Automated Compliance Monitoring AI for a Fintech Lender
The Challenge
Manual compliance review covered only 20% of loan applications and took 2–3 days per batch — creating significant regulatory risk and slowing the approval pipeline. The review team was a bottleneck: too expensive to scale proportionally with loan volume, and still unable to provide full coverage. With RBI guidelines evolving frequently, keeping human reviewers current added further training overhead.
Our Approach
Tequity designed an AI compliance engine trained on RBI lending guidelines, NBFC regulations, and the client's historical compliance decisions. The system analyzes each loan application against a structured rule set and a learned violation model, flagging issues with explainability scores that show exactly which regulation was triggered and why.
The engine integrates directly into the loan origination system, running compliance checks in under 30 seconds per application — before underwriters review, not after. All flags are routed to a compliance officer dashboard with risk-ranked queues, so human attention is focused on edge cases rather than routine checks.
The Results
Application coverage jumped from 20% to 100% from day one of launch. Twelve FTE-hours of daily manual review were freed up for exception handling and regulatory reporting. There have been zero compliance violations or regulatory flags since the system went live — compared to a previous average of several flags per quarter during sampling-based review.
