Heritage Bank RPA Use Cases in Banking

automation in banking examples

Employees can also use audit trails to track various procedures and requests. Intelligent automation can automate the removal of the most common false positives while also leaving an audit trail which can be used to meet compliance. There are numerous RPA use cases in banking in addition to what is mentioned in the infographic. The list below highlights some of the most rewarding RPA use cases in the banking industry. Eleviant Tech symbolizes business transformation and reinforces our mission to help clients elevate and scale their business. The challenge of maximizing efficiency and keeping expenses as low as feasible while ensuring maximum security standards has also drastically increased.

Accounts Receivable Automation Pays Off With Increased Cash Flow – PaymentsJournal

Accounts Receivable Automation Pays Off With Increased Cash Flow.

Posted: Tue, 18 Apr 2023 07:00:00 GMT [source]

From this purview, banks can then design a strategic plan for succeeding in the future. As per Gartner, the market size for RPA solutions is estimated to reach $2.4 billion by the year 2022. Please be informed that when you click the Send button Itransition Group will process your personal data in accordance with our Privacy notice for the purpose of providing you with appropriate information. Our UiPath-certified RPA experts are ready to build and implement an RPA bot tailored to the needs of your banking institution. There are several important steps to consider before unfolding the RPA implementation process in your organization.


Despite the power of the human mind, there are many processes and analyses in which humans are not highly efficient. This is usually the case when there is a high mechanical component to the problem or when we depend on finding a pattern in large volumes of data. The technology continues to evolve rapidly, and new ideas will emerge that none of us can predict. For example, we envision a world where IA technology takes a basic set of rote steps that currently need structured data and eliminate the pre-formatting that we still need to do today. These technologies could create automation that determines its own workflow and formats its own data sets to do the work that would take days in a matter of minutes.

  • More and more organizations are turning to intelligent automation to increase productivity and reduce costs.
  • An association’s inability to act as indicated by principles of industry, regulations or its own arrangements can prompt lawful punishments.
  • Digitize your request forms and approval processes, assign assets and easily manage documents and tasks.
  • Citrix assistance is included, and it’s suitable for any size organization.
  • For instance, bots can address routine requests, while more sophisticated queries will be transferred to appropriate human specialists.
  • On the other hand, intelligent document processing (IDP) helps streamline document management.

With Kofax Robotic Process Automation, optimizing basic processes in banking is within reach. Ernst & Young has reported a 50%-70% cost reduction for these kinds of tasks, and Forbes calls it a “Gateway Drug To Digital Transformation”. When we say “RPA” in the context of banking, we mean the application of specialized software and tools to routine, rule-based, and high-volume activities. Opting for intelligent automation services organizations can extend their problem-solving potential, increase productivity and accuracy of employees, and so demonstrate superior business outcomes. In spite of this, each of these words is meant to convey the same notion and is used to achieve important business goals.

Speeding up operations

With automation, employees can spend more time focusing on the bank’s clients rather than on every box they must check. Automating the entire AML investigation process is one of the best examples of RPA in banking. RPA can easily automate these repetitive and rule-based operations, resulting in a maximum reduction in process TAT. RPA bots can automate the customer onboarding process saving time and increasing work efficiency.

automation in banking examples

To put it another way, an organization with many roles and sub-companies maintains its finances using various structures and processes. Based on the business objectives and client expectations, bringing them all into a uniform processing format may not be practicable. The central team, on the other hand, is having trouble reconciling the accounts of all the departments and sub-companies. Customers want a bank they can trust, and that means leveraging automation to prevent and protect against fraud.

Consumer Banking

Another area where business process automation has a huge impact is mortgage loan systems. The process of approving the mortgage loan used to take even 60 days before automation stepped in. Thanks to automating the checks, history, employment status, and other required documents, the processing time is significantly reduced and delivers a better customer experience. One challenge that banking and financial services companies face is processing data and analyzing it in real-time. They enable real-time data processing that reduces the overall workload and risk of human errors. In this context, intelligent cash management, trade monitoring, and risk management are now possible to accomplish without any human intervention.


With so many compliance rules, it becomes an arduous task for the banks to comply with each of them. According to a 2016 survey by Accenture, 73% of the surveyed compliance officers believed that RPA could be a key enabler in compliance within the metadialog.com next three years. So it’s essential that you provide the digital experience your customers expect. Historically, the banking system has always sought to maximize its profits, so it is inevitable that it will tap into the AI world with great force.

KYC processing:

By implementing automation tools, companies eliminate the opportunity for human errors, accelerate processes, and free up resources. Finally, RPA provides high scalability that drives businesses and expands their growth opportunities. There’s no denying that automation is at the core of the digital transformation strategies of many banks and financial services companies. But for business process automation to bring you the most benefits, you need a qualified and experienced partner to help you handle the technology part.

automation in banking examples

Artificial intelligence or machine learning are just two techniques that can be used to accomplish this. RPA’s main purpose ideal in the banking sector is to help with the processing of repetitious banking tasks. By involving consumers in real-time relations and making use of robots’ several benefits. These RPA use cases in banking will help the banking sector to boost effectiveness. RPA has been significantly acquired in this sector, for making time-consuming banking operations more systematized and automated. According to reports, RPA in the banking sector is anticipated to reach $1.12 billion by 2025.

Multi-tenant SaaS System With Intuitive Business Workflow Configuration

The rise of AI in the financial industry proves how quickly it’s changing the business landscape even in traditionally conservative areas. From robotic surgeries to virtual nursing assistants and patient monitoring, doctors employ AI to provide their patients with the best care. Image analysis and various administrative tasks, such as filing, and charting are helping to reduce the cost of expensive human labor and allows medical personnel to spend more time with the patients. For example, in the traveling industry, Artificial Intelligence helps to optimize sales and price, as well as prevent fraudulent transactions. Also, AI makes it possible to provide personalized suggestions for desired dates, routes, and costs, when we are surfing airplane or hotel booking sites planning our next summer vacation. Thus, embracing AI technologies can give financial institutions a competitive edge in today’s rapidly evolving digital landscape.

automation in banking examples

Know Your Customer (KYC) processes are obligatory and indispensable to the onboarding routine. And when it comes to compliance checkpoints and confirmation of required process steps with banking RPA—that is, the way the robots are being implemented—it’s most important to track robotic work tasks. You’ll need to map all of the systems and people to which you’re considering adding banking RPA use cases. A thorough process analysis of all front- and back-office tasks required for daily operations is essential for determining how RPA can help your bank. You’ll truly need to get down to the “grain of sand at the beach” level of detail to properly document the use cases down to the individual mouse-click.

RPA use cases in Finance Industry

At Hitachi Solutions, we specialize in helping businesses harness the power of digital transformation through the use of innovative solutions built on the Microsoft platform. We offer a suite of products designed specifically for the financial services industry, which can be tailored to meet the exact needs of your organization. We also have an experienced team that can help modernize your existing data and cloud services infrastructure. By automating complex banking workflows, such as regulatory reporting, banks can ensure end-to-end compliance coverage across all systems. By leveraging this approach to automation, banks can identify relationship details that would be otherwise overlooked at an account level and use that information to support risk mitigation.

automation in banking examples

The company also had about 50% more net income than average in the banking sector. According to McKinsey, general accounting operations have the biggest potential for automation in finance. Banks KYC and physical checks can take you anywhere from 24 hours to 7 days (Case for Kenyan Banks) for account opening. On the other hand, fintechs take you less than 10 minutes to open an account and start transacting.

Areas for Automation in the Financial and Banking Sector

Most US banks take around days to originate and finish processing a mortgage loan. Banks need to go through numerous steps including credit checks, employment verification, and inspection before approving the loan. Even a small error by either the bank or the customer could dramatically slow down the processing of a mortgage loan. It demands staff to digitize vendors’ invoices and then validate the information in each field before processing it.

How is automation used in banking?

With Robotic Process Automation, it is easy to track such accounts, send automated notifications, and schedule calls for the required document submissions. RPA can also help banks to close accounts in exceptional scenarios like customers failing to provide KYC documents.

How is AI useful in banking?

Artificial intelligence in financial services helps banks to process large volumes of data and predict the latest market trends, currencies, and stocks. Advanced machine learning techniques help evaluate market sentiments and suggest investment options.


    Dein Warenkorb
    Dein Warenkorb ist leerZum Shop