Bank Boosts Compliance with Scalable RPA Automation Using TruBot

One of India’s foremost private sector banks, renowned for its extensive retail and corporate banking footprint, robust digital infrastructure, and commitment to operational excellence. Guided by a vision to lead with agility, compliance, and digital-first operations, the bank continues to set new benchmarks in regulatory excellence and customer trust.

The Challenge: Navigating a Complex, Manual Compliance Landscape

Despite being a digital-forward institution, the bank’s statutory compliance processes—particularly those related to the CERSAI—were still burdened by legacy workflows. The CERSAI process, which required the bank to manually enter and update details for every mortgage case into a third-party government system, was both tedious and time-consuming.

Each record had to be individually validated and uploaded, leaving room for manual error and extending the cycle time significantly. As mortgage volumes grew, so did the pressure on the operations team to maintain accuracy and compliance within tight regulatory deadlines.

The long turnaround time was leading to low productivity, high operational overheads, and increasing concerns at the executive level. For the Chief Operating Officer (COO), this process bottleneck posed a serious threat to efficiency metrics and exposed the bank to risks of delayed compliance—something no institution of this scale could afford.

There was an urgent need for transformation: a solution that could streamline the CERSAI update process, ensure accurate statutory reporting, and free up critical manpower for more strategic tasks. The mandate was clear—reduce cost, improve speed, and eliminate error-prone manual touchpoints.

The Solution: Intelligent Automation at Scale

To address the operational complexity and regulatory sensitivity of the CERSAI process, Datamatics deployed a Robotic Process Automation (RPA) solution built on a robust multi-bot architecture. Designed for scale and precision, the solution seamlessly integrated with the bank’s existing systems while adhering to stringent compliance protocols.

The RPA bots were programmed to log in to the bank’s core banking system, extract mortgage case details, and validate the data in real-time. Once the relevant information was consolidated, the bots then accessed the government CERSAI portal and systematically uploaded the data—entering a minimum of 20 data fields across 7 different tabs for each case, directly from the structured Excel inputs.

This automation eliminated the need for human intervention in a highly repetitive and error-prone task. By replicating human actions with speed and accuracy, the bots ensured end-to-end compliance with minimal supervision, drastically reducing the reporting cycle time.

The implementation was not only seamless but also future-ready, allowing for easy scalability to accommodate increasing mortgage volumes and additional compliance modules as needed.