RPA in Banking: Top 10 Applications, Real-Life Examples & Implementation

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automation in banking examples

Removing this manual work from the employees increases employee satisfaction and frees up their time for more meaningful and value-adding work. Automation also improves process quality and speed as robots work tirelessly 24/7 and without making humane errors. And if anomalities occur, they can be detected faster as robots can check large amounts of data daily, which would not be possible done manually. No one knows what the future of banking automation holds, but we can make some general guesses.

  • According to reports, RPA in the banking sector is anticipated to reach $1.12 billion by 2025.
  • Automate processes such as the second line of defense for Controls Testing, customer onboarding, Customer Due Diligence, or loan processing and provide your clients with faster, more accurate client service.
  • Unfortunately, we all have busy periods and can unpremeditatedly miss the memo.
  • Importantly, Cathy is not only faster; she’s now free to focus on delivering an exceptional banking customer experience—instead of just moving data around.
  • New customers will love how quickly they can apply for an account without having to fuss with physical paperwork or tricky PDF files.
  • With UiPath, SMTB built over 500 workflow automations to streamline operations across the enterprise.

Robotic Process Automation (RPA) is a holistic approach to accounting and auditing processes that have made them more dynamic, secure, and safe. This study demonstrates the principle of robotic process automation (RPA) and how it impacts accounting processes. An analysis of the literature from previous research as well as the most recent sources was conducted to identify research gaps. The study’s results revealed the ability for RPA to automate accounting processes and the fact that robotic approaches are projected to replace accountants for a significant portion of their work.

Transaction screening automation

The ordinary banking customer now expects more, more quickly, and better results. Banks that can’t compete with those that can meet these standards will certainly struggle to stay afloat in the long run. There is a huge rise in competition between banks as a stop-gap measure, these new market entrants are prompting many financial institutions to seek partnerships and/or acquisition options.


In this article, we will use the RPA term to imply both regular and intelligent process automation. I pride myself on helping both large and small organizations automate their processes and remain more competitive in the new digital landscape. When it comes to automating your banking procedures, there are five things to keep in mind. Follow this guide to design a compliant automated banking solution from the inside out. The fundamental idea of “ABCD of computerized innovations” is to such an extent that numerous hostage banks have embraced these advances without hardly lifting a finger into their current climate.

AI and Robotic Process Automation

Identify them on your process map, prioritize based on the benefits their automation can yield, and develop and document a set of possible case scenarios of the selected workflow. After the most tedious tasks are automated, you can move at your own metadialog.com pace towards full automation. A basic rule-driven robotic process automation is limited in what it can do. Credit cards can be great revenue generators for banks, but the application must be simple to access and complete in order to work at scale.

automation in banking examples

Banks and the financial services industry can now maintain large databases with varying structures, data models, and sources. As a result, they’re better able to identify investment opportunities, spot poor investments earlier, and match investments to specific clients much more quickly than ever before. Many bank processes involve unstructured data formats (invoice PDFs, bank statements images, etc.) which machines are incapable of understanding. Businesses can benefit from document capture technologies, such as OCR, that are integrated with RPA, to automate the processing of paper-based forms. RPA can compare data from multiple systems to ensure accuracy and identify discrepancies, thereby streamlining financial reconciliation.


Banking customers want their queries resolved quickly with a touch of personalization. For that, the customers are willing to interact with automated bots and systems too. Learn how top performers achieve 8.5x ROI on their automation programs and how industry leaders are transforming their businesses to overcome global challenges and thrive with intelligent automation. RPA can be used to scan regulatory announcements for future changes, to catch changes early, or to access the latest updates as new information is released, in real-time.

automation in banking examples

The customer-owned company is also one of Australia’s longest-standing financial institutions. Founded in 1875, Heritage has witnessed countless waves of technological change throughout its long history—from typewriters to the internet and everything in between. The company provides all retail financial products, including home loans through its branch network and through a network of mortgage brokers across every state and territory in Australia. NIX is a team of 3000+ specialists all over the globe delivering software solutions since 1994. We put our expertise and skills at the service of client business to pave their way to the industry leadership. Based on the earlier outlined use cases of RPA in banks, you can get an idea of your own stellar case study.

DiGItal Services

These technical glitches have raised many concerns about the reputation and credibility of the institution. Thus, banks need to invest considerable time and money to ensure that their systems are always functioning error-free. With the rise in digital banking users, a bank cannot afford to have faulty server downtime. Even a few minutes can destroy the reputation and goodwill they created over decades. For example, the State Bank of India’s system outage resulted in major revenue losses for the bank.

automation in banking examples

An illustrative example of robotic process automation in banking is the automation of the entire AML investigation. The task involves substantial manual operations and can take up to 40 minutes per each case. Since the process is highly monotonous and rule-based, it is easy to automate with RPA, with the consequential reduction of turnaround time. Mandatory for financial institutions, these processes have a data-intensive and resource-consuming nature. Such activities as detecting suspicious banking transactions, conducting verification procedures, or performing numerous other manual tasks can be successfully automated. Furthermore, most processes are decently structured and rule-based so that no exceptions or human interference are required.

Common Roadblocks to Expect when Automating with AI

In 2021, ICICI Bank unveiled a corporate banking platform that delivers a comprehensive set of digital capabilities for businesses and their entire ecosystem, including employees, dealers and suppliers. Banks deal with multiple types of customer queries every day and must respond with low turnaround time and swift resolution. Conversational AI and Robotic Process Automation (RPA) can determine customers’ intent through natural language interactions and direct their enquiry appropriately, reducing turnaround time to seconds. By automating Master Data updates from multiple input documents, we delivered an accuracy rate of 100%, significantly reducing service wait times. With RPA and automation, faster trade processing – paired with higher bookings accuracy – allows analysts to devote more attention to clients and markets.

  • Correlate those examples with your company and estimate the investment vs. gains that RPA will bring.
  • In addition, each employee executes a manual check procedure in their unique style and is likely to make 10 errors out of one hundred provided jobs.
  • The paper also focuses on the ethical issues raised in introducing modern interoperable and predictive Healthcare IoT solutions.
  • In addition to the knowledge of bank services, we need to understand the typical activities that happen in a bank.
  • So, realistically, everyone at Heritage knows all the robots and sees them doing things.
  • RPA is a combination of robotics and artificial intelligence to replace or augment human operations in banking.

The easiest way to start is by automating customer segmentation to build more robust profiles that provide definitive insight into who you’re working with and when. To that end, you can also simplify the Know Your Customer process by introducing automated verification services. As RPA and other automation software improve business processes, job roles will change. As a result, companies must monitor and adjust workflows and job descriptions. Employees will inevitably require additional training, and some will need to be redeployed elsewhere.


Other RPA benefits noted by the bank include an 88-percent improvement in transaction-processing times and account-closure validations—across five different systems—with an impeccable accuracy rate of 100 percent. Get in touch with us if you’re looking for a seasoned team of experts that knows how to implement business process automation successfully. Capgemini suggested that the financial services industry could get up to $512 billion in new global revenue thanks to automation. Implementing the RPA solution in banking generally begins with the identification of accurate and feasible processes. It is pivotal for banks & finance companies to shortlist the right procedures followed by assessing them based on overall impact.

automation in banking examples

Intelligent character recognition makes it possible to automate a variety of mundane, time-consuming tasks that used to take thousands of work hours and inflate payrolls. Artificial intelligence-enabled software verifies data and generates reports according to the given parameters, reviews documents, and extracts information from forms (applications, agreements, etc.). Forward-thinking industry leaders look to robotic process automation when they want to cut operational costs and boost productivity. Banking, Finance, Insurance, and other industries are using Workfusion for automating their organizations’ operations.

Intelligent Automation in Banking

Artificial Intelligence (AI) is fast developing technology for across the world. The banking sector is becoming one of the first adopters of Artificial Intelligence. In this paper, we will discuss how Artificial Intelligence is used in the Indian banking sector, what are the benefits and what are the Challenges facing India? Development that Artificial Intelligence offers to FinTech and the different ways in which it can improve the operations of an Indian banking sector.

What is automation in banking sector?

Banking automation is applied with the goals of increasing productivity, reducing costs and improving customer and employee experiences – all of which help banks stay ahead of the competition and win and retain customers. Automation allows banks to connect systems and reduce manual tasks.

What are 4 examples of automation?

Common examples include household thermostats controlling boilers, the earliest automatic telephone switchboards, electronic navigation systems, or the most advanced algorithms behind self-driving cars.

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