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.