Top 9 RPA Use Cases & Examples in Finance in 2023

While RPA can assist with these tasks, some organizations will find that it isn’t fully suited to the complexity or multi-step process they use. Tools that deliver full-cycle accounts payable automation provide a more tailored approach to these tasks. For modernizing finance departments, a full consideration of all these solutions will reveal the best approach for your organization.

examples of rpa in finance

If your company is already using accounting software, it doesn’t mean RPA isn’t for you. The advantages and RPA accounting use cases we mentioned cover most business processes related to finance. Thus, digital transformation will benefit your finance department, ensuring better productivity, and performing complex and strategic tasks that drive value. Accounting includes complex processes and impacts different companies’ departments.

#9. Financial reporting

A unified approach based on the concepts of intelligent automation not only leverages RPA when it can provide value, but also brings in other critical tools, including AI, machine learning, OCR, and more. The competition for banks and financial services firms is fierce, particularly in a world of low interest rates and costly digital transformation initiatives. One way to increase revenue is by identifying cross-selling opportunities for new financial planning products. Organizations will need to promote a culture of learning and innovation as responsibilities within job roles shift. The adaptability of a workforce will be important for successful outcomes in automation and digital transformation projects.

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.

What are the first finance processes to automate?

You may wonder how RPA is different from your accounting software, which also tends to reduce processing errors. RPA implementation takes this complex activity of searching and verifying the details from different data sources, thus reducing the processing time by 80%. With RPA implementation, Radius Financial Group maintains its business pace efficiently. Even during the pandemic period, the company could remain productive and generate profits. On top of that, the approval matrix and process may lead to a lot of rework in terms of correcting the formats and data. Automation can take up this tedious, repetitive task while ensuring the correctness and forwarding the invoices to the aligned approving authority in no time.

examples of rpa in finance

They can even extract data from paper sick lists that are still in use in some countries. 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 the mismatches (if any) for review. If you adopt RPA bots as your digital workforce, they will issue and email invoices automatically. By automating this task, you will get a consistent cash flow without deficiencies.

The Benefits of Adopting RPA For Your Accounting Functions

As to fears that the robots are coming for the finance teams’ jobs, it’s important to include those teams on RPA projects both to allay fears and to find new opportunities, Gannon said. 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. For years, organizations have been trying to find financial improvements through enterprise systems, reporting tools and stopgap measures that attempted to eliminate repetitive manual actions. The latest RPA solutions use the integrated capabilities of artificial intelligence (AI) and ML models to “review” reports, flag potential issues and learn from experience.

  • According to a report by Gartner, human error with finance functions produce about 25,000 hours of rework which costs about $878,000 per year.
  • There is always a need to hire a new team member to help manage the workload in case transaction volume gets to a certain point.
  • Yet within accounting, many SMB leaders and account managers still struggle to increase their efficiency in daily accounting tasks.
  • However, being repetitive and time-consuming, AP is the perfect candidate for RPA automation.
  • Only when the data shows misalignments do human involvement become necessary.
  • Around 80% of finance leaders have implemented or are planning to implement RPA.

The amount and complexity of data used in the financial services business is enormous. Regular automated reports, on the other hand, assist employees to be better educated and prepared. Keybank
One of the most well-known commercial banks, Keybank adopted RPA early on to boost efficiency in a practical way.

Processing cash data

Robotic Process Automation (RPA) has evolved into a powerful and effective technology to meet these expectations. Around 80% of finance leaders have implemented or are planning to implement RPA (Gartner). It can take a company between 4 and 16 days to process an invoice from receipt to payment approval – and a significant portion of this processing requires at least 76 percent manual input. A large global company could have upwards of 75,000 suppliers – all with separate payment processes and credit rules. Vendor management helps ensure a debt is properly paid to a vendor in the correct timeline and according to the agreed upon terms. “That technology exposes a visual pattern of the various tasks that a worker performs,” he said.

examples of rpa in finance

Remember that humans still have control over robotic accounting, and the right rule configurations ensure there is someone to double-check any potential exceptions. To limit the risks of regulatory fines and reputational damage, financial institutions can use RPA to strengthen governance of financial processes. RPA helps consolidate data from specific systems or documents to reduce the manual business processes involved with compliance reporting. ML goes further by deciding what data an auditor might need to review, finding it and storing it in a convenient location for faster decision-making. The robots used in RPA are ideal for handling a high volume of recurring tasks without human intervention.

RPA use cases in Finance Industry

As RPA makes its way into accounting, the following are a few areas that can derive real benefits from robotic automation. With over a decade of automation experience, we design, develop, and deploy bots tailored to your specific company needs, allowing you to save money while improving operational efficiency. Banks can use RPA technologies to expand their trade finance operations and strengthen their position in the financial supply chain. For example, RPA can automate activities related to issuing, managing, and closing letters of credit- the most often used trade financing instrument. Now that we’ve outlined some compelling reasons why financial services organizations require RPA technologies, let’s look at how it works in practice. This is a crucial business activity that could consume a large amount of time.

examples of rpa in finance

This means there’s room for companies to automate invoice management with RPA. RPA can monitor receipts, extract data, register invoices, send notifications, perform reconciliations, and more – all in a matter of minutes, not days. There’s a lot to keep track of and record in the workflow of payment and receiving, including approvals, the payment itself, as well as reconciling journal entries at the end of the month. “These business areas are usually well-documented with most of the work being done manually,” he said.

Automate recurring steps in recording and reporting

RPA can automate tiresome, time-consuming tasks such as creating and sending invoices and enables automatic tracking of invoices, reducing late payments. Most financial companies and institutions have to process hundreds of transactional records per day, dig across information how to start learning natural language systems, extract data, and complete data entry. Let’s talk about RPA use cases in finance and accounting to discover how robotic process automation streamlines the daily routine. Another benefit of robotic process automation in the financial industry is budget optimization.

Despite the fact that most firms use tax preparation software, there is still a large amount of human work involved. The majority of this manual activity may be automated with RPA bots, saving time and money while improving accuracy and compliance. Comparisons and trends can be established based on historical data and current information, which are proven successful strategies to forecast and plan your business. One of the leading commercial banks, Keybank, adapted RPA at an early stage to improve efficiency in a highly realistic manner. Account receivable that involves multiple steps of repetitive tasks of generating invoices and POs has been automated. Although the bank’s key focus is typically the payments, the automation of accounts receivable makes the payments process smooth and error-free from the first step to the last stage.

Ways in Which Artificial Intelligence Is Revolutionizing the Financial Services Sector

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. Dean implemented one system for a banking and insurance company that wanted to improve various processes involved in master data management and financial account maintenance. For example, they used RPA to automate three back-office processes related to seizure of financial assets for customers based on official legal requests made by executors.

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