Top 9 RPA Use Cases & Examples in Finance in 2023

Although RPA yields many benefits for automating accounting functions, there are a few roadblocks to consider before deploying it in your own systems. From capturing financial data to auditing it, and every step in between, the effectiveness in which RPA can handle systematic tasks comes to light within these accounting use cases. As RPA makes its way into accounting, the following are a few areas that can derive real benefits from robotic automation. Check out how automation software can maximise your business’ productivity. Additionally, it’s helpful to know Days Sales Outstanding , which is the time it takes to get paid.

Robotic process automation in finance and accounting facilitates gathering data from different sources and data present in different formats. Collating, reporting, and analyzing this data leads to better forecasting and planning. The above figure proves the effectiveness of implementing RPA in the financial sector.

Service Delivery

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 https://globalcloudteam.com/ 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. We will dive into the world of RPA in finance and accounting, exploring its diverse applications and the significant benefits it brings to the table.

• An RPA bot received input in two different formats, validated the completeness of the data input, then set up the PO shopping cart in SAP and submitted a request for its approval.
• With RPA, you can easily prepare invoices, keep track of their status, and hasten the speed of payment because you negate the risk of forgetting anything.
• This has drastically improved accuracy of cash application and substantially reduced processing time.
• 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.
• The main objective of RPA in accounting is the well-managed of repetitive functions and enhance productivity as well as cost-effectiveness.
• Let’s talk about RPA use cases in finance and accounting to discover how robotic process automation streamlines the daily routine.
• The bots can then compare this information with information from HPE’s ERP systems on the actuals to identify the gaps and highlight discrepancies.

According to Gartner, human error within the finance function produces, on average, 25,000 hours of avoidable rework at a cost of $878,000 per year. RPA removes the inconsistencies of human performance and consistently delivers accurate results, ensuring you can compile data to analyze financial reporting faster and more reliably. Your finance and accounting department can offload manual work from full-time employees to automated bots by creating optimized processes that compile data for financial reports.

Free Up Time and Reduce Errors

Most businesses are taking advantage of the benefits of robotic process automation tools, but there’s one industry that’s been an early adopter–finance. Robotic process automation in finance can manage many use cases because finance functions fit the RPA criteria well in that they are repetitive, high in volume, data heavy, and time sensitive. Book invoice amount in miscellaneous accounts for one-time customers by using intelligent document processing and tag them as “miscellaneous accounts category”. It includes reading Excel report, Searchable PDFs, and Text Invoices for getting data from finance-related systems and transactions in the business systems.

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. There are many tasks within accounting and finance that you can take part out of human hands for more efficient work. The HPE cash application team processes a huge volume of payments from customers in over 50 countries. This process often starts with bank statements that need to be rendered in the appropriate format and copied into the accounts receivable application for a given department or group.

Accounting Automation Use Cases That Speed Up the Process

Robotic accounting is a form of robotic process automation or RPA, which is used in the accounting field. It uses software bots, in order to eliminate the need for human input in accounting processes. 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. Financial institutions and banks can streamline the loan application process through RPA. Typically, loan and appraisal requests take the form of huge chunks of documents when accumulated. The teams must extract data from those applications, verify them against numerous identity documents, and manually evaluate creditworthiness.

The challenge is that companies in this industry are always short on time and short on budget. If your industry isn’t listed but you want to know how RPA can improve efficiency in your company, get in touch here. If your accounting department is ready to overcome these roadblocks and reap the benefits of RPA, you can find and compare the best RPA products and tools in the Software Advice directory. In evaluating whether or not your accounting methods are a good fit for RPA, be sure to remind hesitant coworkers that RPA is there to make their lives easier, not to replace them. Despite the use of robots, it’s the people directing them that are crucial to their success.

Understanding how Robotic Process Automation (RPA) works

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. In case of discrepancies, robots will transfer the respective records for additional verification. For some institutions, the cost of conducting compliance procedures and customer due diligence can reach several hundred million dollars annually. Intelligent automation tools can save considerable costs and effort and remove human error.