Scaled productionEvidence: Low40/100

Intelligent Document Processing at Scale with Generative AI and Amazon Bedrock Data Automation

Various enterprise customers across multiple industries such as finance, legal, and customer service are using Amazon Bedrock Data Automation to extract structured information from unstructured documents like contracts, financial statements, and emails. The solution uses Amazon Bedrock Data Automation, Amazon Textract, AWS Step Functions, and Amazon ECS to automate document processing workflows at scale. It supports multimodal documents and provides advanced features like named entity recognition, sentiment analysis, and complex attribute extraction.

Published
July 2025
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Various enterprise customers
Provider
AWS
Maturity
Scaled Production

The solution uses Amazon Bedrock Data Automation, Amazon Textract, AWS Step Functions, and Amazon ECS to automate document processing workflows at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

  • 1Intelligent Document Processing
  • 2Document Automation
  • Developed an end-to-end intelligent document processing (IDP) application leveraging Amazon Bedrock Data Automation as the main processing engine.
  • Orchestrated workflows with AWS Step Functions and provided user interaction via a containerized web application on Amazon ECS.
  • Supported multiple parsing modes including Bedrock Data Automation, Bedrock foundation models, and Textract OCR for flexibility and regulatory needs.
Architecture

Architecture utilizes Amazon Bedrock Data Automation for core data extraction, AWS Step Functions for workflow orchestration, Amazon ECS for UI hosting, Amazon Cognito for authentication, and integration with Amazon Textract for OCR.

Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
Type: Blog PostPublished: Jul 11, 2025Publisher: AWS Machine Learning BlogEvidence: VendorConfidence: Medium

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

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