Claims automation
Intake through settlement with straight-through processing and intelligent routing.
Industry · Insurance
We build AI that transforms insurance operations — automated claims processing, intelligent underwriting, fraud detection, document intelligence, and risk assessment for P&C, health, and life carriers with regulatory compliance and explainability.
Insurance AI requires actuarial domain expertise, multi-jurisdiction compliance, explainable decisions, and processing of ACORD forms, loss runs, and medical records. We've automated claims end-to-end and built fraud systems that catch organized rings.
Intake through settlement with straight-through processing and intelligent routing.
Graph analysis, anomaly detection, and document forensics before payout.
Risk models with documented factors for regulators and policyholders.
ACORD forms, loss runs, medical records — extract, classify, validate.
Use cases for P&C, health, and life carriers at production scale.
End-to-end processing — intake, extraction, coverage verification, damage assessment, and payment routing.
ML detecting staged accidents, provider fraud rings, and suspicious claim behaviors.
Risk assessment, pricing optimization, portfolio analysis with explainable decisioning.
ACORD forms, loss runs, medical records, police reports — OCR, NLP, validation.
Renewal prediction, cross-sell, CLV, lapse prevention, and book-of-business analysis.
AI assistants for adjusters and underwriters — summarization, coverage analysis, correspondence.
Claims, mobile, and document AI with measurable carrier outcomes.
Multi-modal claims pipeline — vision transformers, NLP classification, and fraud scoring. 11 days → 3.5 days.
Mobile-first claims — AI photo damage assessment, guided capture, straight-through processing.
Policy and contract analysis — clause extraction, risk flagging, and comparison against standard terms.
Production AI capabilities we bring to every industry engagement.
Automates intake, validates documents via OCR/NLP, detects fraud in real time, routes to adjusters, and recommends settlements — 91% straight-through and 14 to 3 day cycle times.
Yes — ML analyzes claim patterns, provider networks, and document forensics to flag fraud before payout, catching rings that rules-based systems miss.
Explainable AI with documented decision factors, fair pricing monitoring, model risk management, and NAIC-aligned audit trails.
Claims automation: 4–6 months. Fraud detection: ~3 months. Underwriting AI: 6–9 months with 20–30% better loss ratios long-term.
Tell us about your use case — we'll design a compliant solution with clear ROI projections.