For decades, project governance has been built around a fundamental distinction: people make decisions, while software executes instructions. AI agents are challenging that distinction.

When software can initiate actions, delegate tasks, negotiate priorities, and influence project outcomes, traditional governance models face a problem they were never designed to solve.

Who holds authority when decisions emerge from interactions between humans and autonomous systems? Can accountability remain human when execution is increasingly delegated to AI? And are existing governance controls protecting organizations—or preventing them from realizing the benefits of autonomy?

This bite examines why AI risk is fundamentally an organizational governance challenge rather than merely a technical problem. It explores how project leaders must rethink decision rights, accountability, oversight, and organizational boundaries.