Fractional Chief AI Officer (CAIO) for Enterprise & Growth Companies | AI Performance Lab

Senior AI leadership, without the full-time hire.

A fractional Chief AI Officer gives you a credible AI executive in the room now — setting strategy, prioritizing the use cases that matter, upskilling your leaders, and standing up governance — for a fraction of the cost of a permanent CAIO. Led by Dr. Michael "House" Housman.

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What is a Chief AI Officer?

A Chief AI Officer (CAIO) is the executive accountable for an organization’s AI strategy and its results. They set the roadmap, prioritize high-value use cases, build the team’s fluency, and establish the governance that lets AI be adopted safely. Where a CTO or CIO owns technology broadly, a CAIO’s mandate is specifically to turn AI from scattered experiments into a coordinated, measurable capability.

A fractional Chief AI Officer fills that same role part-time, on a fixed engagement — giving you the leadership without the $400K+ salary, the equity, or the year-long executive search.

Why fractional, and why now

Every board now expects an AI answer. Few companies can justify a full-time AI executive yet — and the ones that rush the hire often get it wrong. The fractional model lets you move immediately, prove value, and define the permanent role precisely instead of guessing.

Move now

A senior AI leader in the room in weeks, not the 6–12 months a C-suite search takes.

A fraction of the cost

Fixed monthly retainer instead of a $350K–$500K+ total package, with no equity and no recruiting risk.

Build, don’t create dependence

The goal is to leave you more AI-fluent and self-sufficient — and to define the full-time role, or grow an internal leader into it.

What a fractional CAIO owns

  • Strategy & roadmap — a clear, board-ready AI plan tied to business outcomes.
  • Use-case prioritization — finding the highest-leverage places AI changes the work this quarter, not someday.
  • Leadership upskilling — building real fluency so your leaders actually use AI, not just approve it.
  • Governance & risk — policy, guardrails, and review so you can scale AI safely.
  • Board reporting — translating AI progress into the metrics your board cares about.

How it’s different from an AI consultant

A consultant delivers a project or a deck and moves on. A fractional Chief AI Officer takes ownership — an embedded member of your leadership team, accountable for the strategy and its results over time, in the room for the decisions, and responsible for building lasting internal capability.

Not sure where you stand today? Start with the free AI readiness assessment.

Why Dr. Housman

Dr. Michael "House" Housman has spent 15+ years deploying AI inside real businesses — co-founding an AI-native company (Doma), advising enterprises from PepsiCo to Sony to Walmart, and co-authoring Future Proof, the field guide to riding the AI wave. He brings the credibility of a permanent AI executive to a fractional engagement.

See the case studies, read more about Dr. Housman, or book a call to talk through your situation.

Fractional CAIO, answered

What is a Chief AI Officer (CAIO)?
A Chief AI Officer (CAIO) is the executive accountable for an organization’s artificial-intelligence strategy and its results — setting the AI roadmap, prioritizing high-value use cases, building the team’s fluency, and establishing governance so AI is adopted safely and effectively. Unlike a CTO or CIO focused on broad technology, a CAIO’s mandate is specifically to turn AI from scattered experiments into a coordinated, measurable business capability.
What is a fractional Chief AI Officer?
A fractional Chief AI Officer is an experienced AI executive who fills the CAIO role part-time, on a fixed monthly engagement, instead of as a full-time hire. You get senior AI leadership — strategy, prioritization, upskilling, and governance — without the cost, equity, or year-long search of a permanent C-suite executive. It’s the fastest way for a company to get a credible AI leader in the room when the need is urgent but a full-time role isn’t yet justified.
When should a company hire a fractional CAIO instead of a full-time one?
A fractional CAIO makes sense when you need senior AI leadership now but can’t yet justify a $400K+ full-time executive — typically growth-stage and mid-market companies, or larger organizations that want to stand up an AI function before committing to a permanent hire. The fractional model lets you move immediately, prove value, and define the full-time role precisely (or build an internal leader) rather than guessing at it.
What does a fractional Chief AI Officer do?
A fractional CAIO typically sets the AI strategy and roadmap, identifies and prioritizes the highest-value use cases, leads hands-on upskilling so leaders actually use AI, stands up governance and guardrails, and reports progress to the board. The emphasis is on outcomes and capability-building — leaving the organization more AI-fluent and self-sufficient, not dependent on the advisor.
How is a fractional CAIO different from an AI consultant?
An AI consultant usually delivers a project or recommendation and moves on. A fractional Chief AI Officer takes ownership of AI as an embedded member of your leadership team — accountable for the strategy and its results over time, in the room for decisions, and responsible for building lasting internal capability rather than handing over a deck.
How much does a fractional Chief AI Officer cost?
Fractional CAIO engagements are typically a fixed monthly retainer scoped to the time and outcomes you need — a fraction of the $350K–$500K+ total cost of a full-time AI executive, with no equity or long recruiting cycle. The right scope depends on your size, urgency, and goals; the best next step is a short call to define it.