From months to hours: NPA portfolio evaluation with semantic AI.
Retail NPA evaluation that used to constrain bidding speed now ships with its own justification — traceable to regulation, precedent, and the account itself.
Months of work to bid on a portfolio.
Retail NPA portfolio evaluation took months — constraining competitive bidding speed. The process required manual segmentation, regulatory compliance checks across SARFAESI and DRT, and analysis spanning legal, technical, field-ops, and executive disciplines. Analyst subjectivity introduced inconsistency. Key-person risk compounded with every senior departure.
Semantic reasoning, end to end.
A semantic reasoning layer combining ML for bulk scoring with a knowledge graph for regulatory interpretation and edge-case handling. The AI agent synthesises historical data, legal heuristics, and institutional knowledge — producing an auditable reasoning trail behind every bid rationale.
What changed in production.
“The investment committee didn't ask us to justify the number. For the first time, the number came with its own justification — traceable to regulation, to precedent, to the account itself.”
Post-deployment reflection
Bid faster. Defend the number.
Auditable, regulator-grade AI for portfolio evaluation, risk, and compliance — without sacrificing speed.