As Microsoft 365 Copilot and AI become more embedded in everyday work, organizations need governance that goes beyond responsible AI principles. Effective AI governance also depends on the information, permissions, sources and controls that determine what AI can access, use and produce.
Microsoft 365 Copilot and AI Governance provides a practical framework for connecting responsible AI policy with information governance, permission hygiene, source control, human oversight and operational controls.
What you'll learn:
Use the guide to help your organization:
Connect AI and information governance
Bring responsible AI policies together with the information governance, security and knowledge controls needed for Microsoft 365 Copilot.
Strengthen permissions and source control
Reduce unnecessary exposure by improving permission hygiene and establishing greater control over the information available to AI.
Establish human oversight and automation controls
Define where human review is required and put appropriate controls around AI-assisted and automated processes.
Create a process for AI use cases
Establish a practical approach for assessing, approving and governing new Copilot and AI use cases.
Prepare for AI incidents and ongoing assurance
Define how AI-related issues are identified, escalated and handled, with clear accountability and continuous review.
This is Guide 3 of 4 in our Microsoft 365 and Copilot governance series.
It works as a standalone resource or as part of a sequential governance pathway, helping you move from governance foundations and Microsoft 365 execution to the specific controls needed to govern Copilot and AI responsibly.
Use it as a practical working document for workshops, governance board discussions, planning sessions, readiness assessments and quarterly improvement cycles.
Turn responsible AI principles into governance that works in practice.
Fill in the form to download the Microsoft 365 Copilot and AI Governance Guide.