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AI Agent

Claimsight: Document-processing agent for claims

An agent that reads claims packets, extracts key details and prepares each file for an adjuster's decision.

Sector
Insurance
Typical client
Specialty insurer with a manual claims intake team
Typical timeline
16 weeks
Typical team
3 engineers, 1 AI lead
Document-processing agent extracting claim fields with reviewer approval
Claim file with extracted fields, decision history and full audit trail
Claims register showing automation level, confidence and handling state

About this project

Claims teams spend hours reading forms, invoices and photographs and re-typing the details. The work is slow and repetitive, yet it needs careful judgement at key moments.

The agent extracts structured data with a confidence score for each field and raises discrepancies for review. A handler makes every payment decision, supported by a complete audit trail.

Objectives

  • Remove manual keying from claims intake
  • Keep licensed adjusters in control of every decision
  • Provide source citations for each extracted field

What’s delivered

  • Extraction across PDFs, scans and emails
  • Policy-coverage lookup and missing-document checks
  • Adjuster review interface with field-level citations
  • Private cloud deployment and audit logging

Target outcomes

-60%

intake handling target

98%

field accuracy objective

100%

human-approved decisions

Every

field cited to its source

Technology

  • Claude
  • AWS Bedrock
  • Python
  • Temporal
  • PostgreSQL

Services involved

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