Navi deploys AI across credit underwriting, fraud detection and customer operations
Founder Sachin Bansal says Navi is applying AI to underwriting, fraud, coding, support, marketing and feature engineering as it builds credit and insurance capabilities. The fintech cited ₹13,000 crore in AUM following a $100 million Prosus funding round.
What happened
Navi is deploying AI for credit underwriting, fraud detection, coding, customer support, marketing and feature engineering. Founder Sachin Bansal said the
Key facts
- $100 million
- ₹13,000 crore AUM
- Q4 FY26
- 1 billion people
- 2015
Why this matters
Navi’s AI rollout signals a fintech operating model that can tighten underwriting and fraud controls while lowering service and engineering costs as credit volumes scale.
What to watch
- Quarterly AUM growth versus changes in GNPA, net credit cost, provisions and collection efficiency.
- Evidence of lower customer-service cost, faster turnaround times or reduced fraud-loss ratios.
- Loan approval-rate changes by borrower segment and whether yields decline without deterioration in delinquencies.
- RBI guidance or enforcement involving digital lending, AI model governance, customer consent or data privacy.
- Expansion of insurance attach rates and repeat borrowing, indicating that AI is improving lifetime value rather than only loan originations.
Also reported by
- YourStory · Capital — Same time