Forms, prescriptions, FIRs, hospital bills, repair estimates. Every claim is a 30-page bundle of mixed-quality scans.
Underwriters drown in document review. AI that pre-scores, flags exceptions, and drafts decisions reclaims weeks of throughput.
Insurance fraud is patterned but adversarial. Models drift; rules go stale; agent rings get sophisticated.
Field agents need fast quote, fast eligibility, fast issuance — on entry-level Android, in vernacular.
OCR + LLM extraction across 20+ doc types, severity scoring, auto-routing to fast-track or manual queues. Audit-ready evidence packs.
Document review, risk-rule application, exception flagging, decision drafting. Underwriter stays in the loop, but does 3× the volume.
Network-pattern detection, document-tampering signals, agent-ring identification. Drift-monitored, regularly retrained.
Flutter apps for field agents — fast quote, eligibility lookup, issuance, claim filing. Multilingual, offline-first.
AI claims-intake on motor + health portfolios. 47% cycle-time reduction, 0 IRDAI-flagged misclassifications across 90 days.
Document review + risk-rule application + decision drafting. Underwriter throughput up 3.4× with no increase in loss ratio.
Yes. Our delivery process maps to IRDAI's outsourcing and AI-usage guidelines. Audit logs, model explainability, and human-in-loop are defaults, not extras.
Drift monitoring on every signal, monthly retraining cycles, and an exception-review queue routed to senior fraud officers. We treat fraud as a moving target, not a model.
Yes — Flutter, sub-50MB install, offline-first sync. Designed for field-agent realities (2G, vernacular, low-literacy users).