Simulating Expert Teams with Agentic AI and Amazon Bedrock AgentCore

This article demonstrates how multi-agent AI systems using Amazon Bedrock AgentCore can simulate expert teams to accelerate technical problem-solving across multiple domains.

• Coordinator agent routes queries to specialized domain experts from pool of seven agents
• Expert agents collaborate through handoffs, each querying domain-specific knowledge bases
• System uses AgentCore Runtime, Gateway (MCP), Memory, and Lambda-routed Bedrock Knowledge Bases
• Single-agent queries retrieve knowledge; multi-agent queries produce integrated cross-domain architectures
• Iterative network pattern allows agents to challenge assumptions and refine proposals together
• Factory digital twin example: IoT, Spatial Computing, and GenAI agents designed integrated solution
• Weather simulation example: HPC and GenAI agents iterated to validate architecture against documentation
• System compresses days of research into minutes; human experts validate and refine output
• Complete implementation available on GitHub with deployment instructions

The system augments expert coordination by accelerating initial research and draft creation, reducing time-to-implementation while maintaining human oversight and validation.