Governing AI Agents at Scale: Implementation Guide and 120-Day Roadmap

Deploying AI agents across your organization creates significant opportunities for productivity, automation, and innovation. But as adoption grows, so does the need for visibility, structure, and control. Without the right governance model, agent initiatives can quickly become fragmented, difficult to manage, and exposed to unnecessary risk.

This guide provides a practical framework and 120-day roadmap to help organizations manage AI agents at scale. It covers the key capabilities needed to move from experimentation to controlled adoption, including governance policies, centralized inventory, lifecycle management, information governance, and continuous monitoring. The result is a structured approach that helps organizations unlock the value of AI agents while maintaining security, accountability, and operational consistency.