AWS Releases Strategy Mosaic Tutorial for Building a Semantic Layer for Agentic AI
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On October 20, 2026, the AWS Machine Learning Blog published a tutorial (a first-hand source) on how to build a semantic layer for agentic AI on AWS. The solution uses Strategy Mosaic as the semantic layer on AWS, providing Customer 360 (C360) data via an MCP endpoint to Strands agents hosted on the Amazon Bedrock AgentCore runtime. Its core approach is to store connection definitions, metrics, and row-and-column filters in Mosaic rather than writing them into agent prompts, thereby unifying data semantics management. Only this one report exists so far; there have been no follow-up developments.
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- AWS Machine Learning BlogBuild a semantic layer for agentic AI on AWS with Strategy Mosaic and Amazon Bedrock AgentCore
Strategy Mosaic acts as a semantic layer on AWS, serving Customer 360 (C360) data via MCP endpoints to Strands agents hosted on the Amazon Bedrock AgentCore runtime, with join definitions, metrics, and row-column filters stored in Mosaic rather than agent prompts.
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