Client Overview
- Industry: Fintech
- Location: India
- Service Type: Lending, personal finance, MSME loans
- Project Scope: End-to-end AI-powered lending automation platform
The Challenge: Manual Loan Screening Slowed Down Growth
Like many fast-growing fintech players, our client—a mid-sized Indian lending firm—was struggling to scale operations while maintaining approval accuracy and compliance.
Their traditional process involved:
- Manual document verification
- Human-led credit scoring using Excel sheets
- Inconsistent fraud detection
- High turnaround times (TATs)
Key Issues Identified:
- Approval times exceeding 48 hours
- High processing error rate (estimated at 12%)
- Poor lead-to-loan conversion (~18%)
- Manual KYC bottlenecks with compliance risks
- Poor user experience and applicant drop-offs
The client needed a digital transformation and fast.
Our Solution: AI-Based Lending Automation Engine
Our data science and AI team built and deployed a custom AI-powered lending automation platform tailored to the client’s needs.
Core Modules Developed:
1. AI Credit Scoring Model
Trained on over 100,000 anonymized historical loan applications to predict:
- Repayment probability
- Risk levels
- Suggested loan amounts and interest rates
The model factored in:
- Credit bureau data
- Income trends
- Transaction patterns
- Alternate data sources (e.g., mobile usage, utility bills)
2. Automated KYC and Document Verification
We integrated OCR and face recognition to instantly verify:
- PAN, Aadhaar, Voter ID
- Bank statements
- Employment letters
Live photo + ID match ensured eKYC completion within 30 seconds.
3. Real-time Fraud Detection Engine
Using anomaly detection and geo-verification, the AI flagged:
- Suspicious identities
- Repetitive IP logins
- Tampered documents
This reduced fraud risk by over 60%.
4. API-Ready Decision Engine
We built a scalable backend that allowed instant integration with:
- Lending apps
- CRM and LOS (Loan Origination System)
- Payment gateways
- Credit bureaus (CIBIL, CRIF)
Results Achieved
We never imagined we could approve a loan in 10 minutes until we saw it in action.” – CTO, Client Organization
Ipact in Numbers:
- 70% reduction in average approval time (from 48 hours to 14 minutes)
- 30% increase in application-to-loan conversion rate
- 90%+ accuracy in KYC document recognition
- 12x faster fraud detection capability
- Fully automated decisioning for 85% of loans