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Azure AI Search with Autonomous Copilot Studio Agents

Most people think of Copilot Studio as a chatbot platform. It's much more than that.

In this session, I walk you through a real customer project where an autonomous Copilot Studio agent solves schema drift — a common headache in enterprise data pipelines. The agent gets triggered automatically when a carrier file contains a new or renamed column, queries Azure AI Search to find semantically similar destination columns, and submits a proposed mapping to SharePoint for human review.

You'll learn:

  • How RAG (Retrieval Augmented Generation) works and why it matters for enterprise AI

  • How Azure AI Search powers semantic matching against structured SQL data

  • How autonomous agents differ from chatbots and when to use each

  • How to design AI workflows that keep humans in the loop for decisions that matter

Practical, demo-driven, and built on the Microsoft AI stack you already know.

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February 20

Building Autonomous AI Agents with Copilot Studio

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Next
April 21

Connecting Copilot Studio Agents with Microsoft Foundry Agents