Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore
Not a pilot. AWS Professional Services deployed multi-agent framework across enterprise cloud migrations—IaC dev time: weeks to minutes.
Why it matters
Real agent deployment case study showing how autonomous multi-agent systems handle complex, multi-step enterprise workflows (discovery → IaC generation → governance → ops). Practitioners building or evaluating agent platforms see a concrete production blueprint; enthusiasts tracking agent adoption see early evidence of agents solving hard operational problems at scale.
The key facts
9 to knowAWS Professional Services deployed multi-agent framework on Amazon Bedrock AgentCore
Agents handle four distinct workflow stages: discovery, infrastructure-as-code generation, portfolio governance, post-migration operations
IaC development time reduced from weeks to minutes
Purpose-built agents (not general models) for specific enterprise tasks
Framework is multi-agent (agent-to-agent coordination implied by orchestration across four stages)
Deployed by internal AWS team (credibility but not third-party validation)
Agents handle discovery, IaC generation, portfolio governance, and post-migration operations
End-to-end enterprise cloud migration automation
Published August 2026 on AWS blog
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handle discovery, infrastructure as code generation, portfolio governance, and post-migration operations, reducing IaC…