Build self-improving document processing using Amazon Bedrock AgentCore | Amazon Web Services
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 AgentCorethat 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...
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