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AI governance & strategy
Adopt AI where the evidence supports it. Govern it with the same discipline as any other risk.
The pressure
Boards are being told to move on AI. Most proposals overstate what exists today. The damage from a wrong commitment — to data, to reputation — arrives later, when it is harder to undo.
The useful question is not whether AI matters. It is which uses are real for your business, what they cost, and what has to be true before you rely on them.
The work
Where AI genuinely helps your business, where it does not, and the order to do things in.
What could go wrong, what it would cost, and the controls that keep the risk acceptable.
Independent checks on the models, suppliers, and claims you are being asked to trust.
Clear rules for staff and systems, aligned with your regulatory and data obligations.
What you get
A position you can defend: what to adopt, what to decline, what to monitor — and the evidence behind each call.
This is governance and judgement work, not evangelism. Daniel has built and reviewed AI systems. The advice starts from how the technology actually behaves.
Before you invest, sign, or build — talk it through.
Book a confidential call. Bring the decision. Daniel will say how he can help — or tell you plainly if he cannot.
Book a call