What is a fractional Chief AI Officer?

What a fractional Chief AI Officer is

The Chief AI Officer job is the same whether it is full-time or fractional: decide what AI is for here, keep it safe, get it into daily work, prove it paid off, and leave behind a playbook the organization keeps.

The fractional version does that job for a defined scope and a stated price, alongside your team, without adding a full-time executive to payroll. The goal is not to make you depend on the fractional officer. The goal is a system that keeps running after they step back.

When an organization needs a fractional AI officer

Many organizations need the seat but cannot justify a full-time executive. These are the signs it is time:

• Staff are already using free AI tools on their own, with no policy about what data goes in.
• A few people have found clever uses, but none of it is written down or shared.
• You pay for “AI-powered” software and nobody can say whether it saved an hour or a dollar.
• Leadership or the board keeps asking for an AI policy, and nobody has the time or authority to write one.
• One AI-savvy person has become the single point of failure.

Fractional vs. full-time vs. promoting from inside

Every organization needs the job done. That does not always mean a new full-time hire.

If someone inside is already the person everyone asks about AI, promoting them may be the right path, and a fractional officer can help them get started. If nobody inside has the time or authority, a fractional officer can own the seat directly for a fixed scope. A full-time executive makes sense when the volume of AI work is large enough to fill the role on its own.

How fractional AI officer engagements are structured

I package the work so it is easy to say yes to. Each step is a fixed scope, and you can stop after any of them.

• A short call. Free. We find out whether there is a real problem and a real owner on your side.
• A readiness audit. Fixed price. I map the five areas the seat owns (strategy, policy, process, proof, and people) and deliver a prioritized plan.
• A 90-day engagement. Fixed price. One owner, one policy, one measured win in daily use.
• The ongoing seat. Monthly. New deployments, governance reviews, and training as staff and tools change.

How I price it

These are my prices, not industry averages. Each one is stated in writing before work starts.

• Readiness Audit: $2,500, fixed.
• 90-day engagement: $12,000, fixed.
• Ongoing seat: $3,000 per month.

Why fixed prices instead of hourly billing

I price by scope and outcome, not by the hour. Organizations, especially schools and nonprofits, approve fixed numbers far more easily than open-ended hours. A fixed price also keeps both sides focused on the result: one policy, one win, one measured number, not time spent.

What you should have at the end of 90 days

A fractional engagement should leave things behind that you own. At day 90, look for:

• A named owner for AI and the one or two numbers it is supposed to move.
• A one-page AI use policy, adopted with a date and a review date.
• One deployment in daily use, with a before number, an after number, and its cost.
• The working steps and prompts saved in a shared playbook, with an owner.
• Staff trained hands-on, and a one-page readout for leadership with the next two deployments.

What to look for when hiring one

Ask for proof, not adjectives. A good fractional AI officer can show you a before number, an after number, and a method someone else could run. Ask how they handle policy and sensitive data. Ask what stays behind when they leave.

My own background: 23+ years turning chaotic work into systems, AI in daily operations since 2022, and seven software products built as a solo builder. My full track record is on the record page.

If you want to see where your organization stands first, the free Company AI Readiness assessment checks all five areas.