Paisalo Digital: Company Launches AI-Powered Customer Profiling and Fraud Detection System
Paisalo Digital has unveiled an advanced AI-powered customer profiling and fraud detection framework to enhance its credit risk management ecosystem. The system treats every customer, guarantor and co-borrower as distinct financial identities while detecting duplicate identities and monitoring exposure limits. The technology integrates with GenAI-based calling systems across secured and unsecured lending verticals including MicroLAP, income generation loans and MSME financing.

*this image is generated using AI for illustrative purposes only.
Paisalo Digital , a systemically important non-deposit taking NBFC, has unveiled an advanced AI-powered customer profiling and fraud detection framework to strengthen its credit risk management ecosystem on December 11, 2025. The new system is designed to enhance underwriting accuracy, mitigate fraud and enable more reliable lending decisions for underserved customers across semi-urban and rural India.
Advanced AI-Driven Assessment Framework
Under the new system, every customer, guarantor and co-borrower is assessed as a distinct financial identity. The AI engine detects duplicate identities, monitors cumulative exposure limits and flags high-risk patterns. This approach provides greater transparency into borrower histories and helps prevent overlapping liabilities that could otherwise compromise repayment capacity or signal concerns about loan intent.
| System Features: | Details |
|---|---|
| Assessment Scope: | Every customer, guarantor and co-borrower as distinct identity |
| Detection Capabilities: | Duplicate identities, cumulative exposure limits |
| Risk Management: | High-risk pattern flagging and prevention |
| Target Market: | Underserved customers in semi-urban and rural India |
Integration with GenAI Technology
The framework comes alongside the rollout of Paisalo Digital's GenAI-based calling system, an automated platform that enhances the loan recovery process and borrower communication. The system will be integrated across Paisalo Digital's secured and unsecured lending verticals, including:
- Micro Loan Against Property (MicroLAP)
- Income Generation Loans
- MSME financing
Dynamic Customer Scoring Capabilities
The technology enables dynamic customer scoring by analysing multiple data parameters, including repayment behaviour, asset ownership, demographic attributes, income stability, bank transactions and collateral linkages. This approach enables tailored lending decisions without compromising financial inclusion goals.
| Scoring Parameters: | Coverage |
|---|---|
| Repayment Behaviour: | Historical payment patterns |
| Asset Ownership: | Property and asset verification |
| Demographics: | Customer profile attributes |
| Income Stability: | Earnings consistency analysis |
| Bank Transactions: | Financial activity monitoring |
| Collateral Linkages: | Security assessment |
Management Commentary
Commenting on the initiative, Santanu Agarwal, Deputy Managing Director, Paisalo Digital, said, "AI-driven risk assessment is not just a technological milestone for us, it reinforces the foundation of responsible lending. By treating each customer, guarantor and co-borrower as a distinct identity, our system ensures fairness in decision-making, transparency in evaluation and early detection of risky patterns. It reflects our commitment to strong governance and prepares us for the next era of digital credit, where intelligence and accuracy will define industry leadership."
Market Context and Strategic Positioning
The launch comes at a time when India's financial services landscape is rapidly evolving, and digital risk-assessment tools are becoming indispensable for secure and scalable lending. With growing demand for secured and small-ticket credit, robust fraud-prevention mechanisms are crucial to sustaining long-term growth and maintaining customer trust.
Historical Stock Returns for Paisalo Digital
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| +0.11% | -3.85% | +6.71% | +19.25% | -33.31% | +47.15% |
















































