Build self-improving document processing using Amazon Bedrock AgentCore
- Who
- AWS
- What
- explains how to build and deploy a self-improving multi-agent document processing system using Amazon Bedrock AgentCore
- Quote
In this post, you learn how to build an agentic IDP system using Amazon Bedrock AgentCore that classifies, extracts, validates, and learns from business documents with minimal human intervention.
What happened
AWS explains how to build a document processing system using Amazon Bedrock AgentCore and eight specialized agents that classify documents, extract data, validate results, and save refined extraction instructions for reuse. In its purchase order example, processing takes 3 minutes 49 seconds for an unfamiliar format and 1 minute 30 seconds for a subsequent document using stored instructions. The guide includes deployment steps and explains how to customize schemas, validation logic, and prompts.
The story so far
AWS published a guide to building and deploying a document processing system with Amazon Bedrock AgentCore that uses eight specialized agents to classify documents, extract data, validate results, and save refined extraction instructions for reuse. In AWS’s purchase order example, processing took 3 minutes 49 seconds for an unfamiliar format and 1 minute 30 seconds for a subsequent document using stored instructions. The guide provides deployment steps and explains how to customize schemas, validation logic, and prompts. AWS estimates deployment takes approximately 15–20 minutes. For a workload of 10 training documents and 1,000 processed documents each month in US East (N. Virginia), AWS estimates the cost at approximately $58 per month.
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