Insurance

AutoClaims (Insurance Claim Triage)

An insurance company receives 500+ claims per day via email, web portal, and even fax.

The Problem (Before AI)

An insurance company receives 500+ claims per day via email, web portal, and even fax.
  • A human reads each email, opens attachments, decides if it’s collision, theft, or weather damage.
  • Then checks if police report, photos, and estimate are included.
  • If missing docs, they email the customer and wait… often 7 days.
  • Then assign to an adjuster based on zip code. Result: First response takes 3 days. Customers are angry. Staff is bored.

The AI Workflow (Step-by-Step)

StepWhat happensAI’s job
1Customer submits claim via email or portalAI reads subject line + attachment names
2System classifies claim typeAI trained on 10,000 past claims → outputs: collision / theft / weather / other
3AI extracts key fieldsPolicy number, date of loss,
location, description (using GPT
regex)
4Document completeness checkAI checks: is there a police report
PDF? At least 2 photos? Repair
estimate?
5If missing anything → auto-emailAI drafts a friendly email listing
exactly what’s missing + upload
link. No human.
6If complete → route to adjusterAI matches location to team (e.g.,
zip code 90210 → West region,
severe weather team)
7Returning customer checkAI queries database: same policy
number before? → flag previous
claim history for fraud review

Example Real Scenario

Customer submits: “My car was hit in the parking lot” with only one photo.
  • AI sees: no police report, only 1 photo.
  • Auto-email sent in 2 minutes: “Please upload the police report and 2 more photos showing damage from different angles.”
  • Customer uploads → AI verifies → claim moves to adjust the same day.

Results

MetricBeforeAfter
Time to first response3 days8 minutes
Missing docs resolution7 days4 hours
Staff time on triage40 hrs/week6 hrs/week
Fraud detection rateLow+35% (due to history check)
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