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Claim: Insurance

End-to-end claims processing — FNOL intake, document assessment, damage evaluation, and settlement recommendation.

Live system: End-to-end claims processing automation with multi-modal document and damage analysis. AI agents handle FNOL, assessment, and settlement in parallel.…

85% faster
Processing Time
70%
Straight-Through
96%
Accuracy
4.8/5
Customer Satisfaction
Free 20-min discovery + 48h ROI audit Production-grade, not a demo4 weeks to first value
✓
✓
✓
FNOL processing <5 minutes • Human adjuster review for complex claims • Borderline flagged
Why this vs status quo
Do nothing
85% faster lost
Manual Insurance
Build in-house
6–12 months
Hire + maintain
Claim
70%
Weeks, not months
FNOL Automation • Document Assessment
Save ~10×

What ships

  • FNOL Automation — AI-powered first notice of loss intake with natural language…
  • Document Assessment — LLM analysis of claim documents — police reports, medical re…
  • Damage Evaluation — Computer vision analysis of damage photos for automated asse…
  • Settlement Recommendation — AI-generated settlement recommendations with policy coverage…
  • Fraud Detection — Pattern-based fraud detection across claims history and subm…
  • Customer Communication — Automated status updates and personalized communication thro…

Human signs every critical step • Audit trail included

Sample output & architecture

Claim — Production Blueprint
Dated 18 Aug 2026 • #CLA-2026-041
Processing Time: 85% fasterStraight-Through: 70%Accuracy: 96%Insurance
Agents
FNOL Agent • Assessment Agent • Fraud Agent
Stack
Azure AI Foundry, Azure Computer Vision, Python, FastAPI
Workflow preview
1. FNOL Intake2. Document Collection3. Damage Assessment4. Policy Analysis
Data flow: FNOL Intake → Document Collection → Damage Assessment → Policy Analysis → Fraud Screening → Settlement Recommendation → Approval & Payment
Azure AI Foundry + LangChain • Azure AI Foundry provides multi-modal analysis for document v1.0 • Audit trail

Why Azure AI Foundry + LangChain wins

Azure AI Foundry provides multi-modal analysis for document and damage assessment. LangChain orchestrates complex claims workflows with approval gates.

Alternatives: Shift Technology + Custom ML, Tractable + LlamaIndex

How Claim works — Instant to first value

FNOL Intake → Document Collection → Damage Assessment → delivery. Full 8-step trail collapses below.

01 • Instant
FNOL Intake
Claim reported via phone, web, email, or mobile app.
02 • 1-3 days
Document Collection
AI guides claimant through required documentation.
03 • < 30 minutes
Damage Assessment
AI analyzes damage photos and repair estimates.
Full 8-step audit trail
1
FNOL Intake • Instant
Claim reported via phone, web, email, or mobile app.
2
Document Collection • 1-3 days
AI guides claimant through required documentation.
3
Damage Assessment • < 30 minutes
AI analyzes damage photos and repair estimates.
4
Policy Analysis • < 5 minutes
LLM analyzes policy coverage and applicable terms.
5
Fraud Screening • < 10 minutes
Automated fraud detection and investigation trigger.
6
Settlement Recommendation • < 15 minutes
AI generates settlement recommendation with justification.
7
Approval & Payment • 1-3 days
Settlement approved and payment processed.
8
Closure & Feedback • Post-resolution
Claim closed with customer satisfaction survey.

Which Insurance use case is yours?

Tap your model — see the exact hinge we test.

Auto Insurance Claims

Automate vehicle damage assessment and claims processing.

Do nothing
85% faster wasted
  • • Manual Insurance process
  • • No audit trail
  • • No evidence for inspector/investor
Build in-house
6–12 months • Hire team
  • • Hire + train + maintain
  • • No re-run if product changes
  • • Hard to show investor quickly
Claim — 70%
8 steps • Agents • Evidence
  • FNOL Automation
  • Document Assessment
  • Daily watch + re-run

Multi-agent mesh — orchestrated

Live system presentation

Claim · Agent Mesh

ORCHESTRATORInsuranceFNOLACTIVEAssessmentNODE 02FraudNODE 03SettlementNODE 04CommunicationNODE 0512345678
Step 1Instant

FNOL Intake

Claim reported via phone, web, email, or mobile app.

Multi-channel intakeInformation extractionClaim creationPriority assignment

Objections, answered

If it’s not answered, you’ll hesitate. So we answer it here.

End-to-end claims processing — FNOL intake, document assessment, damage evaluation, and settlement recommendation. Delivered as 5 specialized agents + 8-step workflow. You get FNOL Automation + Document Assessment and a dated evidence trail.
Production in 4 weeks • Audit trail

Get Claim live — without the Insurance drag.

End-to-end claims processing — FNOL intake, document assessment, damage evaluation, and settlement recommendation.… Implementation: FNOL Automation → Assessment System → Settlement Engine → Communication & Analytics.

Questions? Talk to a human • Responses in < 24h • Human signs every critical step

Evidence + audit trail•Azure AI Foundry + LangChain•Deterministic — LLM only for rationale