How to Scale AI Agents Without Losing Control

What you’ll learn

• Identify and mitigate the unique risks associated with AI agents in production

• How to establish reusable governance practices that can be embedded into engineering and operational workflows

• Implement a scalable framework for maintaining accountability, oversight, and control as AI adoption grows

As AI agents move beyond experimentation into operational workflows, organizations face a new challenge: ensuring that increasing autonomy does not outpace oversight. When agent decision-making authority expands faster than governance structures, agent authority drift can emerge, creating unintended business, operational, and risk outcomes. 

This webinar explores practical approaches for governing AI agents at scale. Learn how to embed governance into workflows, define accountability, and establish the oversight needed to maintain control as AI capabilities evolve.