We made a visible and
measurable impact to our
client's business
Reduction in AEPS processing time through automation
Improvement in operational efficiency
About the Client
The National Payments Corporation of India (NPCI), a critical organization within India’s digital financial infrastructure, manages the Aadhaar Enabled Payment System (AEPS) supporting high-volume financial transactions across the banking ecosystem.
As transaction volumes continued to grow, NPCI required a faster and more reliable processing framework capable of improving operational efficiency, reducing manual intervention, and ensuring transaction accuracy across recurring processing cycles.
The Problem
NPCI’s existing AEPS processing workflows relied heavily on manual operations, creating inefficiencies and delays across daily transaction processing activities.
Key Challenges:
- AEPS processing required an entire day of manual effort
- Multiple daily processing cycles increased operational workload
- Manual calculations increased the risk of processing inaccuracies
- Delays in transaction processing impacted operational responsiveness
- Existing workflows lacked scalability for growing transaction volumes
- High dependency on manual intervention reduced operational efficiency
The organization required an intelligent automation solution capable of accelerating AEPS processing, reducing errors, and supporting large-scale transaction operations efficiently.
Our Approach
Lauren Group developed an automated RPA-based processing framework designed to streamline AEPS transaction handling and eliminate manual operational bottlenecks.
Key Initiatives:
- Automated retrieval of AEPS raw transaction files directly from the NPCI portal
- Built rule-based automation workflows for transaction calculations and processing
- Configured automated processing cycles aligned with NPCI operational schedules
- Eliminated manual intervention across recurring processing activities
- Improved transaction processing accuracy and operational consistency
- Enabled scalable automation for high-volume financial transaction management
Our Development Process
- Automated File Retrieval - Enabled secure and automated downloading of AEPS transaction files - Reduced dependency on manual data collection workflows
- Transaction Processing Automation - Automated transaction calculations and reconciliation workflows - Streamlined three daily processing cycles with minimal human intervention
- Schedule-Based Workflow Optimization - Configured automation workflows aligned with NPCI operational timelines - Improved consistency and reliability across recurring processes
- Accuracy & Efficiency Enhancement - Reduced processing errors through rule-based automation - Improved operational efficiency and transaction turnaround times
Tech Stacks Used
RPA Platform
AEPS Processing Framework
The Result
- Reduced AEPS processing time from one full day to one hour per cycle
- Improved operational efficiency by 90% through intelligent automation
- Eliminated manual processing errors and improved transaction accuracy
- Streamlined recurring transaction workflows across multiple processing cycles
- Enhanced scalability for growing AEPS transaction volumes
- Improved reliability and consistency in financial operations