What Should a Fractional Head of AI Cost in 2026?

A fractional Head of AI should cost well under what the constraint it fixes is costing your business, and the number should be set after someone has diagnosed that constraint, never read off a rate card. Our view is that in 2026 most of the fee should pay for judgment and verification, meaning the call on where AI gets pointed and the check on whether its output holds, because the cost of building the system itself has fallen sharply.

That answer comes from Serious AI Partners, an enterprise AI implementation firm run by Chris Duff, M.D., who works as a fractional Head of AI for operators usually somewhere between $5M and $500M in revenue. He spent 10+ years directing engineering teams, since 2015, before he ever prompted a model, and built his judgment at Serious Land Capital, his own land investment firm, where over $6.5M was funded and realized with his own capital at title at 41% operating margins. If you want the seat defined first, it is written up in What Is a Fractional Head of AI, and When Does a Company Need One?

Why 2025 build prices are the wrong anchor

Chris put roughly $100K of his own money into Land Pricer, an AI system for pricing land to Serious Land Capital’s own standards, in the years before the tooling was ready for it. He set it down to focus on the land business itself, and the work had already forced his pricing method into codified form. In early 2025 the web app piece of that build alone ran about $25K to $30K out of pocket, with four to five engineers in rotation and a senior product manager, and several weeks of iteration where new bugs kept arriving as fast as old ones were fixed.

In May 2026 he built a comparable web app for SLC Chat, the firm’s internal underwriting assistant, for about $160 in subscriptions and API tokens and half a week of his own time. Land Pricer was more complex in places, though not by orders of magnitude. He wrote up the comparison in the May 18, 2026 issue of Serious News, his weekly newsletter for operators (renamed Serious AI News on September 17, 2026): $30K A Year Ago. $160 Today.

Before that, the firm came close to paying a third-party AI service a discounted $6K a year for a weaker version of a tool that, a few months later, it could build better itself. That near miss is written up in the April 13, 2026 issue, I Almost Paid $6K/year For A Worse Version.

So a quote built from hours of engineering, or from what a comparable project cost in early 2025, is anchored to a cost that has since fallen sharply. In our view, knowing which build is worth doing and proving it worked once it runs have not gotten cheaper in the same way. That is the Head of AI seat, and it is what the fee should be paying for.

What actually drives the number?

Five things move it, and most of them are visible before anyone writes a proposal.

What the constraint costs you today. This sets the ceiling. When Serious Land Capital looked at its operations seat, overhead was about $32.7K a year with the role, and the routines that replaced it brought the business to $13,754 a year. A gap of roughly $18.9K a year is the kind of number a fee gets judged against, so put yours on paper first.
Seat, build or both. An ongoing seat that owns where AI goes and whether its output holds is a different shape of work from a scoped build, and the two should be priced differently. An engagement can carry some of each.
How much of the work becomes code. The fee is only part of the cost. The first fully measured run of the firm’s Deal Engine, its in-house underwriting software, on August 18, 2026, burned 10 to 15% of a week’s model allowance. Moving the fixed steps into code and saving the top model for judgment brought that to roughly 1%. A design that leaves the model making every call hands you a running bill on top of the fee.
How long the check has to keep running. Where the inputs keep changing and a wrong answer is expensive, verification runs as long as the system does, which is why a retainer is a common way to start. A stable, lower-stakes system may need a look once a quarter.
How much downside the seller carries. Someone who takes a fee, hands over a build and treats the result as your problem is selling something cheaper than someone who ties part of the fee to an outcome you both agreed to measure.

The Serious AI FAQ covers how a seat and a scoped build get structured, and the short version is that the structure follows the diagnosis. If you are still deciding between this seat and an engineering lead, Fractional Head of AI or Fractional CTO lays the two side by side.

What should a good candidate ask before quoting?

A Head of AI who can price the work will use the first conversation on your business and very little on their own résumé. Expect questions close to these:

Which decision or process is gating growth right now?
What does it cost today, in hours and dollars, all in?
Where is AI already working on it, and where is it falling short?
Who checks the output now, and what has gone wrong before?
What number would prove the work paid off, and what is its baseline?

The last one carries the most weight. At Serious Land Capital, underwriting a parcel by hand took 45 to 60 minutes. The Deal Engine brought it under 30 minutes unattended, and when it disagreed with a manual read by roughly $19K on a test deal, the cause surfaced the same day and the re-run landed at $87,992 against a hand-built $88,000. Those numbers mean something because there was a hand-measured baseline to compare against: the 45 to 60 minutes by hand and the hand-built $88,000. Without a baseline, a working system has no way to show it earned its fee.

When should a quote make you wary?

A number offered before anyone has looked at your operation is a guess, even when it arrives on letterhead. Be careful with a proposal priced mainly on build hours, or one with no baseline in it. The sharpest test is what the seller carries if the result does not land. Most AI consultants have never had a dollar at risk. Not one.

A paid diagnostic is a sensible way through this. It turns the guess into a scoped number. At Serious AI the findings are yours either way, and the diagnostic is usually credited against the engagement if you move forward.

What to do about it

Before you talk to anyone, write down the one constraint you most want fixed and what it costs you each month. Take the baseline for the process behind it: hours, cycle time, error rate and the all-in cost to run it, AI tools included. Then judge every quote against that cost, rather than against other quotes or against older build prices. Ask each candidate what they would measure in week one and what result would tell them to stop. The ones worth hiring answer with a business number and a check.

AI can produce the analysis. It cannot be wrong, because being wrong requires having something at stake, and that part stays with a person. Serious means underwritten.

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If you are weighing a fractional Head of AI and cannot yet say what the constraint is costing you, or AI is already at work on it without a number that shows it paying off, that is the place to start. The engagement opens with diagnosing the constraint gating the business and where AI is falling short on it, then building with verification sitting where a person still owns the outcome. You leave the first call knowing what your constraint is whether or not you ever hire us.