to 307. Online banking and payment services’ quick rise has added a layer of complexity to KYC tasks, making validating identities and combating money laundering more demanding than ever.

What is KYC?

Businesses that come under the regulated sector need to comply with Anti Money Laundering (AML) regulations. To enforce these regulations, businesses follow a Know Your Customer (KYC) process that includes onboarding and regular reviews. This regulatory requirement is present in all banks, insurance, and financial companies. KYC consists of identifying the customer, customer verification, risk tolerance assessment, and ascertaining financial frauds and AML lists.

When a customer wants to register in your business or create a bank account, they have to provide their information. This provided information is then verified against various public record databases and watchlists. AML and Customer Due Diligence (CDD) should be followed to check the customer’s information and monitor their financial activities. This process is carried out to prevent the illegal usage of money like money laundering, terrorism funding, identity theft, and various other fraudulent financial transactions using your bank or financial institutions.

If your bank or money lending organization doesn’t follow the mandatory KYC identity checks for terrorism financing and money laundering by not regularly checking the KYC compliance and customer verification, severe penalties and restrictions will be imposed on your banks. Such penalty costs are usually huge and the trust and reputation of your bank will be tarnished leading to business loss.

Related Article: 7 Key Benefits of Low-code Platforms for Enterprises

What is a KYC Process?

For a KYC process to complete successfully, your customer must provide address proof and ID proof. ID proof can be any government-issued documents like a PAN card, Aadhar card, Voter’s ID, Driver’s License, Passport, or a copy of their passbook. Now, for the address proof they can submit their recent electricity bill, landline or broadband bill, ration card, Aadhar card, voter’s ID, driver’s license, current passbook, or rental agreement. KYC process can be divided into five basic steps –

  • Collecting Information – To create an account with your bank or business, your customer’s personal information should be collected. It can be done either by personally meeting them or virtually. You will need to collect their ID and address proofs such as a pan card, Aadhar card, or voter’s ID, current financial documents like a passbook or bank statements or debit/credit cards, and proof of residence and workplace documents. This information is then passed on to your banking or financial institution’s staff, where they perform a risk assessment check.
  • Checking Documents – After collecting your customer’s data, it needs to be checked and validated. The data from your customer’s documents can be extracted via Artificial Intelligence (AI). The extracted data will be checked against the information provided by your customer. If any discrepancies occur, then the application will be rejected. Another process that involves verifying your customer’s identities involves verifying their identity via video or digital signature. Sometimes, if the picture isn’t clear, your staff may ask your customer for a current picture to better determine your customer’s identity. Digital signatures involve a two-factor authentication, which will enhance your bank’s security.
  • Validating Information – This step determines whether your customer has any previous link to money laundering or terrorism funding or more. Your customer’s information is checked against AML and other necessary regulated lists. According to a report in Business Insider, financial institutions such as banks and money lending companies have received up to $36 billion as fines for failure to adhering mandatory regulatory compliances such as AML, sanction regulations, and KYC. So, failure to check and validate your customer’s information might lead to hefty fines, thereby leading to distrust among your customers and partners.
  • Remediation – This is an important process for banks and financial organizations. This process involves checking and updating your customer’s information. Your client’s data is optimized to ensure regulatory compliance. Change of address, mobile number, updating your customer’s age, and performing other periodic reviews (quarterly, monthly, half-yearly, and annually) are included in the remediation process.
  • Approval – After collecting, validating, correcting, and submitting your customer’s data, you will have to accept or reject your potential customers based on their answers and background check. The potential customer is onboarded if there was no irregularity in the KYC process.

Now, this KYC process can be done in two channels. Your customer can choose to do it either offline or online.

In the offline channel, your customer will travel to your bank and fill in a physical application with their signature and photo. The application is submitted along with copies of their paperwork. Submitting a KYC via an offline channel is a traditional process that heavily relies on your bank staff to perform tedious tasks like data entry, sorting the data, verification, rectifying the errors, and approvals. As this manual process utilizes human work, this process takes up time and effort. This greatly increases the onboarding time of your customers, adherence to regulatory compliance, and costs that rectify manual errors.

In an online channel, your customer can upload their documents and furnish their information via an online form. The information and documents are then verified through manual staff. They will then relay to the customer the status of their application.

Related article: 11 Important Banking Processes to Automate with Workflow Management Software in 2022

Hyperautomation in KYC Process:

Hyperautomation refers to the use of advanced technologies, such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and natural language processing (NLP), to automate and optimize complex business processes. The KYC process can greatly benefit from hyperautomation, as it involves numerous data-intensive tasks and compliance requirements.

By implementing hyperautomation in the KYC process, financial firms can achieve the following benefits:

Increased Efficiency:

Hyperautomation streamlines and automates manual tasks, reducing the need for human intervention. This results in faster processing times and improved operational efficiency. For example, AI-powered algorithms can extract data from customer documents, eliminating the need for manual data entry and speeding up the verification process.

Enhanced Accuracy:

Hyperautomation technologies, such as AI and ML, can analyze and validate customer information with a high degree of accuracy. They can detect anomalies, inconsistencies, and potential fraudulent activities more effectively than manual methods, reducing the risk of errors and compliance breaches.

Improved Compliance:

KYC regulations require financial institutions to ensure compliance with AML and other regulatory requirements. Hyperautomation can help in automating compliance checks by cross-referencing customer data against AML lists and other regulatory databases. This ensures that the KYC process remains robust and up to date with the latest regulations.

Cost Savings:

Automating the KYC process through hyperautomation reduces the reliance on manual labor, leading to significant cost savings for financial firms. It eliminates the need for hiring and training a large number of compliance experts, thereby reducing operational expenses.

Faster Onboarding:

Hyperautomation accelerates the customer onboarding process by automating repetitive tasks and minimizing manual intervention. This results in a smoother and quicker onboarding experience for customers, increasing satisfaction and reducing the risk of losing potential customers.

Enhanced Data Security:

Hyperautomation solutions can incorporate advanced security measures, such as secure data encryption, access controls, and tamper detection mechanisms, to safeguard customer data throughout the KYC process. This helps protect sensitive information and ensures compliance with data privacy regulations.

Incorporating a hyperautomation solution, such as Autonom8’s low-code platform, can revolutionize the KYC process for financial firms. The combination of AI, ML, and workflow automation can streamline data collection, document verification, risk assessment, and compliance checks, making the process more efficient, accurate, and secure.

By leveraging hyperautomation, financial firms can reduce the time and effort required for KYC processes, mitigate compliance risks, and provide a seamless onboarding experience for their customers.

Automating the KYC Process with Autonom8’s Low-code Platform

All banks and financial organizations require gathering and sorting data that have been collected from their customers. This labor-intensive process has higher chances of human errors and remediation costs. Sometimes, it can take up to a month to complete the KYC compliance and onboard your customers. As this is a time-consuming process, customers usually have to contact their banking institutions multiple times to complete their onboarding process. This slow nature of the customer onboarding process might lose you your prospective customers. A study has revealed that, in Europe, banks have lost up to 52% of potential customers during the onboarding stage.

Due to the competitive nature of the financial sector, banking and other financial institutions have started to use automation solutions to digitally transform their business. At Autonom8, we use machine learning and Natural Language Processing (NLP) to better understand our client’s processes and provide them with an agile and flexible solution. Some of the key features of our low code platform are listed below – 

Drag-and-drop functionality

Drag-and-drop feature is used to create applications that will run seamlessly on windows, android, and iOS. It is an application development tool that allows developers or business users to create apps. It has various deployment, debugging, and built-in simulation tools that help developers to build the app without having to write a line of code. With this feature, you won’t need a development team giving you 100% control over your idea. You can set your own deadlines and meet them at your own pace. As they are easier to learn and navigate, even people with little technical knowledge can use the drag-and-drop functionality to build their app.

Visual programming platform

Visually define the UIs, data models, and workflows using the visual programming platform at Autonom8. Our A8Flow technology allows you to create workflows that run seamlessly for your organization. While developing an application, you can even customize every action in your workflow. This graphical representation of your company’s processes will be depicted in the form of maps, graphs, or charts. You can integrate your workflow across multiple customer channels as well. Your common business workflows can be activated instantly and deployed on the cloud quickly without having to write a single line of code. 

Secure mask technology

Don’t worry about having your or customers’ sensitive data exposed. Autonom8’s specialized secure mask technology will secure your customers’ documents. Our Fine Grained Control feature will mask every individual customer’s data on a field level. It is then sectioned between the fields based on sensitivity and business needs. If any tampering has been done to the image via hacking or unauthorized internal user, then our Tamper Detection component in the A8Flow will identify the changed image and alert the organization. Your data will be encrypted using an SM gateway and stored in a secured enterprise server. Only people with rights-based access can access the stored encrypted data. 

As financial organizations such as banks and money lending firms usually take up to weeks to complete their KYC process, they spend up to 40% of their time handling the customer onboarding process. Our A8 video KYC has automated the entire KYC process and minimized that time to just 5 – 10 minutes, which will greatly benefit your organization and also improve customer satisfaction. As per RBI guidelines dated 8 January 2020, Autonom8’s video KYC solution is an officially approved method for the KYC process.

Our KYC automation solution is created using artificial intelligence and comprises face-matching tools, geolocation verification systems, and document verification tools. The facial recognition feature will match your customer’s current photo against the photo provided in their IDs to ensure no identity theft is being committed. The geo and time stamping feature will confirm the location of your customer. This increases the data security and is adhered to regulatory compliance. You don’t have to use a manual staff to collect your customer’s data. Our complete contactless KYC verification at Autonom8 will protect your customer’s safety during these trying times.

Incorporating the automated video KYC process in your financial organization will reduce your overall costs by up to 90%. As every person has a smartphone with them, this hassle-free KYC process can reach a diverse consumer base. Our automation process will automatically store your customers’ data for future audits. You won’t have to collect them again. Implementing our specialized video KYC process in your financial organization will increase your onboarding rate, as your potential customers won’t have to wait for a longer time.

We at Autonom8 believe that digitally transforming your business by automating processes like customer onboarding can create a massive impact on your organization in terms of cost reduction, employee retention, and customer satisfaction. Our AI and machine learning technology will efficiently notify you and solve any mishap that might occur automatically, thereby eliminating the need for human supervision and reducing the cost to your organization.

Are you interested in experiencing low-code automation solutions for your banking KYC process? Contact us and schedule a demo with us now.

FAQs on KYC process

What is KYC?

Businesses that come under the regulated sector need to comply with Anti Money Laundering (AML) regulations. To enforce these regulations, businesses follow a Know Your Customer (KYC) process that includes onboarding and regular reviews. This regulatory requirement is present in all banks, insurance, and financial companies. KYC consists of identifying the customer, customer verification, risk tolerance assessment, and ascertaining financial frauds and AML lists.

Can we automate KYC of banking customers?

Yes, KYC process automation provides customers with a smooth experience by eliminating the recurring back-and-forths between customers and the bank when further information is required. With an automatic process, customers can get an easy and fast accreditation or identification experience, resulting in quicker account opening.

What is AML and KYC in banking?

KYC/AML/CFT guidelines aim to stop banks from being used, intentionally or unintentionally, by prohibited elements for money laundering or terrorist financing activities.

How Banks Can Enhance Customer Experience with Low-code Automation

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The success of a business greatly depends upon its relationship with its customers. Enhancing the experiences of customers and satisfying their needs is important for healthy business growth. This can be achieved by the involvement of low-code and hyperautomation in financial organizations. To stay ahead of competitors, it has become important to adopt new methods such as hyperautomation. Most businesses employ 24hr customer care, digitalization of their processes, and hyperautomation to better help their customers. It allows their products to reach their customers, which makes them achieve their targets with less effort.

Now, Low code platforms in banking institutions work by simplifying tedious and complex processes. It lets the banks complete complex tasks and create customer-oriented apps within less time span. This low code method is not just confined to the developers, business users can also use this method to create applications as per their needs. As it doesn’t need a traditional coding method, financial institutions can create their apps easily in a small period of time. Therefore, providing your customers with the best experience on time will greatly improve your business. 

What is low-code?

Low-code development simplifies the complex command codes and the requirements that are needed to build applications. It provides an easy drag and drop functionality. You don’t have to type in lines of code. This feature makes it accessible to everyone and the application development can be completed sooner. Low-code comes with pre-existing features or building tools that let you create an application the way you want. The applications can also be run across multiple platforms. This software development approach creates apps where the processes are automated, which can be managed effectively with little effort.

How Does Low Code Work?

Autonom8’s Low code allows the business users and developers to create apps visually. Information is offered in a readable format as built-in components. Its pre-configured modules and features have common functions that act as a base for several apps. The visual modeling tools utilize the built-in components which allow the business professionals and the developers to develop an application easily. So, they can be reused to develop different apps faster. Based on a report by Expert Market Research, the low-code development platform market is expected to grow at a CAGR of 25.26% from 2022-2027 to reach a cap of USD 64.56 billion by 2026.

Low code automation and hyperautomation accelerates your company’s digital transformation and improves your customer experience. The key aspect of low code is to make app development feasible even for people with zero to minimal knowledge to build apps. This creates transparency and paves the way for innovation. It not only acts as a technological upgrade but also transforms the complete banking experience favorably by prioritizing customer experience, automating all legacy and tedious processes, and inspiring innovation. The important feature of a low-code platform is its scalability. It can handle and accommodate a huge number of users as your company expands. You can add more users and assign tasks and job roles to them.

Related article: Build Mobile Banking Apps Fast and Right with Autonom8

Customer Engagement Model

In this rising digital economy era, customer experiences have become important for a business to be successful. They don’t just deal with a business from a single portal. Mobile applications, chat, phone, email, websites, forms, and other domains are being used by the customers in their digital journey. Customers want their banking experience to be something like buying a product off Amazon – They want it to be easy to use and self-serving.  

Forrester says that 90% of IT leaders have found that the flexible design of low-code platforms helps to significantly improve customer experience compared to traditional development platforms. Most banking firms still need a broader framework to know their customer’s history and preferences. Banking institutions must take charge and engage with the customers wherever they are. It has been noted that there is an inclination towards chat and messaging from traditional apps, emails, and calls.

As you can build an engaging customer experience in banking simply by using reusable components in low-code and leveraging hyperautomation, this low-code development of banking applications has become the most sensible choice. This leads to customers experiencing lesser delivery time, targeted user feedback, better interaction, and real-time updates, which gravitate them towards banking firms that provide a better consumer experience.

Benefits of Low Code and Hyperautomation in Customer Experience

Despite providing autonomous capability and solving integration obstacles, low-code and hyperautomation also offer various benefits in customer experience.

Artificial Intelligence

Incorporating low-code and hyperautomation in your banking process will simplify your tedious and complex tasks. Your process gets automated, and AI will recommend suitable ways to enhance your customer interactions, resulting in hyperpersonalized experiences.

Helps Business Professionals

Due to the pandemic and ever-changing socio-economic situations, there has been a shortage of employment, especially in customer-oriented fields. This has created a backlog in customer-related work in many companies. Introducing low-code and hyperautomation will greatly help business professionals in automating various processes and minimizing their workloads. They can focus on higher-value tasks and provide personalized attention to customers.

Reusable Codes

With low-code and hyperautomation, you can create a single app that can be accessed across multiple platforms. Your developers don’t have to write huge chunks of code every time they create or modify the app. These reusable codes act as a foundation for the apps that you want to develop. They can be altered depending on customer requirements whenever needed. This allows for faster development cycles and efficient customization.

Business Intelligence

AI tools like chatbots can understand and collect information from customers. This actionable data, also known as business intelligence, lets businesses analyze and provide insights into customers’ wants and needs. This acts as decision-makers for banking firms to better enhance their customer experience and make data-driven improvements.

Lessens Customer Support Duration

As low-code and hyperautomation allow independence, customers can solve their queries with the help of pre-existing conditions or answers. This greatly reduces the time for customers and support agents. Users of banking apps that utilize low-code and hyperautomation can avoid unnecessary human interaction, resulting in faster query resolution and cost savings for the bank.

Enhances Digital Competency

The prebuilt components in low code that emphasize customer management will boost the overall digital competency. As more and more businesses are shifting to low code and hyperautomation, the usage of electronic media for the betterment of a company’s growth has become critical. It enables businesses to keep pace with digital trends and provide cutting-edge solutions to customers.

Brand Consistency

Almost all the low code platforms offer custom CSS, HTML and so on. They provide the ability to configure templates to the companies’ standards. The toolkits and design standards present are used by the developers to establish brand consistency. Various components like progress bars, dashboard, and carousels templates are already available and can be reused. 

Related article: Increase Banking CSAT with Conversational AI Chatbots in 2023

Managing Customer Experience Issues

Developing an application with low-code and hyperautomation means sacrificing some developer control. However, this loss in control is compensated by the speed at which the app is developed and the automation capabilities that come with it. Since low-code and hyperautomation involve minimal coding, development teams may need to focus on ensuring compliance with development environment standards and regulations to maintain control while benefiting from the speed and efficiency of the low-code approach.

Low-code and hyperautomation have become crucial in building software for institutions globally. They help in building scalable applications to digitize and attain agility and speed. Autonom8’s remarkable experience in delivering workflow automation in the financial industry will create, develop, and launch enterprise solutions efficiently. We will help you achieve cutting-edge enterprise application development by harnessing the power of low-code and hyperautomation.

Autonom8’s enterprise-grade low-code automation platform will automate even your most complex processes. Our visual low-code builder simplifies and streamlines workflow development with minimal effort. By leveraging hyperautomation, we enable intelligent decision-making and process optimization to enhance your customer experience. Want to know more about low-code and hyperautomation? Schedule a demo with us now. Our team at Autonom8 will work with you every step of the way and help you achieve your digital transformation journey.

 

How to Automate KYC and AML Processes with Low-code Systems

Posted on by atnm8master

According to a 2011 UN study, criminal proceeds from drug trafficking and organized crime amounted to 3.6% of global GDP, and 2.7% (~$1.6 trillion) of this money was laundered. The FATF regulations were established in 1989 to counter money laundering and coordinate an international response.

Low-code platforms enable the acceleration of a business’s digital transformation by enabling the quick creation of apps for various business needs for the implementation of process automation. Low-code also allows businesses to adapt and evolve with evolving business needs and regulatory requirements. More and more businesses are adopting low-code development platforms to build custom applications. A study forecasts that the market size for low-code platforms, which stood at $4.32 billion in 2017, will grow to $27.23 billion by 2022 – a CAGR of 44.49%.

The emergence of hyperautomation, a key component of digital transformation, further enhances the capabilities of low-code platforms. Hyperautomation combines artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and other technologies to automate and optimize business processes across the organization. By leveraging hyperautomation, businesses can achieve higher levels of efficiency, accuracy, and scalability in their operations.

The role of KYC and AML in financial services

The role of hyperautomation in KYC and AML processes is crucial for financial services institutions. Intense competition in the industry necessitates the delivery of a differentiated customer experience, while complying with stringent regulatory requirements. Hyperautomation enables financial institutions to streamline and automate their KYC and AML workflows, leading to improved operational efficiency and reduced costs.

With hyperautomation, the onboarding process for new customers can be accelerated through the use of AI and ML technologies. These technologies can analyze and verify customer information more quickly and accurately, reducing the time-to-revenue and enhancing the overall customer experience. Hyperautomation also enables continuous monitoring of customer transactions and risk assessment, helping to detect and prevent money laundering activities in real-time.

KYC and AML in different industries and their challenges

Regulators insist on strict compliance with KYC and AML regulations to maintain secure operations in financial institutions. The challenges of AML and KYC compliance in different industries are enumerated below.

Banking

In the banking industry, hyperautomation addresses the challenges faced in KYC compliance. By automating the investigation processes and leveraging analytical approaches for customer risk assessment and transaction monitoring, banks can minimize false positives and ensure more effective AML compliance. Hyperautomation also helps banks integrate disparate systems and eliminate manual tasks, improving data accuracy and overall efficiency.  

Typically, banks face four major challenges in KYC compliance:

  • Extended time-to-revenue due to lengthy customer onboarding. Banks now use KYC automation to leverage AI/ML technologies to speed up the process.
  • Cost of large compliance teams to monitor ongoing issues and clear remediation backlogs.
  • Friction in the onboarding process leads to poor customer experience.
  • Hefty AML fines levied for non-compliance with AML regulations.
  • KYC software can integrate disconnected systems and replace inefficient manual processes to help deliver frictionless client onboarding and strong compliance.

The challenges in complying with AML regulations include:

  • Complex and tedious bank processes for investigation.
  • Inaccurate and incomplete client information.
  • Analytical approaches to customer risk assessment and transaction monitoring lead to high rates of false positives.
  • The proliferation of new banking products/services complicates real-time detection and prevention.

Capital Markets

Capital markets also benefit from hyperautomation in their KYC and AML processes. The complex nature of client relationships and transactions in the capital markets requires advanced monitoring and reporting capabilities. Hyperautomation enables comprehensive AML screening and monitoring of all customers, while also managing counterparty risk and complying with legislative requirements.Key AML and KYC challenges for capital markets include:

  • Compliance with broker-dealer monitoring requirements.
  • Delivery versus payment(DVP) and receive versus payment(RVP) requirements.
  • Post-trade reporting.
  • Complying with legislative requirements (example: MiFID II in the EU).
  • Managing counterparty risk. 

AML software enables comprehensive and ongoing AML screening of all customers to instantly raise an alert on any changes in the risk profile.

Insurance

Insurance companies leverage hyperautomation to meet their industry-specific KYC and AML regulations. The stringent customer acceptance policies and lengthy identification procedures can be streamlined through automation, reducing manual effort and enhancing compliance. Hyperautomation facilitates diligent monitoring of client transactions and effective risk assessment, enabling insurance firms to mitigate the risks associated with money laundering and financial fraud.

The KYC and AML challenges for the insurance sector include:

  • Stringent customer acceptance policies.
  • Lengthy customer identification procedures.
  • Diligent monitoring requirements for client transactions.
  • Assessing and managing risk.

Retail

Retail businesses, both traditional and online, can benefit from hyperautomation in their KYC and AML processes. By automating the verification of business data and registration documents of multiple business counterparties, retail businesses can ensure transparency in their relationships and reduce the risk of fraudulent activities. Hyperautomation also aids in screening global watchlists and raising alerts on suspicious activity, helping to maintain a risk-free customer portfolio. The KYC/AML challenges for the retail industry include:

  • Verification of business data and registration documents of multiple business counterparties.
  • Background AML screening by examining global watchlists, sanctioned entities by local government/international enforcement agencies. Anti-money laundering software can help ease this process and raise alerts on suspicious activity.
  • Verification/screening of the ultimate beneficiary.

Public Sector

The public sector utilizes hyperautomation to protect against money laundering activities associated with criminal proceeds. By automating AML and fraud detection processes, hyperautomation accelerates the identification of suspicious transactions and enables the generation of suspicious transaction reports. This contributes to maintaining the integrity and stability of the international financial system, ultimately helping to combat crime.

How can low-code systems automate KYC and AML processes?

Low-code applications are built using visual processes, enabling easy collaboration between the end-users and the application developers. Also, low-code does not require a data migration to a new proprietary data model. Data can be accessed in its current format and brought onto the platform for users and AI to run processes to complete tasks. 

Detecting financial crimes involves monitoring sanctioned screenings, examining suspicious activity reports, alerts from detection engines for transactions/processing, and customer risk assessments.

These connected processes can be managed efficiently only if they are all on the same platform. Elements built for a particular application – for example, suspicious activity reporting – can be used on any project in the organization. The organization can derive greater business value through collaborative functioning. 

A low-code platform can transform the KYC and AML processes by:

  • Enabling the quick design of applications to manage KYC workflows.
  • Help identify portions of the KYC workflow that can be eliminated or improved.
  • Automation of processes with AI/ML, RPA, BPM, IDP, and other technologies. 
  • Low-code automation platforms can be used in the cloud, on-premise, or hybrid mode – providing businesses with flexibility in planning their deployment model.

Hyperautomation, the use of advanced technologies like artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and business process management (BPM), plays a crucial role in enhancing the automation capabilities of low-code systems. Hyperautomation enables the intelligent automation of complex KYC and AML processes, making them faster, more accurate, and efficient.

By leveraging AI and ML algorithms, hyperautomation can analyze large volumes of data to detect patterns, anomalies, and potential money laundering activities. It can automate the screening of customer information against global watchlists and identify suspicious transactions in real-time, reducing the reliance on manual efforts and improving the accuracy of risk assessments.

Furthermore, hyperautomation can integrate with existing systems and data sources, enabling seamless data exchange and eliminating the need for manual data entry and reconciliation. It can also automate the generation of reports and documentation required for compliance purposes, ensuring consistent and auditable processes.

With hyperautomation, organizations can achieve end-to-end automation of their KYC and AML processes, from customer onboarding to ongoing monitoring and risk assessment. This not only improves operational efficiency but also strengthens compliance efforts, reduces the risk of financial crimes, and enhances the overall customer experience.

summary

Hyperautomation, when combined with low-code platforms, empowers financial institutions and other industries to automate and streamline their KYC and AML processes, mitigating risks, improving compliance, and delivering a superior customer experience.

We can help!

The competitive nature of the banking sector enjoins the banks to deliver a world-class customer experience. The first step in achieving this is the automation of banking workflow processes. 

Autonom8’s workflow automation solution for banks and other industries is nimble and enhances operational efficiency, enables compliance, and helps gain a greater understanding of client needs for delivering a superior customer experience. 

You can build your end-to-end customer workflows visually – on our A8Flow platform. Click here to schedule a demo.

 

Frequently Asked Questions

What is KYC, and how does it work?

KYC is the process for financial services firms to verify the client’s identity. The firms are required, by law, to comply with KYC requirements. Although applicable for most businesses, KYC regulations are especially stringent for firms in financial services, banking, and other allied businesses such as insurance, equities trading, etc.

The KYC system requires clients to prove their identity with legally admissible evidence. Verifying the client’s identity is undertaken to prevent the possibility of having business relations with clients who might be corrupt, money launderers, etc.

What is AML, and how does its work?

AML regulations comprise the set of laws, regulations, and procedures to prevent criminals from disguising in illegal ways to obtain money as legal money. The AML laws target criminal activities such as market manipulation, tax evasion, trade-in banned goods, etc. AML laws are instituted within government organizations and financial institutions to monitor and prevent fraudulent financial activity.

Financial institutions monitor customer deposits/transactions to verify that they are not a part of a money-laundering plan. Financial institutions verify the source/destination of large sums of money, report huge cash transactions, and monitor other suspicious activity. Financial institutions are also responsible for educating their clients about the AML system. The regulators ensure AML compliance by auditing financial records for suspicious transactions. Considering the complexity of AML compliance and the penalties for non-compliance, AML is a priority for every financial institution. To leverage technology and ease the process, many financial institutions utilize the services of an AML software vendor.

What is a low-code system?

A low-code system is a novel approach to software development. There is little to no coding required to build applications for business processes in Low-Code. A low-code development platform does not require the users to have coding knowledge or software development experience. Through visual interfaces and drag-and-drop functionalities, the platform allows the creation of mobile and business apps.

Low-code platforms are gaining greater adoption across industries because they facilitate a faster and easier route to software development. Skilled software developers can as easily use it as by the lay employee (citizen developers in industry parlance). Low-code platforms enable the acceleration of a business’s digital transformation by enabling the quick creation of apps for various business needs for the implementation of process automation. Low-code also allows businesses to adapt and evolve with evolving business needs and regulatory requirements. More and more businesses are adopting low-code development platforms to build custom applications.

Build Mobile Banking Apps Fast and Right with Autonom8

Posted on by atnm8master

What are banking apps?

A banking app is a mobile application that can be downloaded from Google Play Store, Apple’s App Store, and Microsoft Store. It helps in accessing your bank accounts and completing monetary transactions from the palm of your hand. Depending upon the bank, you can access and carry out a wide variety of services with the help of your banking app.

Most banking apps allow you to view your account balance, transaction history. Certain banking apps even allow you to update your information (address, mobile number and email), change your branches, request check books, loans and many more.

Why do you need to develop banking apps?

Our day-to-day lives have made developing banking apps, a necessity. It offers many benefits to both the business and consumers.

Creates Convenience:

In this fast-paced world, most people don’t have time to visit a bank, stand in a queue, talk to a cashier and initiate a transaction. People always have mobile phones with them. Therefore, having their bank’s application in their mobiles will greatly reduce the burden on the customers. No matter where you are, you can access your account without visiting your branch. This reliability and user-friendliness boost a positive customer experience.

Reduction in Cost

Mobile transactions are cheaper than transactions at banks or ATMs. They don’t charge extra costs to the customers. This greatly reduces the bank’s operating costs and the need for staff. This minimizes the cost on paper, bill delivery, utilities, supplies and more. The usage of mobile banking apps has reduced the cost to serve customers up to 50 – 70%. They also reduce any human errors that may occur.

Customer Engagement

Banking applications allow customers to access their bank accounts 24/7. This increases the quality of service and enhances customer loyalty. Implementation of push notifications can also allow customers to know about various service rates, credit cards, loans and more. Inbuilt chatbots and support increase customer engagement, thereby improving their experience. This leads to a higher retention rate of the customers.

Increase in Revenues

Creating a banking application provides the bank with an extra way of increasing their income. Many banks with mobile applications and mobile-only banks partner with cinemas, shops, restaurants, gas stations and retailers to offer discounts and cashback facilities using mutually beneficial partnerships. Automatic transactions, 24hrs service and additional services provided by the mobile applications will increase the customer’s activity which will help in collecting commissions and other extra charges. In-built chatbots can identify and direct customers’ patterns and aid them in completing a transaction. This analysis usually consists of utility payments, online purchases and loans that help the customer by offering propositions, which increases sales.

Related article: Increase Banking CSAT with Conversational AI Chatbots in 2023

Hyperautomation in Banking Apps:

With the advancement of technology, hyperautomation has emerged as a significant trend in banking apps. Hyperautomation refers to the use of advanced technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and natural language processing (NLP) to automate and streamline processes across the banking industry.

By incorporating hyperautomation into banking apps, financial institutions can achieve greater operational efficiency, improved accuracy, and enhanced customer experience. Here are some key areas where hyperautomation can make a difference:

Streamlined Account Opening:

Hyperautomation can automate the account opening process by extracting data from customer-provided documents, performing background checks, and verifying identity. This reduces manual efforts, minimizes errors, and accelerates the onboarding process for customers.

Enhanced Fraud Detection:

Hyperautomation enables advanced analytics and real-time monitoring to detect fraudulent activities and suspicious transactions. By analyzing large volumes of data and identifying patterns, the banking app can proactively identify and prevent fraud, ensuring the security of customer accounts.

Personalized Customer Experiences:

Hyperautomation allows banking apps to leverage customer data and AI algorithms to offer personalized recommendations and tailored financial products. By understanding customer preferences and behavior, the app can provide relevant offers, investment suggestions, and customized notifications.

Automated Loan Processing:

Hyperautomation can automate the loan application and approval process, making it faster and more efficient. By integrating AI-powered chatbots, customers can receive instant assistance and guidance throughout the loan application journey, reducing manual intervention.

Smart Virtual Assistants:

Integrating virtual assistants powered by AI and NLP technologies can enable customers to interact with the banking app using natural language commands. Virtual assistants can answer queries, provide account information, and assist with transactions, enhancing the overall user experience.

By embracing hyperautomation, banking apps can transform traditional banking processes into seamless digital experiences. These advancements not only benefit customers by offering convenience and efficiency but also help financial institutions stay competitive in the evolving fintech landscape.

What are the Mobile Banking Trends in 2022?

Touchless Technology

As a result of the pandemic, using touchless transactions has become an unusual standard. From small roadside vendors to big corporations, everybody uses QR code technology. This can be only possible if the customer has a mobile banking app with them. Just by logging in to the mobile application and scanning them, and performing further steps, you can do touchless transactions. This method is fast and secure which reduces the chances of card skimming and stolen PINs.

Incorporating Biometrics

Digital security is important for any mobile banking application. Implementing biometric technology has alleviated any stress that the customer may have when accessing mobile banking. Facial recognition, iris scans, fingerprint scans, and voice recognition are some of the features that biometric identification systems use. More than 56% of users trust biometric methods for banking applications.

Chatbots

Chatbots are AI-powered platforms that many banks have adapted. The need for personalized experience, data, and speed are the main reasons why banking institutions have started to use chatbots. Understanding the customers’ data and conversations with the help of chatbots provides a better customer experience. According to research, chatbots are expected to reduce business costs by up to $8 billion in 2022. It is estimated that up to 75 – 90% of banking queries will be handled by  chatbots.

Related article: How to decide on the right chatbot for your banking institution

Hyperautomation in Banking Apps in 2022:

Hyperautomation plays a crucial role in shaping mobile banking trends in 2022. By leveraging advanced technologies such as AI, ML, and RPA, banks can achieve higher levels of automation, efficiency, and customer satisfaction. Here’s how hyperautomation is influencing mobile banking trends:

Intelligent Process Automation:

Hyperautomation enables banks to automate complex processes, such as loan origination, credit scoring, and compliance checks. By combining AI and RPA, banks can automate repetitive tasks, extract data from documents, and make informed decisions faster, leading to improved operational efficiency.

Data-driven Decision Making:

With hyperautomation, banking apps can leverage AI and ML algorithms to analyze vast amounts of customer data. By uncovering patterns, trends, and customer preferences, banks can make data-driven decisions to personalize offerings, detect potential risks, and enhance customer experiences.

Enhanced Security:

Hyperautomation strengthens the security of mobile banking apps by employing biometric authentication, fraud detection algorithms, and real-time monitoring. Biometrics, such as fingerprint and facial recognition, provide an additional layer of security, reducing the risk of unauthorized access.

Predictive Analytics:

By integrating predictive analytics into banking apps, hyperautomation can help banks anticipate customer needs, predict market trends, and offer tailored financial products and services. This proactive approach enables banks to stay ahead in a competitive landscape and deliver personalized experiences.

Seamless Integration with Third-party Services:

Hyperautomation facilitates seamless integration of banking apps with third-party services, such as payment gateways, budgeting apps, and investment platforms. This integration allows customers to access a comprehensive suite of financial services within a single app, simplifying their financial management.

As mobile banking continues to evolve, hyperautomation will remain a driving force behind its transformation, enabling banks to deliver innovative solutions, improve operational efficiency, and provide superior customer experiences.

How to build a banking app?

Research and Build a Prototype

Before developing a mobile banking app, it is important to know the market trends and your competitors. Knowing what your users what and how to address them is crucial for developing a banking app. Once you identify what your users want, a prototype has to be created by implementing a structure, logic, design elements, content, and graphics. If any error occurs during the prototype phase, it can be rectified easily.

Implement Security

Any app that is developed should be enforced with security, and if it is a banking app then the security should be impregnable. This is done to protect your data and keep your money secure. Banking mobile applications use a few more layers of security. If your banking app doesn’t pass security rules, then it won’t even be published. Implementing two-factor authentication and an inactivity timer are some of the basic securities that the app developers at Autonom8 do to secure the app.

User Interface and Technology

When designing an app, it is important to choose the best tech stack that addresses all your needs. It could be a native or cross-platform tech stack. Native development needs knowledge of the platform’s framework and code. Usually, complex apps that require security and high productivity need native development. Cross-platform lets you have code shareability. It is a single codebase that lets you run on both platforms. Choosing an absolute tech stack will lower your costs, need for maintenance and also reduce the app development period. Since your customers vary from young adults to older people, the UI/UX design should be easily accessible and easy on the eyes. Your banking app can be customized as per your need at Autonom8. Our developers will heed your wishes and needs and create a useful and easy to use banking app that will address all your needs.

Coding and Integration

Your banking app can be executed with the help of an in-house developers team or you can hire a team of dedicated software developers who can take care of all the important aspects in developing a banking app. Once the app is developed, it has to be integrated with third-party apps like accounting software, expense trackers, document sign software and so on. These third-party apps will be beneficial to the users of the banking app.

Release and Maintenance

After developing your app, it has to be released in appropriate mediums. A dedicated team of software professionals can finetune your app and help you in publishing them in Microsoft Store, Google Play Store, and/or App Store. All three of these stores have different requirements that the banking apps should follow for submission and release. So, they have to be checked for adherence before publishing.

Feedback and Update

Pay attention to the reviews and feedback after publishing your banking app. Address and fix any bugs that may exist to ensure the best user experience. You can always ask influencers and area experts to try and test out your app. This will both improve and promote your app. Implementing articles, chatbot features and help columns will reduce the money spent on Support considerably.

The world of fintech is constantly evolving. Even though mobile banking will not entirely replace a traditional banking system, it provides the customers with a user-friendly and secure banking experience. Contact us today for more information on how we can build your banking mobile applications using AI technology.