Five Ways to Use RPA in Finance

Software robots can direct invoices to the team member responsible for their approval and set up reminders. They can also match the purchase order with the invoice, compare them, and flag https://www.globalcloudteam.com/ the mismatches (if any) for review. Accounts Receivable is a good point to kick off automation in finance, as it’s less reliant on external documents, as opposed to Accounts Payable.

rpa use cases in finance and accounting

Here’s a quick look at some key benefits of RPA implementation in finance and accounting. Software robots can read screens, navigate interfaces, and pull information from scanned documents—faster and more accurately than their human colleagues. Managing debt and investments are important aspects of financial administration and involve the strategic supervision of an organization’s financial resources. Effective treasury management (particularly with the addition of business automation and AI) helps your company maximize liquidity and enhances your financial performance.

Exploring IA and RPA Use Cases in Finance & Accounting

Some organizations bring RPA in to automate a few repetitive, high-volume tasks and leave it there. But with advances in AI and machine learning, intelligent automation has massive potential across the board. Consequently, a streamlined and cost-efficient team can focus on delivering better customer service and enhancing the overall customer experience.

rpa use cases in finance and accounting

Danske bank is a great example of how to automate the customer onboarding procedure. The bank has developed a robot that transfers the data collected during an onboarding meeting by a bank adviser from the client. The adviser has to enter data into the onboarding platform and then into the customer portal platform.

Reinvent the business, not the wheel

RPA bots can complete tasks 20 times faster than humans, increasing productivity organization-wide. RPA bots can handle various tasks, such as data entry, document scanning, and information verification. You can automate credit checks, risk analyses, and loan amounts calculations to reduce errors and boost customer satisfaction. Developing and delivering daily profit & loss reports is an effective way to show a company’s financial health in near real-time.

  • RPA creates a bot to use your existing infrastructure, IT solutions, apps, and other digital systems efficiently and effectively for completing repetitive tasks.
  • If you’d like to talk about particular use cases in your or your client’s finance and accounting department and see RPA in action, book a demo.
  • The result is greater data integrity and consistent processes, while teams focus more of their skills on analytical work, strategic financial planning and other high-value goals.
  • Effective administration requires tracking and analyzing cashflow, forecasting, and implementing techniques and strategies to ensure you have enough cash on hand to meet your financial obligations.
  • Auto-read the Excel file in the shared folder for details and store in the database.

Make note of these improvements and document the steps involved, as well as the relevant parties involved. This documentation will help ensure that everyone is on board when RPA is deployed. Despite the repetitive nature of RPA, most financial leaders are timid about implementing it in AP. Thanks to the popular myth of RPA inefficiency in dealing with unstructured data and non-structured invoices. Account Payable is a critical part of the day-to-day functions of any financial institution. However, being repetitive and time-consuming, AP is the perfect candidate for RPA automation.

Where to Deploy Your Automation

All while balancing the day-to-day tasks like managing payroll and billing. Finance is under pressure to increase the ROI on finance robotics (sometimes called robotic process automation or RPA, smart automation, or intelligent automation). At the same time finance robotics must be scaled out of shared services and into other finance subfunctions such as procurement and tax. Software robots perform tasks such as collecting bank statements and entering critical financial data into the accounts receivable (AR) system, while streamlining the matching of payments to open invoices.

As a manual task, this requires an employee to check Fedline (a branch of the Fedwire Funds Service) for inbound transfers to process and post any outgoing transfers. RPA technology simplifies adherence to regulatory requirements, enabling financial institutions to track and monitor activities easily. RPA-enabled audit trails are invaluable in such a highly regulated industry as finance.

Fight financial crime

Your team will also need to adapt to the new processes so that all stakeholders will enjoy greater efficiency and higher speeds of task completion. With the implementation of robotic process automation in financial services, opening and closing of accounts have become more straightforward, fast, and accurate. Automation eliminates potential mistakes and enhances the data quality of the system.

There’s a lot intelligent automation can do for finance and accounting departments. Namely, accuracy, compliance, speed of productivity and enabling higher-value work to get done. As the tasks involved are repetitive in nature, it is time-consuming and error-prone. RPA integrated with ML and AI can take up the tedious and monotonous task of performing repetitive tasks of generating invoices and POs. This will keep track of comparing the raised invoices against POs, keeping the audit in place on a real-time basis. KYC is a necessary and time-consuming process that the BFSI market has to perform for every customer.

Updating Customer Data

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 rpa use cases in accounting 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.

rpa use cases in finance and accounting

Project leaders can start by inviting a few people from a finance team into an automation lab for a few days a month to practice putting new bots into a production environment. Over the course of the rest of the month they will notice how the bot worked and can identify any in-use problems or limitations. These deep dives can also teach them how to spot other automation opportunities between sprints in their daily work.

What Is RPA in Finance?

In addition, by notifying all the stakeholders of the relevant changes at business or regulatory levels, RPA ensures that no risk slips through the crack. Learn about some of the benefits that can result from doing so, as well as potential challenges. Once bad data enters the enterprise data ecosystem, it can quickly spread to multiple systems and data repositories. This can result in significant downstream data cleaning and correction work. “While business requirements can be negotiable and are subject to improvisation, accounting rules and compliance requirements have to be dealt with kid gloves,” Singh said.

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