Industry: Financial Services
Solution Type: On-Premise Document Masking
Technology: AI / ML
Project Overview
A Leading Life Insurance company faced a significant compliance challenge: masking sensitive Aadhaar numbers across 20 crore multi-page documents within a tight 3-month deadline. Manual processing posed severe overheads, delayed operations, and increased the risk of non-compliance.
Our team designed and deployed an on-premise Aadhaar masking solution to automate this critical compliance process while maintaining data security and operational efficiency.
Objectives
- Mask Aadhaar numbers in millions of document pages securely
- Ensure 99%+ accuracy to comply with regulatory standards
- Achieve fast processing speeds without relying on GPUs
- Support diverse document formats including PDF, JPEG, PNG, and Base64
- Reduce server deployment and operational costs
Solution Highlights
High Throughput Automation
The solution currently processes 1.5 lakh documents daily and 1.5 crore documents per month for the past 7 months, drastically reducing manual intervention.
Accuracy & Compliance
Achieves 99.3% masking accuracy, fully compliant with regulatory protocols for handling sensitive Aadhaar data.
Performance
Inference speed of 10 milliseconds per page on standard CPU setups, eliminating the need for costly GPU resources.
Cost Optimization
Reduced server deployment costs by 45% without compromising performance or security.
Flexible Input & Output
Supports input formats such as PDF, JPEG, PNG, Base64, and output formats including JSON and XML.
Technical Approach
On-Premise Deployment
Ensures all sensitive data stays within the client’s secure infrastructure.
AI-Powered Masking
Leveraged deep learning-based OCR and data recognition models to detect and mask Aadhaar numbers accurately.
Batch Processing & Scalability
Designed for high-volume document processing with minimal human intervention.
Format-Agnostic Handling
Built to work seamlessly across multi-page PDFs, scanned images, and encoded documents.
Business Impact
Reduced Manual Effort
Automated a high-priority compliance workflow previously requiring extensive manual labor.
Enhanced Compliance
Fully meets regulatory requirements for handling Aadhaar data.
Cost Savings
Significant reduction in hardware expenses due to CPU-based processing.
Operational Efficiency
Fast, reliable processing ensures timely masking of millions of documents.
Conclusion
The Aadhaar masking solution demonstrates how AI-powered, on-premise document processing can improve compliance, reduce costs, and streamline operations for financial institutions. By combining high accuracy, speed, and format flexibility, the solution continues to deliver measurable value month after month.