AI keeps coming up, but nobody owns it
Leadership agrees AI matters. But decisions keep bouncing between product, tech, operations, and compliance. A Head of AI gives that work one accountable executive owner.
You need this role when AI becomes important enough to affect real business decisions — across operations, sales, finance, and compliance — and nobody is accountable for the result. Fractional is the low-risk way to start; the seat can grow to interim or full-time as the work earns it.
Leadership agrees AI matters. But decisions keep bouncing between product, tech, operations, and compliance. A Head of AI gives that work one accountable executive owner.
You do not need a permanent AI executive while the company is still choosing its first workflows, operating model, and governance approach. Start fractional, and scale the seat to interim or full-time as the work proves itself.
If the real gap is prioritisation, governance, and someone who can hold both the board conversation and the architecture review, another agency or more engineers will not solve it. You need someone who owns the decisions.
The pattern is always the same: leadership wants progress, vendors show demos, internal teams test tools, and nobody feels empowered to say what the first real AI workflow should be.
That middle stage is where a Head of AI earns the seat. The job is not to make the company look AI-native. The job is to create enough clarity and ownership for governed production outcomes — and to answer to the board for the numbers they move.
If that sounds familiar, the pages on what a fractional Head of AI does and why AI pilots fail to reach production are the next useful reads.
A short conversation is enough to tell whether you need the seat filled now — fractional or otherwise — or should wait.