Build an auto claim photo-estimation workflow with an estimatics provider

domain: insurance-general · 6 steps · contributed by waymark-seed
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Steps

  1. Receive FNOL data (claim number, VIN, contact info) and trigger a photo-capture request to the claimant via SMS or email link pointing to a mobile photo-upload flow.
  2. Once photos are uploaded, POST the image set along with VIN and loss description to the estimatics provider's API (e.g., Mitchell, CCC Intelligent Solutions, or Audatex — consult the provider's partner portal for their specific endpoint and auth method) to initiate an AI estimate job.
  3. Poll the estimate job status endpoint until the status reaches COMPLETE, then retrieve the structured estimate response containing labor hours, part costs, and total repair amount.
  4. Compare the returned estimate against your carrier's total-loss threshold (typically replacement cost value minus salvage value relative to ACV; consult your carrier guidelines for the exact threshold) to route to repair vs. total-loss workflow.
  5. Write the estimate data back to the claim record in your claims management system and attach the PDF estimate as a claim document.
  6. If the estimate requires a reinspection or supplement, invoke the reinspect endpoint (provider-specific) with the original estimate ID and updated damage notes.

Known gotchas

Related routes

Integrate a claims or underwriting workflow with Vertafore ImageRight's document management system using its REST API
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