Deploying AI agents in a demo environment is straightforward. Deploying them in a regulated enterprise environment, where data governance, security controls and infosec approval are non-negotiable, is a completely different challenge.

This session walks through the complete architecture for a production-grade AI agent built natively on Microsoft Fabric, drawing on real deployment experience from a live enterprise environment in 2026.

You will learn:

-How to architect the full agent stack – Microsoft Fabric, Azure AI Foundry, Azure OpenAI Service, Azure AI Search and Microsoft Copilot Studio – so that business users can query governed data via natural language in Microsoft Teams

-A five-gateway anti-hallucination framework to ensure factual accuracy before every response reaches an end user

-How to implement enterprise-grade security using Microsoft Entra ID Privileged Identity Management (PIM) for Just-In-Time access, Row-Level Security and Object-Level Security with identity passthrough

-Why tenant-isolation architecture is the only acceptable model for enterprise infosec teams – and how to configure it

-Real Azure production costs and what drives them

-The governance decisions that determine whether an AI agent can scale beyond a proof of concept

This session is for data engineers, architects and platform teams who are moving beyond AI agent demos and need a blueprint for production deployment in enterprise environments.