Robotic Process Automation in Finance and Accounting: 10 Use Cases

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So a good RPA use case is one that follows that structure, especially if the task doesn’t benefit from human involvement or intervention. 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. RPA came to join other technological projects aiming at making our collaborators’ work easier and enabling us to offer increasingly better services to our clients. The repetitive process-oriented nature of Accounting and Finance functions make them some of the most ideal candidates for RPA.

Robust RPA bots can aggregate data into expense reports, attach receipts to corresponding entries, verify existing expense logs, and flag policy violations or data discrepancies. Automating this process using RPA can reduce errors, improve employee experience, rpa use cases in accounting and enhance adherence to company policies and legislation. RPA and intelligent automation allows banks to run repetitive processes like data entry and customer service more accurately and effectively, without overhauling existing systems.

Account Reconciliation

RPA can improve accuracy and efficiency to provide more precise information for tasks such as invoice processing, tax reporting, and accounts receivable. In the financial industry, RPA has the potential to optimize business processes and improve operational efficiency. By automating mundane and repetitive tasks, it enables finance teams to reallocate their time and resources to more important activities, such as financial analysis, decision-making, and customer service. Societe Generale Bank, Brazil has been the leader in financial services, and it could become possible by automating tedious, repetitive tasks through robotic process automation. The data used in the financial industry is huge and complex, but the regular automated reports prepared by RPA bots help the employees to be better informed and provide par-excellence customer service. The positive value added to enhance the customer experience has significantly transformed the business model.

So, it is a good practice to carefully determine your starting point and partner with a reputed financial software development company like Appinventiv to embrace RPA trends in finance. To understand it better, an organization with other functions and sub-companies follows different structures and processes in maintaining its accounts. Bringing all of them into a standard processing format might not be possible based on the business requirements and client needs.

DiGItal Services

Minor human errors in each department can accumulate, leading to significant losses. RPA services for the accounting industry let companies automate manual accounting procedures to eliminate human errors from the equation. Another benefit of robotic process automation in the financial industry is budget optimization. As it was mentioned above, RPA saves resources by handling repetitive tasks faster than humans. Automation can significantly alter accounting operations; however, it can hardly substitute humans. An extremely tedious procedure, loan processing already became the candidate for RPA a while ago.

rpa use cases in finance

RPA can greatly reduce the quantity of manual, repetitive and time-consuming tasks performed by finance experts so they can focus on more valuable activities, such as P&L reporting, Chawla said. Many firms cut processing time significantly and provide earlier access to reports with much higher accuracy. However, many tasks concerning finances have remained manual, either because of a lack of appropriate solutions or out of an organizational uneasiness about placing essential tasks in the hands of robots. Remember that humans still have control over robotic accounting, and the right rule configurations ensure there is someone to double-check any potential exceptions. IBM is building the industry’s most comprehensive suite of AI-powered Automation capabilities. With IBM Robotic Process Automation, financial services firms like Credigy Solutions can automate more business and IT tasks at scale with the ease and speed of traditional RPA.

What is the future of RPA in finance?

RPA gathers market data, performs data analysis, and generates financial forecasts based on predefined algorithms and models. This allows finance professionals to make data-driven decisions instead of relying on guesswork. If those use cases aren’t enough to help you envision all you can do with RPA, take Santander’s real-life example. Their HR function was able to reduce the time it took to onboard new employees by 85%. That means it needs to run efficiently so that people can get the help and support they need from the government.

  • Robotic process automation enhances productivity, drives the efficiency of employees, and elevates customer satisfaction while keeping costs low.
  • Receiving goods and services is an important process to confirm that goods or services purchased have been received or completed following a purchase agreement or purchase order.
  • Automation gaps often exist when certain activities must take place across different computer systems.
  • Based on the status, create a report and send it to the collectors to do the needful.
  • Also automate the TDS (Tax Deducted at Source) ledger and TDS Master processes.

Credit card application handling is another use case where RPA in the banking industry can bring sensational benefits. Thanks to effective automation, organizations become empowered to issue credit cards within hours. Robots can expeditiously navigate through systems, verify data, perform the required background checks, and finally approve or reject the application. An exceptionally time-intensive assignment, bank reconciliation requires the efforts of knowledge workers to collect a pile of transactional data that encompasses multiple banks and balance the figures. Instead, adequately programmed robots can effectively substitute human effort. Rule-based automation will allow for quick verification of each payment against other records and reconcile the records if a match is attained.

Reinvent the business, not the wheel

While the two previous steps are shaping the background for your automation path, at this stage, you should start creating a strategy relying on the collected information. Let’s see the breakdown of AI-powered RPA solution types applied in banking by the total funds raised. As we mentioned before, this article merely scratches the surface of what RPA is capable of in your industry or business function. If your business handles a supply chain then you’re perfectly positioned to benefit from RPA. Rather than list use cases for the automotive sector, let’s look at how Jaguar Land Rover (JLR) leverages RPA to stay ahead of the competition. Private Equity falls within the financial sector but comes with some unique use cases.

Also, bots can do tasks for hours in just a matter of minutes without getting tired. Digits and figures must be accurate to the decimal places to eliminate mismatches in the reconciliation and data processing. Robotic process automation (RPA) in the financial sector helps improve operations’ speed, accuracy, and efficiency. This technology is evolving quickly and can handle data more efficiently than humans while saving huge costs.

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For example, using natural language processing, digital workers can analyze the text that comes in with invoices and automatically route issues to the correct team. RPA is part of the greater trend of hyperautomation, enabling organizations to move from automation that mimics human actions toward automation that uses data to optimize end-to-end finance processes. Finance automation got a kick-start in the 1990s, when MIT researchers developed the optical character recognition (OCR) technology for reading the handwritten parts of checks with high speed and accuracy.

rpa use cases in finance

Therefore, it is essential to ensure that all departments work together and are in sync when implementing RPA. Consider establishing a governance structure that defines roles, responsibilities, and procedures. Also, improve communication between teams by re-engineering and optimizing processes and ensuring cross-functional collaboration. With sufficient training, it becomes possible for regular employees to set up RPA bots themselves.

RPA Use Cases In Finance

RPA produces accurate, timely results so your team can have more time to foster better client relationships and focus on larger-scale tasks. RPA can be used across a variety of industries, such as healthcare, marketing, and manufacturing. Finance, with its accounting and procurement departments, meets both criteria. As a business function, it’s famous for repetitive, time-consuming tasks like data entry, reporting, cross-checking, and record keeping, which are the perfect food for RPA bots.