RPA in finance streamlines operations, reduces costs, and boosts accuracy. Learn how leading banks and institutions are adopting this game-changing technology.
Updated 7 November 2024
CEO at Appventurez
The finance and accounting industry these days is witnessing a digital transition. Like any other industry, AI and automation have made their way into the finance industry as well. One of the most recent adoptions in the finance industry is the usage of RPA In Finance.
Robotic Process Automation is a software technology that helps organizations perform recurring and less important tasks with the help of virtual assistants or robots as they are called. This leaves employees with enough time to focus on other important tasks.
With the power of AI development, constant changes, progressive customer expectations, and rigid regulatory requirements govern the dynamic world of banking and finance app development services.
Many prestigious financial institutions such as Societe Generale Bank, KeyBank, and Zurich Insurance have inculcated RPA in their workforce. Due to its increasing popularity, the RPA industry is witnessing a boom and is expected to grow at exceptional rates in the next decade.
As per the recent statistics, the RPA industry stands at a $5.4 billion industry in 2024 and is expected to grow at a whopping CAGR of 36.6%. It is expected to cross the $75 billion mark by 2034. Isn’t that insane?
RPA or Robotic Process Automation in finance uses virtual robots to execute business processes through a general interface. That, in turn, demands compliance with such areas as the financial processes, forms, work of distinct workflows, and the integrations of the software that is aimed at ensuring proper communication.
Through RPA, organizations can fully automate some functions in the Finance Department, including account reconciliation and preparation of financial statements. This is especially useful in the areas of the finance departments since the sections are usually tight on time and human resources. Managers, board of directors, sales staff, and other business people trust accurate organized data and detailed analysis in order to make effective and timely decisions.
Besides, the industry is optimistic, and the BFS sector remains highly competitive and filled with players, so someone has to retain its share in the constantly growing industry of financial automation. Through the application of sophisticated RPA tools, businesses can further streamline processes, minimize wastage of time and resources, and increase accuracy and compliance with regulations.
Although the process of implementing RPA in Financial operations is a bit arduous, it can prove to be very beneficial for businesses. With the Fintech trends and RPA trends in Finance, here are some of the key benefits of RPA in Finance.
RPA In finance has helped businesses focus on more important tasks that involve more time and effort. There are numerous cases where financial institutions can inculcate RPA to streamline their regular and recurring tasks. Here are a few cases where RPA has shown exceptional results for various organizations:
Most of the financial and banking bodies are implementing the RPA in their work to run the processes very smoothly and effectively. Below are some real-life examples of RPA in finance and digital banking industry.
One of the World’s largest insurance firm, Zurich has implemented the RPA in the workforce for performing day-to-day tasks and managing boilerplate policies.
These RPA solutions help Zurich to more focus on easing complex insurance aspects and maintain standardization in work.
Keybank, one of the leading names in commercial banks, started working with RPA very early to increase efficiency and accuracy in realistic banking matters. Keybank has automation in invoice management, Purchase orders and bills receivable, helping to make payment methods smoother and error-free from every step.
Leader in financial services, Societe Generale Bank has adopted the RPA in their process to manage the tedious and time-consuming task. RPA bots help them to provide excellent customer service and transform the business model.
Automation made its way into finance back in the 1990s when OCR was introduced. OCR helped banks process cheque payments in a jiffy. However, there were no significant developments in RPA from the 90s until 2014.
This was the time when banks started using RPA In the finance sector on a large scale and after the Covid-19 pandemic, the real growth of RPA started and the future is yet to come.
The future of RPA remains largely positive and of high hopes. The industry is growing at an exceptional growth rate of 36%. This has been possible due to the increased acceptance and trust of RPA Bots in the finance sector. RPA in Financer has not only improved the quality of output but has also resulted in cost-cutting for the organizations. It has been noted that RPA inclusion in the system has resulted in savings of 30-35% of funds allocated to tasks previously allotted to human resources.
RPA in finance and banking has almost changed how businesses perform tasks and leverage AI solutions to deliver smooth and better experiences. Financial apps and AI in banking & finance simplify the whole process. We at Appventurez provide the best RPA software to help businesses grow by focusing on more important tasks. Being industry leaders, our RPA software has provided excellent results for our clients. Therefore, without further adieu, get in touch with professionals to make your organization more efficient and coherent.
Q. What is RPA in Finance?
Robotic Process Automation (RPA) is a software technology(robotic bot) that automates repetitive and rule-based work in the Finance industry. Adding more accuracy than human involvement and reduction of cost.
Q. What are the benefits of RPA in Finance?
RPA in Finance is beneficial in several factors such as an increase in efficiency, reduction in cost, improvement in data management, and great customer satisfaction.
Q. What is the difference between RPA and AI in finance?
AI in finance helps in the analysis of data, making predictions, and providing references to improve decision-making whereas RPA automates repetitive and rule-based tasks without any human involvement in a very effective way.
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CEO at Appventurez
Ajay Kumar has 15+ years of experience in entrepreneurship, project management, and team handling. He has technical expertise in software development and database management. He currently directs the company’s day-to-day functioning and administration.
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