Fractional Chief AI Officer

    Fractional Chief AI Officer for Mid-Market Companies

    Shawn Moore, Founder of AI Savvy CEO
    Shawn Moore
    Updated · 11 min read

    A permanent Chief AI Officer in the US mid-market runs $400K–$750K all-in, and most companies who hire one before clarifying the scope of the role re-org within eighteen months. A fractional CAIO covers the same scope — capital allocation, vendor selection, governance, and board narrative — at $8K–$25K per month, while you find out whether the permanent role is actually needed. Delivered personally by Shawn Moore, not a junior team.

    Who this is for

    • CEOs of $25M–$500M companies whose board is asking for an AI strategy in writing — and the answer needs to be defensible, not aspirational.
    • PE-backed leadership teams under thesis pressure to show AI traction without burning a $500K permanent hire on a role they cannot yet scope.
    • Companies recovering from a stalled or wrong-hire CAIO search who need an experienced operator to clarify the role before re-opening it.
    • Executive teams where the CIO, COO, and CFO are AI-curious but lack the bandwidth to run AI execution alongside their core P&L.

    What you get

    • An accountable AI owner sitting on your executive committee — two to three days a week — with veto authority on AI capital decisions above an agreed threshold.
    • A scored AI readiness assessment across strategy, data, infrastructure, governance, talent, and culture, with a sequenced remediation roadmap.
    • Portfolio ownership: every candidate AI investment plotted against build/buy/wait with three-year TCO, then killed, funded, or deferred on a written cadence.
    • Vendor and partnership selection support — model providers, infrastructure platforms, agencies — with reference call scripts and contract red flags.
    • Quarterly board-level AI updates, co-owned with the CEO, in language a non-technical board can defend.
    • A written handoff plan so the role can transition to a permanent CAIO, fold into the CIO/COO charter, or stay fractional indefinitely — your call, based on evidence.

    Methodology

    Diagnose the role before doing the role

    The first thirty days are spent stress-testing whether the company actually needs a CAIO at all. The three-condition framework — revenue scale, strategic priority, executive bench gap — gets applied to the real org, not the aspirational one. About a quarter of engagements end here with a written recommendation that the role is not needed; we restructure into project-based advisory instead.

    Operate as a real executive, not a consultant

    A fractional CAIO who only writes memos is a senior individual contributor with a fancy title. Engagements include explicit decision rights — vendor sign-off thresholds, kill criteria for active pilots, capital reallocation authority — agreed in writing with the CEO at the start. Without those, the role collapses inside ninety days.

    Govern the portfolio like capital, not technology

    Every active and candidate AI initiative is run through the build-vs-buy-vs-wait matrix and the four-failure taxonomy on a monthly cadence. Wait and kill are the two most under-used decisions in mid-market AI — a fractional CAIO whose calendar is dedicated to the portfolio uses them on schedule.

    Build the permanent successor — or eliminate the need

    Every engagement has a planned exit. Either the role transitions to a permanent CAIO with a profile we have de-risked through twelve months of evidence, or it folds into an existing executive charter once the organization has absorbed enough AI fluency to no longer need a dedicated owner. The wrong outcome is permanent fractional dependence.

    Engagement model

    Fractional CAIO Retainer
    Two to three days per week, twelve-month minimum. $15,000–$25,000 per month depending on scope and travel cadence. Executive committee seat included.
    Light-touch Advisory
    One day per week or bi-weekly working sessions for companies with an existing AI lead who needs senior cover. $8,000–$15,000 per month.
    30-Day Scoping Engagement
    Fixed-fee diagnostic to decide whether a fractional or permanent CAIO is the right answer. Written recommendation, no obligation to continue.
    Geographic scope
    United States and Canada. Hybrid delivery — quarterly on-site working sessions, weekly virtual cadence, on-demand for vendor and board moments.

    Frequently asked questions

    What does a fractional Chief AI Officer do?

    A fractional CAIO owns the same scope as a permanent Chief AI Officer — AI capital allocation across business units, vendor and partnership selection, governance and risk posture, executive committee decision rights on AI investments, and the board-level AI narrative — but on a two-to-three-day-per-week basis. They do not write code, run prompts, or evaluate tools personally; that is delegated to engineers and analysts.

    How much does a fractional CAIO cost in 2026?

    Fractional CAIO retainers in the US mid-market range from $8,000 to $35,000 per month, with most engagements landing at $15,000–$25,000 per month for two to three days per week on a twelve-month minimum. By comparison, a permanent CAIO base salary runs $280,000–$480,000, with total compensation between $400,000 and $750,000 once equity, bonus, and sign-on are included.

    Fractional CAIO vs full-time — which makes sense for our company?

    Fractional almost always comes first. A twelve-to-eighteen-month fractional engagement clarifies whether the role is genuinely needed, what specific profile the permanent hire should have, and whether the executive team can absorb the work themselves. Companies that skip the fractional step and go straight to a permanent CAIO frequently mis-hire and re-org within eighteen months — at a cost of severance, search fees, and organizational scar tissue.

    How is this different from hiring an AI consulting firm?

    A consulting firm sells a project; a fractional CAIO sits inside the executive committee with decision rights. Consulting firms cycle people, optimize for billable hours, and leave when the deck is delivered. A fractional CAIO is one named operator with explicit authority over AI capital, accountable to the CEO on the same cadence as a permanent executive — for a fraction of the cost of either.

    Who should the fractional CAIO report to?

    The CEO. Not the CIO, not the CTO, not the COO. The whole point of the role is cross-functional authority over AI investment and posture. Reporting into a peer executive collapses that authority and turns the role into a senior individual contributor. The CFO and CIO should be the CAIO's two strongest cross-functional partners, but neither should be the line manager.

    What size company actually needs a Chief AI Officer at all?

    A dedicated CAIO — fractional or permanent — is generally justified above ~$25M in revenue if AI is a top-three strategic priority and the existing executive bench cannot run AI execution alongside their core roles. Below that, an external advisor on a project basis is usually a cleaner answer. The full three-condition framework is laid out in the article on whether to hire a CAIO at all.

    Are you available for Canadian companies?

    Yes. Shawn Moore is Canadian, based in Vancouver, BC, and AI Savvy CEO operates in both the US (Lahaina, HI entity) and Canada (Vancouver operating address). Canadian engagements address PIPEDA, OSFI, provincial privacy laws, and CAD pricing. US engagements address NIST AI RMF, state privacy law, and SEC disclosure requirements.

    What happens at the end of the engagement?

    Every engagement has a planned exit, decided on evidence not vibes. Three clean outcomes: (1) transition to a permanent CAIO whose profile has been de-risked through twelve months of operating data; (2) fold the role into the CIO or COO charter once organizational AI fluency is high enough; or (3) continue the fractional arrangement indefinitely if the portfolio is mature but the company does not warrant a permanent executive. Indefinite fractional dependence without a stated reason is the wrong outcome.

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