Build self-improving document processing using Amazon Bedrock AgentCore
Learn how to build an agentic intelligent document processing (IDP) system using Amazon Bedrock AgentCore that classifies, extracts, validates, and learns from business documents with minimal human intervention, automatically handling new document formats without manual template configuration.
Document processing costs organizations billions annually and reduces productivity. Template-based IDP solutions struggle with layout variations across vendors. Amazon Bedrock AgentCore offers a solution using agentic AI agents to classify, extract, validate, and learn from business documents with minimal human intervention. The solution comprises eight specialized agents working together on a graph-based workflow in Amazon Bedrock AgentCore.
The identification workflow uses Amazon Textract to extract text and identify document types, while the matcher agent searches for similar documents using vector embeddings in Amazon S3. The training workflow handles new document types by generating extraction prompts, extracting structured data, and validating results. The automation workflow processes known document types by using existing instructions and only fixing validation failures.
Agents securely access AWS resources and monitor status through a chat-enabled dashboard. To deploy the solution, an AWS account, access to Amazon Bedrock and AgentCore, AWS CDK, Docker, Python 3.11+, and Node.js 18+ are required.
Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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