We made a visible and
measurable impact to our
client's business
Reduction in UPI GL reconciliation processing time
About the Client
A leading Public Sector Bank (PSU Bank) managing high-volume UPI transactions across India. The organization handles large-scale Person-to-Person (P2P) and Person-to-Merchant (P2M) payment reconciliations, requiring highly accurate, scalable, and time-sensitive financial processing operations.
With rapidly increasing digital payment volumes, the bank required a faster and more efficient reconciliation framework capable of improving operational accuracy while reducing manual effort and processing delays.
The Problem
The bank’s UPI GL Reconciliation (UPI GL Recon) process was heavily dependent on manual workflows, creating operational bottlenecks and reconciliation delays across critical financial operations.
As transaction volumes scaled, the organization faced several challenges:
- Processing nearly 40 lakh transaction records daily from NPCI and ARCOS
- Manual reconciliation through Excel-based workflows increasing operational complexity
- High dependency on manual intervention leading to reconciliation errors
- Reconciliation cycles taking nearly 8 hours to complete
- Requirement of 6 FTEs to manage daily reconciliation activities
- Delays in final General Ledger (GL) reconciliation and reporting
- Limited scalability to support growing UPI transaction volumes
The client required an intelligent automation solution capable of accelerating reconciliation processes while improving accuracy, scalability, and operational efficiency.
Our Approach
Lauren designed and implemented an automation-driven UPI GL Reconciliation solution to streamline high-volume financial reconciliation operations.
The solution leveraged Robotic Process Automation (RPA), database automation, and SSIS-driven workflows to automate end-to-end reconciliation activities across P2P and P2M transactions. This enabled:
- Automated ingestion and reconciliation of transaction files
- Faster processing of large-scale transaction volumes
- Reduced manual dependency across reconciliation workflows
- Improved accuracy and consistency in GL reconciliation
- Automated generation of MIS reports and GL worksheets
Our Development Process
Key Capabilities Delivered:
- Automated extraction and reconciliation of P2P & P2M transaction files from NPCI and ARCOS
- Implemented SSIS jobs to process and manage 40 lakh+ daily transaction records
- Automated data insertion and workflow execution using Automation Anywhere A360
- Eliminated manual reconciliation activities to improve operational efficiency
- Accelerated GL reconciliation and reporting timelines
- Reduced Excel-based reconciliation dependency and associated manual errors
- Improved reconciliation accuracy and processing consistency
- Built a scalable automation framework to support future transaction growth
Tech Stacks Used
Automation Anywhere A360
MS SQL
SSIS Jobs
The Result
Lauren enabled the bank to successfully modernize and accelerate its UPI GL reconciliation operations through intelligent automation, significantly improving processing efficiency and operational accuracy.
The organization achieved:
- 75% reduction in reconciliation processing time
- Reduced reconciliation duration from 8 hours to 2 hours
- Automated processing of 40 lakh+ daily transaction records
- Elimination of manual reconciliation errors and inconsistencies
- Improved speed and accuracy of GL reconciliation reporting
- Reduced operational dependency on manual processes
- Freed up 6 FTEs to focus on strategic and higher-value operational tasks
- A scalable and future-ready reconciliation framework built to support growing digital payment volumes