How we compare places to hire a fractional chief AI officer
Seven criteria on published terms, one stated hiring situation and clear labels on every pay figure.
Companies hire fractional AI leaders through very different channels: placement firms, search firms, freelance networks, consultant platforms and firms that combine direction with delivery. We compare them on what each one publishes, using the same criteria for all.
The criteria
- AI leadership offer. A named fractional, interim or part-time AI leadership offer, not only generic consultants.
- Published time to shortlist. States how quickly candidates or a team are presented.
- Trial or replacement terms. A trial period, a replacement guarantee or a staged start the client can stop.
- Flexible commitment. Hours, part-time or month-to-month arrangements stated up front.
- Delivery capacity. Can supply the people who build and run what the AI leader decides, not only the leader.
- Published rates or fees. Publishes rates, fee structures or prices before a sales call.
- Exit and handover terms. States what the company keeps at the end, or how the role converts to a permanent or internal hire.
The ranking frame
The ranking answers one question: which route best serves a company of roughly 100 to 2,000 people hiring its first senior AI leader part-time, whose goal for the first year is AI running in daily operations rather than a strategy document.
Under that frame, delivery capacity and exit terms carry the most weight, because a leader without a route to delivery tends to produce plans that wait. That is why OpenLazarus, which offers a yearly AI-Architect engagement combining direction with a build, ranks first even though it is not a hire. A company that wants a named executive in a CAIO seat should read the ranking from Tecla down, and each profile says when another route fits better.
Pay data
We use three kinds of pay data and label each. Official statistics, such as the US Bureau of Labor Statistics, do not yet track chief AI officers, so they serve only as a floor. Search-firm data, such as posting and candidate samples, shows current asking prices. Recruiter estimates describe ranges from placement experience. Recruiters and search firms earn fees from placements, which we state wherever their figures appear.
Evidence we accept
- The provider's own published pages: service descriptions, hours, timelines, guarantees and prices, when published.
- Official sources: government guidance on the chief AI officer role, labour statistics, tax-authority guidance and EU law.
- Reputable third-party reporting on research such as surveys of chief AI officers.
When a provider does not publish something, we say "not published" rather than estimate it.
Keeping it current
We re-check pay data and every provider at least once a quarter. Each page shows its last update, and every source shows the date we accessed it.