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auto insurance FNOL — claim photos and adjuster queue

Elevator pitch Streamline first-notice-of-loss processing with instant photo capture, damage assessment, and intelligent adjuster routing.

Industry Auto Insurance Claims Management

Problem

  • Manual photo collection delays claim intake by hours or days.
  • Adjuster workload imbalance causes inconsistent response times and customer frustration.

Solution

  • Claimants upload damage photos instantly; AI pre-screens for completeness and relevance.
  • Smart queue distributes claims by adjuster availability, expertise, and geographic proximity.

Tools

  • photo-intake: Accept image uploads, validate damage visibility, extract metadata (timestamp, location).
  • damage-classifier: Categorize claim severity and damage type from photos; flag fraud signals.
  • adjuster-router: Match claims to available adjusters by workload, skills, and service area.
  • claim-summarizer: Generate intake summary from photos and claimant data for adjuster review.

Widgets

  • /claim-intake: Mobile-friendly photo upload, location capture, claimant contact form.
  • /adjuster-dashboard: Real-time queue view, claim priority, photo gallery, assignment controls.

Conversation starters

  • "How can I reduce our average FNOL-to-assignment time from 4 hours to 30 minutes?"
  • "What fraud indicators should we flag automatically when reviewing claim photos?"
auto insurance FNOL — claim photos and adjuster queue — MCP App by aiv0ra Gravity | NitroStack | NitroStack