AI governance now sits inside daily enterprise operations. AI adoption is broad, governance programs are active, and investment continues to rise. The survey also shows a gap between activity and a consistent operating model. Visibility into unsanctioned use remains incomplete and agent adoption is moving faster than oversight is being deployed. Only 5% of respondents say coordination and accountability are clear across the AI lifecycle.
The next phase of AI governance centers on connection. Organizations need governance that works across systems, teams, vendors, and agents, with controls and evidence that stay attached to AI as it moves from intake through deployment and ongoing use.
The next phase of AI governance is about connection across systems, teams, vendors, agents, and the full lifecycle.
