AI is entering the daily work of cloud and DevOps teams: it can review Terraform and Bicep, explain failed deployments, analyze drift, generate runbooks and support incident triage. But when AI gets close to infrastructure, speed without control becomes a risk.

In this session we will explore a practical Azure-first workflow where Copilot assists platform and DevOps teams, but every change remains governed: pull request review, plan/what-if validation, policy-as-code checks, sandbox execution, human approval and traceable remediation.

The goal is not to let AI operate Azure on its own, but to show how teams can use AI to improve review quality, reduce troubleshooting time and keep infrastructure changes auditable and safe.