Build self-improving document processing with Amazon Bedrock AgentCore
AWS published a technical guide for building an agentic intelligent document processing (IDP) system on Amazon Bedrock AgentCore, in which eight specialized agents collaborate across two graph workflows built with the open-source Strands Agents SDK. A new document type goes through a training workflow — an Analyzer extracts text with Amazon Textract, a Matcher searches Amazon S3 Vectors, an Instructions agent generates extraction prompts, an Extractor produces structured JSON and a Validator checks it against schemas and business rules in Amazon Aurora DSQL — while documents matching a known layout skip prompt generation in an automation workflow. In the sample purchase-order scenario, the first run took 3 minutes 49 seconds and a repeat document took 1 minute 30 seconds, and AWS estimates about $58 per month for 10 training plus 1,000 processed documents in US East (N. Virginia), with model inference roughly 85 percent of that cost. AWS cites IDC figures that document-related challenges cost organizations $19,732 per information worker annually and cut productivity by 21.3 percent.
It shows how agent memory and reusable instructions can cut per-format maintenance in IDP, though the figures come from an AWS sample rather than independent testing.
IDC research shows that document-related challenges cost organizations $19,732 for each information worker annually and reduce productivity by 21.3 percent. Organizations receiving invoices from hundreds of suppliers often face layouts that vary by issuer and change without notice. Template-based systems require constant maintenance at this scale. Staff can spend up to 30 percent of their time on document-related tasks, and manual data entry error rates range from 1–4 percent. Conventional intelligent document processing (IDP) solutions address some of this burden, but they require extensive upfront configuration for each document format and break when layouts vary across vendors.
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. Amazon Bedrock AgentCore is a platform to build, connect, and optimize agents at scale, with any framework or model. Your agents automatically handle new document formats, such as supplier invoices, purchase orders, insurance claims, and loan applications. By the end of this post, you can:
- Deploy a multi-agent IDP system, often in under 20 minutes.
- Process new document types without manual template configuration.
- Let agents train themselves on each new document format and reuse what they learn, so later documents of that type go straight to extraction without retraining.
#Amazon Bedrock AgentCore#Amazon Bedrock#Strands Agents#Amazon Textract#Amazon S3 Vectors#Amazon Aurora DSQL#Amazon Bedrock AgentCore Gateway#AWS Lambda#Amazon Cognito#Anthropic Claude#Amazon Nova#Model Context Protocol