What was the impact of the AI solution?

Enabled scalable, accurate, and customizable document processing workflows. Helped transform unstructured multimodal documents into actionable structured data. Reduced manual effort and improved the efficiency of data extraction processes at scale.

Source

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

Use case typeIntelligent document processingUpdated Jun 13, 2026

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.

Organization: Various enterprise customers
Industry: Professional Services
Location: United States
Published: July 2025

Reported outcomes

Strategic outcomes

Scale & capacityScaled document processing workflowsNew product / capabilityTransformed documents into structured dataCost efficiencyReduced manual effort in extractionNew product / capabilityAdded advanced document analysis features

Primary read

Use case focus

Showing 2 of 2

1Intelligent Document Processing
2Document Automation

Large volume of unstructured documents requiring extraction of structured data for business processes across industries.

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.

Technologies

Amazon Bedrock Data Automation Amazon Textract AWS Step Functions Amazon ECS Amazon Cognito

Enabled scalable, accurate, and customizable document processing workflows.
Helped transform unstructured multimodal documents into actionable structured data.
Reduced manual effort and improved the efficiency of data extraction processes at scale.

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

Groundedness: 3/5

Primary source

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Customer evidence