Turn FNOL forms, medical records, police reports, loss runs and invoices into validated data with Textract, Bedrock Data Automation or models on Bedrock, with human review where confidence is low and an audit trail regulators can follow.
4–8 weeks
$20k–$60k
Insurers and MGAs retype documents all day. We build a document pipeline on AWS that classifies, extracts and validates them, routes uncertain cases to people, and records what happened. We start with the document type that costs you the most time and expand from there.
Pick the first document class with your claims or underwriting team and label a few hundred real examples
Compare Textract, Bedrock Data Automation and model-based extraction on that set, on accuracy and cost per page
Build the pipeline: intake, classification, extraction, validation, review, and hand-off to your systems
Set confidence thresholds per field with your team, and start with review of everything
Add AI governance records: model inventory entry, test results and decision logs
A production pipeline in your AWS account, defined in code, with accuracy reports per field and a plan for the next document types
Tell us about your current environment and goals. We'll review the details and respond with a proposed engagement structure and timeline.
Typical response time: 1–2 business days.
Prices and timelines are estimates for typical engagements, not offers. Scope, price and terms are set in a written agreement after we understand your situation. Terms of use.