A fractional Chief AI Officer who owns your AI portfolio.

01

What does a fractional Chief AI Officer do?

A fractional Chief AI Officer, or fractional CAIO, is a senior executive who owns a company's AI portfolio part time. Two to four days a month is typical. The role exists because most companies now have several AI initiatives, a few vendors, and a board asking questions, and nobody whose job it is to answer them.

The work is the same as a full-time Chief AI Officer's, on fewer days and at a lower cost. The job has four parts.

1. Owning the portfolio

   Every AI initiative in one list, each marked stop, fix, build, or scale, with an owner and a date. The CAIO keeps the list current and stops what should be stopped.

2. Making the decisions

   Build or buy, which vendor, and what gets funded next quarter. The fractional CAIO makes each call in writing and stands behind it in front of the board.

3. Governance and risk

   Where each system is trusted, where a person still checks its work, what data it may touch, and what happens when it is wrong, all written down before an incident makes it urgent.

4. Reporting to the board

   A quarterly read-out in the numbers the CFO accepts, covering what was spent, what moved, and what comes next.

A fractional CAIO is neither a data scientist, nor a project manager, nor a vendor's implementation team. If the job is to build one system, that is the Build. If the job is one decision about what to fund, that is the Diagnosis. The CAIO owns everything that comes after.

02

Fractional CAIO, full-time hire, or consultant?

There are three ways to get senior AI leadership, and each suits a different company.

1. A full-time Chief AI Officer

   Right when AI is the product, or when the portfolio is large enough to fill a week. The cost is a mid six-figure salary before equity, and the search takes months. Hired too early, the person spends the first year looking for enough to do.

2. A fractional CAIO

   Right when the portfolio is real but does not fill a week, and when the decisions need making before a search could finish. It brings the same seniority on the days it is needed. The engagement should end in a handover to a full-time hire or to the leadership team, and ours is set up that way.

3. An AI consultant

   Right when the job is one decision or one build with a start and an end. A consultant delivers and leaves, and nobody owns the portfolio the day after. Our own Diagnosis is that kind of engagement, three weeks and a written verdict, and for many companies it is the right first step before any of the three.

The rule of thumb is to hire for the smallest job that solves the problem, which means a decision before a build, a build before an owner, and an owner before a full-time hire.

03

What does a fractional Chief AI Officer cost?

Published rates at other firms run from about $5,000 to $30,000 a month. The spread is mostly days per month and seniority. At the low end that is a few advisory hours. At the high end it is an operator inside the leadership team two days a week.

A full-time Chief AI Officer at a United States company costs $300,000 to $500,000 a year in salary before equity, and the search alone takes months. That comparison is why the fractional model exists, and it only applies if a full-time role is on the table.

Ranges are from rate cards other fractional CAIO firms publish and from executive compensation reporting, checked in September 2026.

Our fee is monthly, agreed before we start, with no minimum term. Either side can end with a month's notice. The number depends on days per month and on whether the partner is also carrying a Build, so it is set on the first call, in writing, before any work begins.

04

How do you evaluate a fractional CAIO?

The title is new and nobody regulates it. Six questions separate the people who have done the job from the people who have read about it.

• What have you put into production, and what number did it move? Ask for one system, one number, and who owns it now.
• Who does the work? A fractional CAIO is one person. If the answer is a team, ask who sits in your leadership meeting.
• What will you tell us not to do? A CAIO who has never stopped an initiative has never owned a portfolio.
• What are your decision rights, in writing? Build or buy, vendor selection, and funding. Anything that is not written down is advice rather than ownership.
• How do you report, and to whom? Ask to see a board read-out from a past engagement, with the numbers blacked out if they must be.
• How does it end? The right answer names a handover, to a full-time hire or to your team, and a date to revisit it.

The same questions, for every kind of firm, are in our guide to choosing an AI consulting firm.

05

When do you need a fractional CAIO?

• Three or more AI initiatives under different executives, and no one accountable for the whole.
• A board that wants a quarterly read-out on what the AI spend produced, from someone who did not propose the spend.
• A full-time Chief AI Officer hire on the roadmap, and senior judgment needed before the search.

06

What do you walk away with?

• A portfolio with an owner: every initiative marked stop, fix, build, or scale, with a date.
• The decisions made, in writing: build or buy, vendor selection, funding.
• The board read-out, drafted with your CFO's office.
• At the end of the term, a handover to a permanent hire or to your leadership team, who by then know how the work runs.

07

How does the engagement run?

1. Each month

   Two to four days on your calendar. The partner chairs the AI portfolio review and sits on the committees where money is decided.

2. Between visits

   The partner is reachable. When the work needs more hands, our bench and expert network work under the partner's accountability, scoped separately as a Build.

3. Each quarter

   The board read-out, drafted with your CFO's office, and a re-check of every initiative in the portfolio.

4. End of term

   A documented handover to a permanent hire or to your leadership team.

Background reading: AI value realization and what a fractional Chief AI Officer costs.

08

Terms

09

Proof

1. Retail Conglomerate

   Demand Forecasting Center of Excellence

   The forecasting center is staffed by analysts trained locally. Planning accuracy improved, and the region now has forecasting talent it did not have before.

2. Enterprise Software

   GenAI Strategy for Enterprise Software

   Three proposed pilots became one. The initiative tied to renewal economics got funded, and the other two were stopped before they cost anything.

3. Pension Fund

   Equity Index Strategy Backtesting

   Strategy evaluation used to run once a quarter. It now runs daily, so investment managers can test an idea the same week they have it.

10

Questions