Full Description
This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional—it's the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft's latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly.
What You Will Learn:
Design and implement a governance framework for M365 Copilot and Copilot Studio
Configure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflows
Apply environment strategy, role-based access control, and ALM to Copilot Studio agents
Measure, monitor, and optimize AI agent performance, cost, and compliance
Balance innovation with guardrails using models like Microsoft's Zoned Governance
Contents
Chapter 1: Why Governance Matters in the Age of AI - From assistants to autonomous agents; Responsible AI principles.- Chapter 2: Core Governance Principles - Security, compliance, balancing innovation and guardrails.- Chapter 3: Microsoft 365 Copilot Governance - Readiness, labeling, DLP, lifecycle, oversharing controls.- Chapter 4: Copilot Studio Governance - Environment strategy, ALM, sharing policies, connector restrictions.- Chapter 5: Leadership Playbook - CIO strategies, cost/ROI tracking, expanding the CoE.-Chapter 6: Checklists & Quick Reference - Settings tables, security configurations, incident workflows.
