Table of Contents Hide
- Why choose RPA?
- RPA Use Cases in the Financial Sector
- Decoding the Benefits
- Concluding Note
In the banking industry, robotic process automation (RPA) is the most prevalent technology that has been shaping the future, not only by simplifying processes but also by magnifying security. RPA systems are being used more frequently by banking and financial service companies to create the greatest customer experiences and automate repetitive processes to save on the productivity leakage that employees struggle with.
Virtual banking solutions powered by AI and RPA assist financial institutions in enhancing the level of customer service and changing the ways in which consumers actually interact with businesses.
RPA-powered mobile apps and enterprise-level software solutions are the ideal assets for banking and financial firms in this rapidly evolving digital space. They assist service providers in overcoming the difficulties associated with leveraging traditional banking techniques to increase productivity and enhance operational effectiveness.
To survive today’s highly competitive market scenario, banking firms need to stay on top of the rapidly evolving customer expectation by offering advanced, digitally-supported client experience.
To break through the need to implement RPA and automation technologies to support the digital aspiration of clients, let’s look at the top advantages and use cases of the same. Organizations that intend to invest in RPA software and advanced process automation solutions need to read through!
Firstly, let’s decode the importance of robotic process automation for the banking industry.
Robotic process automation, known as RPA, makes it simpler to build, use, and control software robots that mimic human behavior and communicate with digital platforms.
Robotic process automation, in the context of banking, automates manual banking procedures by employing rule-based automated workflows to carry out banking activities successfully without human supervision.
RPA bots can be employed based on the in-depth study of human digital interactions that not only refine the overall processes but also eliminate all possibilities of human error. Robotic process automation has also shortened the time needed to finish a number of back-office tasks that used to burden the bank staff.
By transferring many of these tiresome, manual processes to computers, banks have significantly reduced the requirement for human engagement. This has had a huge influence on everything from performance and efficiency levels to staffing problems.
With RPA in banking, automated processes may be used to interact with any application or system in the same way people do, with the added benefit that they can work continuously, reliably, and accurately around the clock.
Why choose RPA?
In the banking industry, RPA is frequently used to organize and automate laborious tasks. RPA has also greatly reduced the number of back-office duties that previously decreased staff productivity. Banks have reduced their reliance on human resources as a result by automating the majority of these manual, repetitive processes. Everything from performance and efficiency levels to personnel issues and costs has been directly impacted by this.
RPA Use Cases in the Financial Sector
After outlining some strong arguments for why financial services companies need RPA technologies, let’s examine the top use cases for the same:
Enhancing customer satisfaction is essential for business success. RPA bots dramatically reduce workload and incoming inquiries for the banking sector. It can help manage a lot of everyday traffic and enhance customer service through quick response.
Bank customer onboarding takes a very long time since various documents need to be manually verified. By employing optical character recognition to extract the data from the KYC documents, RPA can significantly simplify the procedure. The information that the customer gave in the form can then be compared to this data.
AutomationEdge can be a great help in this case, as they have simplified the Aadhar masking process for one of the top banking clients in India.
Anti-Money Laundering (AML) and Know Your Customer (KYC)
Both KYC and AML are very data-intensive processes. Thus RPA is best suited for them. When compared to conventional banking solutions, RPA deployment proved to be extremely effective in saving time and money by automating tedious operations and identifying fraudulent banking activities.
It has traditionally been considered a tediously slow process to sanction loans. Even though the bank has partially automated the procedure, RPA further quickened it and reduced processing time to a record 10-15 minutes.
The volume of requests for account closure that banks must handle each month is tremendous. One factor is the client’s failure to comply with the requirements for the submission of the necessary documentation.
By effortlessly tracking all of these accounts and providing them automatic messages and extra reminders for the submission of the necessary paperwork, robotic process automation enables the banks to address this issue.
Decoding the Benefits
Now that we have answered what and how of the need for RPA implementation, let us examine the benefits of implementing the same across the banking industry:
A rise in operational effectiveness
Banks and other financial organizations can speed up, increase productivity, and streamline their procedures once they are set up properly.
Cost-cutting is essential in the banking sector, just like it is in every other. Banks and other financial organizations can try to save processing costs and time by between 25 to 50 percent by employing automation.
Reporting on risk and compliance
By creating complete audit trails for each and every procedure, RPA in banking helps to lower company risk and uphold high process compliance.
Rapid implementation and faster processing
With RPA tools’ drag-and-drop technology for automating banking procedures, automation workflows are simple to develop and can be managed with little (or no) coding.
Business expansion using legacy data
By implementing RPA, banks and the financial services sector are bridging the gap between processes by using both new and old data. This kind of data collection and availability in one system enables banks to provide quicker and more accurate reports for business expansion.
Robots are extremely scalable, so banks can manage large volumes during busy business hours by adding more bots and responding to any situation quickly.
Furthermore, by relieving employees of time-consuming tasks, the deployment of RPA in banking enables them to focus more on creative methods to grow their businesses.
Robots are accessible around-the-clock, every day of the week, to carry out your tasks, whether you wish to reduce human error or achieve high accuracy at a reasonable price. They are therefore reinforcing the all-encompassing presence.
More rapid implementation
Banking RPA technologies provide a drag-and-drop way for automating banking activities, making it easy to set up and maintain automated workflows.
Yes, the future of banking is centered on RPA. But, honestly, the firms are not yet ready for this mammoth change. Al is being used worldwide, but it will take time for the technology to be broadly deployed and advanced in the banking space.
Over the next three years, there will be a more than 50% increase in global spending on cognitive technology, and Al is expected to be the secret weapon for any bank wishing to dominate the industry.
In accordance with a client-focused strategy, the most tech-ready banks will be the first to market and utilize these technologies in a holistic manner as opposed to the ones chasing the isolated, siloed, legacy ways of human-driven operations. And these early adopters will truly turn out to be the market leaders dominating with the automation sword in their hands.
Curious to know how? Reach out to AutomationEdge dot com for a free demo.
Featured Image Credit: Photo by Alena Darmel; Pexels; Thank you!