Build self-improving document processing using Amazon Bedrock AgentCore
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.
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Key points
- IDC research shows that document-related challenges cost organizations $19,732 for each information worker annually and reduce productivity by 21.3 percent.
- Amazon Bedrock AgentCore is a platform to build, connect, and optimize agents at scale, with any framework or model.
- Deploy a multi-agent IDP system, often in under 20 minutes.
- Template rigidity: Each new document format requires manual configuration, and even minor layout changes can cause extraction failures.
Sources (1)
- [1]Build self-improving document processing using Amazon Bedrock AgentCoreAWS Machine Learning Blog · Oct 14, 04:24 PM
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.
IDC research shows that document-related challenges cost organizations $19,732 for each information worker annually and reduce productivity by 21.3 percent.
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