Lauren Logo
Implementation of BOT for enhancing bank’s reconciliation process
IndustryBanking & Financial Services
ServicesRPA

We made a visible and measurable impact to our client's business

Reduced reconciliation time from 400 hours to 20 hours per cycle

95% reduction

Saved 16,775 man hours annually

16,775

Achieved an ROI of

₹2.17 crore

About the Client

A leading financial institution struggling with a time-consuming and error-prone reconciliation process. Their objective was to improve accuracy, reduce manual effort, and increase operational efficiency.

The Problem

The bank's manual reconciliation process was highly inefficient, taking over 400 hours per cycle. Frequent errors delayed financial operations and compromised decision-making. Previous attempts to streamline the process using traditional methods failed due to system limitations and lack of automation.

Our Approach

We implemented a Robotic Process Automation (RPA) solution to automate the reconciliation process. Our bots matched data from bank statements with the Oracle EBS system, eliminating manual effort and improving accuracy. The solution was tailored to the bank’s unique financial workflows, ensuring seamless integration and minimal disruption.

Tech Stacks Used

RPA Platform

RPA Platform

Oracle EBS

Oracle EBS

The Result

  • Reconciliation time reduced by 95% (400 hours to 20 hours per cycle)
  • ₹2.17 crore ROI achieved
  • 16,775 hours saved annually
  • Improved financial accuracy and operational efficiency

Let's Work Together

Whether it's to discuss your next project, learn more about our services, or join our team, drop us a line and get the conversation started.