Industry · Insurance

AI for 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.

91%STP rate
14→3dClaim cycle
68%Faster claims
$1.1MSavings
Industry context

AI that understands insurance

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.

01

Claims automation

Intake through settlement with straight-through processing and intelligent routing.

02

Fraud prevention

Graph analysis, anomaly detection, and document forensics before payout.

03

Explainable underwriting

Risk models with documented factors for regulators and policyholders.

04

Document intelligence

ACORD forms, loss runs, medical records — extract, classify, validate.

Use cases

Where insurance AI delivers

Use cases for P&C, health, and life carriers at production scale.

Claims

Claims Automation

End-to-end processing — intake, extraction, coverage verification, damage assessment, and payment routing.

  • 91% straight-through
  • Intelligent routing
  • Settlement AI
Fraud

Fraud Detection

ML detecting staged accidents, provider fraud rings, and suspicious claim behaviors.

  • Graph analysis
  • Anomaly detection
  • Document forensics
Underwrite

Underwriting AI

Risk assessment, pricing optimization, portfolio analysis with explainable decisioning.

  • Alternative data
  • Appetite management
  • Fair pricing
Docs

Document Intelligence

ACORD forms, loss runs, medical records, police reports — OCR, NLP, validation.

  • Multi-modal
  • Confidence scoring
  • HITL review
Policy

Policy Analytics

Renewal prediction, cross-sell, CLV, lapse prevention, and book-of-business analysis.

  • Propensity models
  • Retention AI
  • Portfolio insights
Copilot

Adjuster Copilots

AI assistants for adjusters and underwriters — summarization, coverage analysis, correspondence.

  • Claim summaries
  • Policy compare
  • Draft responses
01How does AI improve claims processing?

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.

02Can AI reduce insurance fraud?

Yes — ML analyzes claim patterns, provider networks, and document forensics to flag fraud before payout, catching rings that rules-based systems miss.

03How do you handle regulatory compliance?

Explainable AI with documented decision factors, fair pricing monitoring, model risk management, and NAIC-aligned audit trails.

04What's the ROI timeline?

Claims automation: 4–6 months. Fraud detection: ~3 months. Underwriting AI: 6–9 months with 20–30% better loss ratios long-term.

Next step

Ready to build insurance AI?

Tell us about your use case — we'll design a compliant solution with clear ROI projections.