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Large Language ModelsAI Business & IndustryAmazon AI BlogPublished: Oct 15, 2026, 04:00 JST

AWS: 8 agents on Amazon Bedrock AgentCore cut document processing to 1m30s

AWS: 8 agents on Amazon Bedrock AgentCore cut document processing to 1m30s

3 Key Points

  1. What happened

    AWS published a guide for an eight-agent document processing system on Amazon Bedrock AgentCore. It learned a new supplier's invoice format and reused it, cutting a later purchase order from 3 minutes 49 seconds to 1 minute 30 seconds.

  2. Why it matters

    The system builds a reusable knowledge base of document formats, so similar documents skip retraining and reduce the template maintenance and repeated errors that plague rule-based systems.

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Context & Analysis

The blog post describes an agentic intelligent document processing (IDP) system built on Amazon Bedrock AgentCore, positioned as an alternative to template-based IDP that requires upfront configuration for each document format. In its example, a first purchase order from Two Wheel Store took 3 minutes 49 seconds end-to-end — including a validation failure where the vendor's SKU format (SB-004) didn't match the internal format, a fix that added a transformation rule, and a successful second pass. When a second purchase order arrived, the Matcher agent found the stored instructions with a confidence score of 3.946 against a threshold of 3.7 and completed processing in 1 minute 30 seconds. The post specifies prerequisites including AWS CDK v2 and Docker, and the walkthrough deploys six CloudFormation stacks; operations are monitored through AgentCore Observability and CloudWatch, and content filtering can be added via Amazon Bedrock Guardrails.

FAQ
How long does it take to deploy the system?
Deployment takes approximately 15–20 minutes, with the instructions noting it can often be done in under 20 minutes.
What does it cost to run?
For a workload of 10 training documents and 1,000 processed documents each month in US East (N. Virginia), the estimated cost is approximately $58 per month, with foundation model inference making up about 85 percent of that.
What models does the solution use?
It requires access to Amazon Bedrock with Amazon Nova and Anthropic (Claude) models enabled.
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