Fractional Chief AI Officer
The decisions a full-time AI executive would make, a day or two a month, with someone accountable for them.
Most businesses don’t need a full-time AI executive. They need the decisions one would make: which tools, which vendors, what to build, what to ignore, what the answer is when a client asks how you use AI. As your fractional Chief AI Officer I take ownership of those decisions — embedded with your leadership team a day or two a month, accountable for a roadmap rather than a slide deck.
The methods are ones I’ve run inside my own ventures first: financial projections stress-tested by AI before investors saw them, positioning put through adversarial review before it shipped, research done at a scale one person can’t reach alone.
Who it’s for
Owner-led SMEs, professional-services firms, startups and sport organisations — businesses where AI decisions are currently nobody’s job, made ad hoc between other work, or parked because nobody trusts themselves to make them.
Questions
What does a fractional Chief AI Officer actually do?
The job a full-time AI executive would do, at the scale you need it: which tools and vendors, what to build and what to ignore, governance, and a roadmap someone is accountable for. I'm embedded with your leadership team, not advising from outside.
How much time does it involve?
A day or two a month, embedded with your leadership team. The point isn't the hours — it's that the AI decisions get made, by someone accountable for them.
Do we actually need one?
If AI decisions in your business are nobody's job, you need the decisions more than you need the hire. That's the gap this fills — and an intro call usually settles whether it's worth your money.