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auto insurance FNOL — claim photos and adjuster queue

Auto Insurance FNOL Photo Intake & 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 processing by hours or days.
  • Adjusters lack visibility into incoming claims severity and priority.

Solution

  • Claimants submit damage photos immediately via mobile; AI extracts damage type and severity.
  • Claims auto-route to available adjusters based on workload, expertise, and claim complexity.

Tools

  • photo-analyzer: Extracts damage type, severity score, vehicle part from image (returns structured damage data)
  • claim-router: Assigns claims to adjusters by availability, specialization, and queue depth (returns adjuster ID + ETA)
  • damage-classifier: Categorizes impact severity (minor, moderate, total loss) from damage report (returns risk tier)
  • adjuster-availability: Queries real-time adjuster workload and location (returns queue metrics)

Widgets

  • /claim-intake: Mobile photo upload, damage preview, claim summary submission
  • /adjuster-dashboard: Incoming queue, claim cards ranked by severity, one-click assignment

Conversation starters

  • "How do I set up automatic routing rules based on claim type and adjuster specialty?"
  • "Can the system detect if a vehicle is a total loss from photos alone?"
auto insurance FNOL — claim photos and adjuster queue | NitroStack | NitroStack