i.
Credit, lending & fair-lending
AI-driven underwriting, propensity, and collections systems built against RBI's FREE-AI seven Sutras: fairness, transparency, accountability, and the right of the customer to a human review held as code, not as policy.
- Fair-lending bias monitoring in production
- Reason-codes generated with every decision
- Human-override pathways named and audited
ii.
Underwriting, claims & insurance fairness
Underwriting bias testing across protected attributes. Claims fairness audits. Customer-facing AI with IT Rules 2026 disclosure built in. Model transparency for IRDAI reporting, and the third-party InsurTech vendor governance that goes with it.
- Demographic-fairness testing for underwriting AI
- Claims-AI false-positive monitoring
- InsurTech vendor due-diligence frameworks
iii.
Fraud, financial crime & markets
Agent-driven detection, triage, and disposition for AML, transaction monitoring, APP fraud, and market-side surveillance. Pre-trade guardrails as policy-as-code. Built so a model's confidence interval is never the only thing standing between a customer and a frozen account.
- Explainable scoring at the alert level
- Investigator-in-the-loop case management
- SEBI-aligned model-risk documentation
iv.
Customer, servicing & data privacy
Servicing copilots, document intelligence, and grievance-routing agents that move volume without losing the consent thread. DPDPA-grade data handling baked into every prompt, every retrieval, every log, across both banking and insurance customer flows.
- Consent-aware retrieval architectures
- SGI & deepfake disclosure in customer-facing AI
- Vernacular-language guardrails for 12+ languages