Evidence: Low40/100

Brillio Intelligent Claims Processing on AWS (Automated document extraction + damage detection)

Brillio built an AWS-based claims workflow for a large national insurer to automate claim intake, document extraction, image-based damage assessment, policy validation, and guided settlement recommendations. The solution normalizes unstructured submissions into structured records, scores confidence, routes exceptions to adjusters, and stores artifacts for auditability.

Industry
Insurance
Published
June 2026

Reported outcomes

Strategic outcomes

Speed & agilityAutomated claim intake and assessmentBetter decisions & insightImproved consistency of claim outcomesEmployee experienceFocused adjusters on exceptionsRisk & complianceImproved audit readiness
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
A large national insurer
Provider
AWS
Maturity
Unknown
Linked source
AWS Marketplace

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

  • 1Claims processing automation
  • 2Document extraction
  • 3Image analysis
Claims processing was slowed by manual intake, repeated re-keying, fragmented validation, subjective damage assessment, and limited traceability.
  • The workflow uses Amazon Bedrock and AWS native services to extract fields from documents, assess damage from photos, validate policy and business rules, generate settlement guidance, and route exceptions to human review.
  • Artifacts, extracted data, assessments, and decisions are stored with traceability for compliance and audits.
The insurer reduced time spent on intake and assessment, improved consistency of claim outcomes, increased adjuster productivity by focusing review on exceptions, and improved audit readiness.
Architecture

Brillio modernizes claims processing on AWS by automating claim intake, document understanding, damage assessment, and guided decision support within a controlled workflow. The solution uses Amazon Bedrock plus AWS Amplify, Amazon API Gateway, AWS Cognito, and AWS SDK to extract and normalize claim information from documents, assess damage from images, validate coverage using policy rules, generate confidence-scored settlement recommendations, and route exceptions to adjusters with supporting evidence stored for auditability and compliance.

Implementation partners1
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Technical implementation details available
Type: Case StudyPublished: Jun 1, 2026Publisher: AWS MarketplaceEvidence: VendorConfidence: Medium

AI-generated summary. Verify important details with the linked sources before relying on this case.

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