When agents act under your authority, the consequences carry your name. I help boards and executives put the foundations in place first.

Your board approved AI agents. They no longer just answer questions; they take actions, moving money, changing settings, sending messages, faster than anyone can review, and the organisation is fully liable for what they do. Three questions, before the next one goes live:

1. Can you say exactly what an agent is allowed to do, and who approved it?

2. Once it is live, who can halt it in seconds, without convening a committee?

3. After it acts, can you reconstruct what it was authorised to do, or only read the logs once the damage is done?

If the answer to any of these is no, you don't have governance. You have hope. The missing piece is not a better model; it is control over the meaning your agents reason from, in an open form you own rather than rent inside a vendor's platform. That is the argument of The Ontology Imperative.

I built hybrid agentic AI in 2006, and I have spent the two decades since on digital, data and AI at industrial scale. Today I help boards and CDOs own the meaning layer, the contracts, and the controls that let autonomous systems act safely, not just impressively.

Former Head of Data Office, TotalEnergies EP Danmark. Former CEO, Knowledge Graph Alliance. PhD in Applied Physics, cum laude. Now open to Chief Data Officer, non-executive and board advisory mandates.

The Ontology Imperative

The series. A board-level roadmap

For board advisory, speaking, or executive conversations on agentic AI governance and the meaning layer.