Insurance PlatformConceptClaimpath
Claims intake, assessment and settlement for insurers, with explainable AI.
A motor claims platform: in-app claim reporting, AI damage estimates, triage routing, adjuster workspaces, explainable fraud signals and settlement.
- Category
- Insurance · Claims Platform
- Designed for
- Web
Why Claimpath exists
The problem
Insurance claims stall in inboxes and phone queues, simple claims wait as long as complex ones, and fraud checks are slow and opaque.
The product
Claimpath captures claims digitally, suggests estimates and routes with explainable AI, and settles simple claims straight through.
Built for: Insurers, MGAs, brokers and third-party administrators.
- In-app claim reporting with photos and video
- Automatic cover and policy checks
- AI damage estimates with confidence scores
- Triage routing including straight-through settlement
- Explainable fraud signals with human review
- Adjuster workspace, timeline and settlements
Walkthrough
Every Claim On The Right Path
Triage first: simple claims settle fast, complex ones reach the right expert.
- 01
Claims Overview
Volumes, time to settle, straight-through rate and claims by stage.
- 02
Triage Queue
New claims with AI estimates, fraud signals and suggested routes.
- 03
Claim Workspace
Damage photos, estimate, timeline and customer messages.
- 04
Fraud Review
Reasons for referral and linked entities across claims.
Every screen
The full experience.
What makes it different
Explainable By Design
Every AI estimate, route and fraud signal shows its reasons, and no claim is declined without a person reviewing it.
Digital Intake
Photos, video and documents in the app.
AI Estimates
Repair cost ranges with confidence.
Smart Routing
Straight-through, repairer or adjuster.
Fraud Review
Explainable signals, human decisions.
How it’s built
The technology stack.
The architecture we would build this on today, and why each piece earns its place.
- Web app
Next.js, React, TypeScript, Tailwind CSS
Review queues and dashboards that stay fast with thousands of items
- AI services
Python (FastAPI) · Claude via the Anthropic API with tool use
Strong reasoning and structured tool calls, isolated from the core API
- Tools & integrations
Model Context Protocol (MCP) servers
One standard way for agents to reach business systems, with scoped permissions
- Durable workflows
Temporal
Long-running, multi-step AI work that survives restarts and waits for approvals
- Knowledge & memory
PostgreSQL + pgvector
Retrieval over approved sources without a separate vector database
- Vision
Damage-detection model with human-labelled feedback loop
Estimates improve as adjusters correct them
- Graph analysis
PostgreSQL with recursive queries for entity links
Shared phones, vehicles and addresses spotted across claims
- Evaluation & tracing
Versioned eval suites, OpenTelemetry traces, cost tracking
Every prompt or model change is tested before release and every run is explainable
More inside
From First Notice To Settlement.
How adjusters, fraud teams and managers work through the claims book.
Repair Network
Approved repairers, quotes and repair progress.
Settlements
Payments, excess handling and recoveries.
What comes next
On the roadmap.
What a second release would add once the first one is in real users’ hands.
- 01Home and travel claims
- 02Broker portal
- 03Subrogation and recoveries
- 04Telematics and dashcam integration
- 05Customer satisfaction analytics
Concept project
Need Something Like This?
This is concept work: the product design, screens and architecture we would start from. If your business needs insurance or claims software, we can scope a first release with you, usually within a week.
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