Exploring IA and RPA Use Cases in Finance & Accounting

Increase operating leverage by digitizing data input, automating sales order entry and billing processes, increasing productivity, and reducing any billing errors to zero. As with invoice processing, OCR can help read paper documents, and machine learning can help map data from the documents into the system of record. For example, Dean worked on one project for a brewer that wanted to automate PO creation within their SAP implementation. 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. RPA can also complement other technologies for automation and integration.

rpa use cases in accounting

By optimizing your office for data-driven decision making, you’ll be running smoothly, giving your team back time for the work that matters most. Lack of communication between a company’s finance and IT departments can cause problems with organizational goals and decisions. 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.


According to UiPath itself, they helped an unnamed global investment bank automate deal reconciliation and settlement. This institution experienced acute problems with a high level of errors in operations and, as a result, a high level of financial and time spent on operations with the involvement of in-house analysts. UiPath has helped automate the trade process by placing a robot on hand to process all incoming trades.

Many financial services professionals are riddled with day-to-day records keeping, Excel spreadsheet maintenance, and manual data entry. In fact, almost everything a finance and accounting department does involves repetitive, rules-based, and frequent (RRF) tasks. Most financial companies and institutions have to process hundreds of transactional records per day, dig across information systems, extract data, and complete data entry.

Understanding how Robotic Process Automation (RPA) works

The financial and accounting industry involves many transactional processes that follow the same pattern – mundane, repetitive, and time-sensitive. On top of that, these processes are data-sensitive, and a slight clerical error could result in substantial losses. For any business to thrive in the competitive market, it’s vital to manage and monitor the whole financial process of your business. To make this happen, businesses need to focus on preparing the profit and loss reports and that too on a regular basis.

Track the payment status related to the usage of the leased assets in the business system. Auto-read the Excel file in the shared folder for details and store in the database. Repeats the steps for all records in the input file and email to the stakeholders.

Controller function using RPA

In doing so, invoice processing is accelerated, preventing potentially costly errors and avoiding financial penalties for late or incomplete payments. Auto-extract, auto-classify, and auto-validate data from an invoice or utility bill with intelligent document processing. Use human-in-the-loop verification only for checking the exception occurrences or below threshold level confidence level, which are clearly auto-marked for verification. Companies automating this process have experienced an average effort reduction by 85% and improvement in TAT by 10x times. Digital workers can help with financial reporting by automating the process of data collection, analysis and report generation. This can reduce the risk of errors and improve the accuracy of financial documents, as well as save time and resources.

rpa use cases in accounting

Robotic process automation (RPA) can help finance leaders tasked with modernizing and streamlining processes automate the jobs that accountants perform every day. By implementing RPA, businesses can free up to 30% of a full-time employee’s overall time and save 25,000 hours of rework for an accounting team of 40, according rpa use cases in accounting to Gartner research. Is your team re-keying data from PDF invoices to spreadsheets to accounting software for internal reporting? Such fragmented processes could lead to messy workflow, extra costs, and the risk of misstating financial results. Here, at Cleveroad, we have a lot of financial processes going on around.

Managing data

“RPA can automate and speed this process up, as well as reduce human errors,” Dean said. “The quickest wins have been more rules-based processes that are more amenable to RPA,” said Dennis Gannon, vice president of advisory services at Gartner. RPA uses AI capabilities to reduce errors and execute repetitive, high-volume work. Instead, it can automate certain parts of a complicated process involving numerous steps, and that has been a major driver of its use. 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.

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  • The benefit is that, especially in inflationary times, restaurants can adjust their meal prices with respect to ingredients’ costs.
  • Numbers are essential to Finance, and even if a single digit goes wrong- an entire system could go haywire.
  • This can result in significant downstream data cleaning and correction work.
  • With RPA, you can ensure that your payroll submissions are 100% accurate, on time, and fully compliant.

RPA robots can easily handle most of these tasks’ fundamental components, requiring human intervention only when data does not align as expected. RPA uses artificial intelligence to eliminate errors and automate repetitive, high-volume tasks. It is not even necessary to automate the entire process to be beneficial. Rather than that, it can automate specific steps in a lengthy process, which has been a significant driver of its adoption. Please keep in mind that RPA is not the solution to all business problems.

Process payment

For example, they may be used to approve payments to vendors even when a 3-way match is not reflected in the systems or enable employees to take additional days off. OCR and RPA can help companies deliver intelligent automation in customer onboarding. Most customer onboarding processes, like contract generation, can even be done in companies relying on legacy systems. Finance teams still spend a lot of time bookkeeping and analyzing historical performance. Despite automating basic accounting tasks, they remain markedly invested in preparing and consolidating data for day-to-day reporting. To open a bank account, clients have to upload a photo of their driver’s license or ID.

rpa use cases in accounting

These are documented at the front-line operator level by obtaining the work steps initiated on their machines or other devices. An RPA-based calculator can calculate the bonuses for regular customers, deposit fees, and produce the final interest rate for the deposit. This is one of the most popular RPA use cases in finance that brings transparency to loan and depositing systems and inspires trust among your potential clients.

Process customer inquiries and complaints

After you find an experienced and reliable vendor, it’s time to start developing and implementing an RPA solution in your financial business. The whole process consists of sequential steps that you should know about. However, if the development process costs you $100,000, and you have only two client support employees, it will take almost twelve years to pay off. https://www.globalcloudteam.com/ Therefore, you have to weigh a possible profit and make a decision carefully. The largest bank in Colombia, uses RPA finance solutions to provide their clients with market insights, analysis of their portfolio performance, and make suggestions on further investments. This feature is available to any client with an investments portfolio of more than $7,000.