Federal Bank, a leading private sector bank headquartered in Kerala, India, has turned to automation to meet a critical regulatory deadline and strengthen control over complex, data-intensive processes as its operations have expanded rapidly over the past decade.
The bank, which now operates more than 1,250 branches across India, partnered with global software company UiPath to deploy robotic process automation (RPA) as part of a broader effort to improve software quality, reduce operational risk and support digital resilience.
After completing a ten-year period of aggressive growth, Federal Bank faced mounting compliance requirements that placed pressure on its existing processes and systems.
One of the most urgent challenges stemmed from a new regulatory mandate requiring the management and merging of unique customer identification codes (UCIC) to ensure accurate customer identification across the organisation.
Addressing the requirement manually would have taken up to a year, introduced significant error risk and required substantial additional staffing.
Against this backdrop, the bank began exploring RPA as a way to automate highly repetitive, rules-based processes while maintaining accuracy and scalability.
Federal Bank has long positioned technology as a core enabler of growth, guided by an internal digital transformation theme of “digital at the fore, human at the core,” aimed at balancing automation with customer-centric service delivery, according to Shalini Warrier, a former chief operating officer at Federal Bank and currently an executive director at the bank.
“We always look for new, better, and smarter ways to manage our entire business,” said Warrier. “These new situations led us to consider robotic process automation, and we were confident automating many critical processes would help users reduce costs, improve data accuracy, and gain a scalable solution for future efficiencies for the entire company.”
Firm deadline
Following an evaluation of leading RPA vendors, the bank selected UiPath and moved quickly into a proof of concept focused on the UCIC compliance challenge.
According to Roshni Majeed, assistant vice president and Federal Bank’s first RPA champion, time constraints were a defining factor in the decision to automate.
“It quickly became clear that we didn’t have a lot of time to hit the compliance date,” explained Majeed. “Yet we also realized that if we attempted to perform all the necessary work manually, we were at risk of not hitting the deadline.”
Early estimates suggested the UCIC project could require as many as ten employees working for up to a year. Instead, the bank used a UiPath Robot to automate key data merge steps, initially testing the approach on a sample of 10,000 customer records.
Where employees previously needed a full day to merge 200 to 300 records, the software robot was able to merge around 250 records per hour and continue operating on a 24-hour basis.
“The UiPath Robot helped automate this vital process and save significant amounts of time, effort, and budget while hitting the compliance deadline,” said Warrier. “The UiPath Robot helped us get it done in 50% of the time. We were able to get this important project done in six months as opposed to the year or more we first estimated, which helped deliver an impressive return on investment.”
For QA and software testing teams, the initiative highlights how automation can improve control and consistency in compliance-driven workflows.
The UCIC process achieved a zero percent error rate when executed by software robots, reducing the risk of data inconsistencies and rework while improving auditability. Turnaround time for the compliance process was cut by around 50 percent compared with initial estimates.
Building on the success of the initial deployment, Federal Bank has expanded its use of UiPath across the organisation. The bank has already automated 15 processes and plans to automate a total of 53, particularly in areas such as account reconciliation and other high-volume operational tasks.
It is also establishing a small internal centre of excellence to support the development, testing and governance of additional automation initiatives.
Automation has also been applied to customer-facing operations, including merchant onboarding for BharatQR, a system used to facilitate merchant banking transfers in India. Previously, onboarding required up to seven minutes of manual effort per transaction.
“The UiPath Robot has brought this time down to just one minute per transfer,” disclosed Warrier. “That would have been unimaginable in a manual environment.”
From a digital resilience perspective, the use of centrally managed software robots has enabled Federal Bank to execute critical processes faster and more reliably, while reducing dependency on manual intervention.
For QA teams, the approach demonstrates how RPA can act as a quality layer across legacy systems, supporting consistent execution, lower defect rates and clearer operational traceability.
Looking ahead, the bank plans to combine RPA with artificial intelligence to further enhance automation capabilities across IT and operations.
“We continue to evaluate new automation opportunities to become even more agile,” Majeed concluded.
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