What challenges did Anthem face before AI implementation?

Health insurance claims required manual extraction of sensitive information from forms and attachments. The manual process took about 20 minutes per claim and was labor intensive.

What was the impact of the AI solution?

Anthem automated 80% of its claims-processing workflow. The company expects to reach 90% automation or higher. The process now helps extract and digitize data to quickly process thousands of claims each day.

Rank#1,666of 3,449

Source

Evidence: Medium50/100

Anthem Enables Intelligent Claims Processing Using Amazon Textract

Use case typeClaims automationUpdated Jul 16, 2026

Anthem used Amazon Textract to digitize and automate claims processing for submitted medical claim documents. The solution extracts printed text, handwriting, tables, and forms from scanned documents and classifies them into a digital-processing workflow.

Organization: Anthem
Industry: Insurance
Location: United States
Published: July 2026

Reported outcomes

+80%

claims-processing workflow automatedAutomation & deflection

+90%claims-processing workflow expected to be automated

Strategic outcomes

Cost efficiencyReduced manual claims laborScale & capacityProcesses thousands of claims each day

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Claims-processing workflow automated: 80% increase

AWS Solutions LibraryJul 16, 2026Customer storyExplicit claimMedium evidence strength

Automated 80% of its claims-processing workflow

Normalized claim

Claims-processing workflow expected to be automated: 90% increase

AWS Solutions LibraryJul 16, 2026Customer storyExplicit claimMedium evidence strength

Expects to reach 90% automation or higher on AWS

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Anthem
Provider: AWS
Maturity: Unknown
Linked source: AWS Solutions Library

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

1Claims automation
2Document processing automation

Health insurance claims required manual extraction of sensitive information from forms and attachments.
The manual process took about 20 minutes per claim and was labor intensive.

Anthem used Amazon Textract, a fully managed machine learning service, to automate claims processing.
After providers submit documents through Anthem's portal, the documents enter a data store and are sent to a digital-processing function powered by Amazon Textract.
Amazon Textract uses optical character recognition to extract the data and machine learning to index and classify each document.

Technologies

Amazon Textract

Anthem automated 80% of its claims-processing workflow.
The company expects to reach 90% automation or higher.
The process now helps extract and digitize data to quickly process thousands of claims each day.

Architecture

Medical provider documents flow from Anthem's provider portal into a data store and then into a digital-processing function powered by Amazon Textract. Textract performs OCR, table/form detection, extraction, indexing, and classification before the processed claim is made available to stakeholders.

Sources & evidence1

Evidence: Medium50/100Evidence strength