You built AI agents to be autonomous. That was the point. But autonomy drifts, and in a multi-agent system it drifts at the group level, where every agent still passes its own check and nothing flags a problem. At OpenAI it ran that way for two months. Multi-agent AI governance is a system-level job: reduce the conditions that start drift, put a human only where being wrong is expensive and watch for organization itself appearing between your agents. Most monitoring today wat

Adoption rose. Investment rose. The share of companies turning AI into EBIT sat flat at 6% for a second year. McKinsey says redesign your workflows. Its own sidebar says the constraint is your organization's capacity to absorb change. Only one of those is advice you can act on, and it changes how you scope next year's AI plan.

Of 108 leaders surveyed, 68% blamed their own management, not the AI, for failed deployments. Our review of The Human-Agent Orchestrator: what holds up, what to borrow and which numbers to squint at.