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Building AI agents for business support using Amazon Bedrock AgentCore

97% cost reduction. That's what AWS GenAIIC achieved building AI agents on Bedrock AgentCore—and it's a blueprint for enterprise deployments.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Amazon Bedrock AgentCore is shipping as a production-ready tool for building autonomous business agents. This case study demonstrates material cost savings and operational efficiency gains, signaling AWS's competitive positioning in the agent infrastructure layer against OpenAI, Anthropic, and others.

The key facts

11 to know
  1. Amazon Bedrock AgentCore used to build AI agents for business support

  2. Cost reduction of up to 97% achieved

  3. Operational efficiency improvements demonstrated

  4. Collaboration between AWS GenAIIC and Works Human Intelligence (WHI)

  5. Two AI agents successfully built and deployed

  6. Focus on real-world business support use cases

  7. Cost reduction: up to 97%

  8. Product: Amazon Bedrock AgentCore

  9. Collaboration: AWS GenAIIC + Works Human Intelligence (WHI)

  10. Use case: AI agents for business support

  11. Focus: operational efficiency improvements alongside cost savings

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: In this post, we share how the AWS Generative AI Innovation Center (GenAIIC) collaborated with Works Human Intelligence (WHI) to build two AI agents using Amazon Bedrock AgentCore. We discuss the challenges encountered and the solutions that reduced costs by up to 97% while improving operational…
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