Fractional chief AI officer: senior AI leadership without the full-time hire

Who is a fractional chief AI officer for?

AI questions often reach a business before anyone has the job of answering them. A manager wants to try a new tool, a vendor sends a proposal, a pilot runs for a month and nobody checks the result. A fractional chief AI officer gives those questions a senior owner for part of each month. The situation looks different at each size of business:

• Established local businesses: the owner fields every AI question alongside running the company, and each tool in use was picked by whoever needed it first.
• Multi-location and regional businesses: managers at each location are trying AI their own way, and nobody has settled which tools the business backs or which project goes first.
• National businesses: several AI initiatives are under way at once, often with outside vendors doing the work, and leadership wants one account of where each one stands.

What does a fractional chief AI officer do?

A full-time chief AI officer (CAIO) answers for where a business uses AI, which tools it buys and whether they pay off. A fractional chief AI officer carries that responsibility for part of each month, on a retainer. With one in place, AI decisions stop waiting: when a proposal lands or a pilot ends, weighing it is already someone’s job, and that person knows the roadmap it has to fit.

The market sells this under several names. Of the 15 US AI advisory retainers with a published monthly price that we read on November 1, 2026, 6 use “fractional AI officer” or a variant of it, such as fractional chief AI officer, vCAIO or fractional head of AI, and 5 call it AI advisory. Whatever the label, nearly all of them review tools and vendors: 13 of the 14 sellers that describe their scope include it, at every level they sell.

When does a business need a fractional chief AI officer?

A common sign is that AI decisions are being made by nobody in particular. Teams sign up for overlapping tools, vendor proposals wait for an answer, and pilots end without anyone saying whether they worked. The spending grows, and nobody can say what it bought.

Christian & Timbers, an executive search firm, wrote in September 2026 that a part-time AI leader works while AI use is still confined to pilots inside one or two functions, with nothing that touches a customer and no team of engineers needing daily direction.

If you want one fixed piece of work, an AI readiness assessment ranks where AI could help, and AI strategy and roadmap work turns that into a phased plan with a cost for each phase. A retainer suits a business that wants someone to keep making those calls after the plan is written.

What does the retainer cover at each level?

The levels follow the size of the business, the same three as the price cards, and the hours are approximate:

For the market’s figures on the rest of AI consulting, from assessments to roadmaps, see AI consulting cost.

What isn’t included in the retainer?

Three things sit outside it:

• Building: automations, integrations and software are scoped in a proposal of their own, as AI automation or AI implementation. The retainer’s part is working out what’s worth building and following the work.
• Tool and licence fees: what the AI tools themselves cost is billed at cost.
• Extra hours: time past your level’s allowance is $250 to $350 an hour. We don’t sell hours on their own.

Three of the retainers we read say plainly that building sits outside them: Vantage Point, IT Partner and Erin Moore. Of the 14 in our read that list their scope, 5 include implementation oversight or hands-on hours. IT Partner’s page adds that an advisor who profits from selling you the implementation has a conflict of interest. We build too, so a build from us comes as a separate proposal you can weigh on its own, and you decide who does the work.

How is a fractional AI officer different from an AI consultant?

The difference is the shape of the work. An AI consultant is usually brought in for a piece of work that ends, such as an assessment or a roadmap, and hands it over when it’s done. A fractional AI officer holds a standing role beside the leadership team: the same person keeps the plan current, weighs each new tool and proposal, and is there when the results come in.

JRG Partners, an executive search firm, describes fractional chief AI officers as “embedded executives with explicit decision rights” (September 2026). Its examples are sign-off limits for vendors, the authority to stop a failing pilot and a quarterly update to the board. Whoever you hire, agree on those rights at the start.

Sellers come in two shapes: a fractional AI company that puts someone from its team on your account, or an independent fractional AI consultant who does the work alone. Kore1, a recruiting firm, says a fractional head of AI typically splits their time across two to five clients (July 2026). Before you sign, ask who does the work each month, how many other clients they serve and what they can decide without you.

How are AI tools and vendors chosen?

A useful review starts from the task the tool is meant to take on. Five questions are worth answering before anyone signs:

• The job: which task the tool takes on, and how you’ll tell whether it does it well.
• The running cost: seats, usage fees and add-ons added up over a full year.
• What it sees: which of your data it reads, where that data goes and who at the vendor can reach it.
• How it fails: what happens when it gets something wrong, and who catches it before a customer does.
• How you leave: whether you can export your data and stop paying without losing the work built on it.

A tool that passes those questions often still has to connect to the systems you already run. AI integration covers how that connection gets built.

How does a fractional AI officer engagement start?

Every engagement starts with a 15-minute call. You’ll speak with Nicolas Perez, Co-Founder and CEO, or Noah Alvarez, Co-Founder and CCO, and you don’t need a plan beforehand. If you’d like a head start, two free worksheets show where you stand: the AI readiness worksheet scores one task you’re weighing for AI on 20 questions, and the Operations Audit worksheet puts hours and a yearly cost on up to eight tasks your team repeats. Bring either to the call, or just the list of AI decisions waiting on someone.

We were formed in 2023 and work from our office in Valencia with businesses across the US. Book a 15-minute call to talk it through.

What does the work look like in practice?

We plan, build and run AI at Alvy Logistics and DSI Transportation every day, so the advice on this retainer comes from running it. Alvy is owned by our co-founder Noah Alvarez, and DSI is an Alvy company. AlvyOne is the operations system we built and run with Alvy: it reads the two companies’ order emails and builds the orders in their dispatch system. AlvyOne created 69% of the two companies’ new orders, October 3 to November 2, 2026, and the AI that reads the emails cost about 0.4 cents per order built, October 8 to November 2, 2026, before hosting. The dispatch team also works with the dispatch assistant in its team chat, whose first version arrived on July 3, 2026 and which has taken requests with several steps since October 10, 2026.

Running it means making the same calls a fractional AI officer makes: what the AI handles and what waits for a person, what each order costs, and when to change the system as the work changes. That’s AI we run ourselves, and the AlvyOne case study describes the system in full.

When is a fractional AI officer the wrong call?

A retainer isn’t always the right first purchase, and we’ll say so on the call when it isn’t:

• You have one task in mind: if a single workflow is eating your team’s week, AI automation takes that task on directly.
• The role needs close to a full week: Axial Search (October 2026) says a fractional arrangement charges for flexibility you aren’t using once the time needed approaches a full week, and that a fractional leader can’t be the person your team reports to day to day.
• AI is what you sell: JRG Partners (September 2026) points to a full-time hire when AI becomes the core customer-facing product and drives more than 10% of revenue, when three or more major AI projects run in production at once, or when you move from vendors’ models to training or hosting your own.

If you aren’t sure which side of those lines you’re on, book a 15-minute call and we’ll tell you what we see.