AI Leadership on Demand
Fractional Chief AI Officer (CAIO)
The Chief AI Officer is the fastest-growing seat in the C-suite — but most companies don't need one full-time. They need the decisions: strategy, governance, build-vs-buy, board reporting. That's what a fractional CAIO delivers.
Expert-Vetted top 1% · 100% JSS · production AI at a 5,000-employee US enterprise + a Big 4 firm
What a Fractional CAIO Owns
The AI Agenda, End to End
Everything a full-time Chief AI Officer would own — on a retainer sized to how much AI decision-making your company actually generates.
AI strategy that fits the P&L
Where AI actually creates value in your business — and where it doesn’t. A ranked roadmap tied to revenue or cost, not a slide of use-cases.
Build vs buy, decided
Model, vendor and platform choices made by someone who has built and bought both. No more evaluating five tools forever.
Governance & risk
Practical frameworks for responsible AI use, data privacy and compliance — sized for your company, not a bank’s policy binder.
Board-level reporting
AI progress translated into language the board and investors act on: spend, risk, milestones, and what changed since last quarter.
The Math
Executive AI Leadership, Not Executive Payroll
A full-time Chief AI Officer costs $300k–$550k+ a year and takes months to hire. A fractional CAIO runs $5k–$30k a month and starts in days.
| Full-time hire | Fractional CAIO | |
|---|---|---|
| Cost | $300k – $550k+ per year, plus equity and hiring risk | $5k – $30k per month, fixed retainer, stop anytime |
| Cadence | Full-time seat whether or not there is full-time work | Two days a month to three days a week — matched to the roadmap |
| Who you get | Whoever your exec search surfaces in ~6 months | A named, Expert-Vetted top-1% practitioner, starting in days |
| Proof | References and interviews | Public track record: 100% JSS, production AI at a 5,000-employee US enterprise + Big 4 |
The Difference
A Practitioner, Not a Bench
Most fractional-CAIO services are consultancies: you buy a logo and get assigned a consultant. Here you know exactly who you're getting — a practicing, Expert-Vetted top-1% data scientist with a 100% Job Success Score, production AI shipped at a 5,000-employee US enterprise and a Big 4 firm, and a live AI product (Super Chain) built with the same hands that will write your strategy. Audit the track record before you sign; strategy from someone who still ships.
Need execution capacity alongside the leadership? The same firm rents out embedded data scientists and AI engineers — one accountable partner for the strategy and the shipping.
FAQ
Fractional AI Leadership, Answered
What does a fractional Chief AI Officer do?
A fractional CAIO owns your AI agenda part-time: setting the AI strategy and aligning it to business goals, making build-vs-buy calls, establishing governance and risk frameworks for responsible AI use, overseeing vendor and model selection, and reporting progress to the board. You get the decisions and accountability of a C-level AI executive without creating a full-time seat.
How much does a fractional CAIO cost?
Typical fractional CAIO engagements run $5,000–$30,000 per month depending on cadence (from two days a month up to three days a week), against $300,000–$550,000+ per year in total cost for a full-time Chief AI Officer. Most companies under a few hundred million in revenue get everything they need from the fractional model.
Fractional CAIO vs fractional CTO — which one do I need?
A fractional CTO owns your whole technology function: architecture, engineering team, infrastructure, delivery. A fractional CAIO owns the AI agenda specifically: where AI creates value, what to build versus buy, model and vendor strategy, governance and compliance. If your engineering org is healthy but AI decisions are ad-hoc, you need a CAIO. If technology leadership overall is the gap, start with a CTO — for AI-first startups the same fractional executive often covers both.
Why hire a practitioner instead of a consultancy for AI leadership?
Most fractional-CAIO offerings are consultancies selling a bench. Ours is a named, verifiable practitioner: an Expert-Vetted top-1% data scientist (100% Job Success Score) who has shipped production AI — NLP, LLM/RAG systems, agents — at a 5,000-employee US enterprise and a Big 4 firm, and who builds an AI product (Super Chain) with the same hands. Your AI strategy is written by someone who still ships, so the plan survives contact with production.
Get the AI decisions without the AI headcount.
Tell us where AI is stuck in your company — we'll show you what a fractional CAIO engagement would fix first.