AI keeps coming up, but nobody owns it
Leadership agrees AI matters. But decisions keep bouncing between product, tech, operations, and compliance. A fractional Head of AI gives that work a real owner.
Hiring guide
When to hire a fractional Head of AI.
You do not need this role on day one. You need it when AI becomes important enough to affect real business decisions, but not mature enough to justify a full-time executive hire.
You are too early for a full-time hire
You do not need a permanent AI executive when the company is still choosing the first workflows, operating model, and governance approach. Fractional lets you buy judgment before you buy an org chart.
You have builders, but not enough direction
If the real gap is prioritisation, architecture judgment, and delivery discipline, another agency or more engineers will not solve the problem. You need someone who owns the decisions.
What usually happens instead
Most teams wait too long and burn time in the middle.
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 fractional Head of AI can help. The job is not to make the company look AI-native. The job is to create enough clarity and ownership for one useful, governed production outcome.
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.
Next step
If you are stuck in that middle stage, that is usually the signal.
A short conversation is enough to tell whether you need fractional leadership now or should wait.