Most mid-market companies do not need a chief AI officer on payroll. They need one written plan, one named owner inside the company, and someone experienced to sit with the board for a few hours a month until the plan holds. This article is for the CEO or owner of a company with a company of a few dozen to a few hundred people, often backed by private equity, who has been told to "get an AI plan" and is deciding whether to hire someone, rent someone, or do it themselves.
I was COO and then President of a public company that closed more than 40 acquisitions, and I ran the integration on most of them. Now I write fixed-fee AI plans for CEOs of private-equity-backed and owner-led mid-market companies through 013 Labs.
What a chief AI officer does in a large company, and why it does not transfer
In a very large company, a chief AI officer runs a team. They hire specialists, pick the technology the whole organization will use, manage a budget, and answer to regulators and a board that reads about AI weekly. A 200-person company has a different problem. It has no team to run and no technology estate to standardize. It has a few people already using AI tools on their own, a board or lender asking for the plan, and a CEO with no spare week. Copying the large-company role means paying for a department you do not have.
What the smaller company needs is narrower: decide, write down, assign, and check. That work is real, but it is not full time.
What the fractional version does, month by month
Done well, the role is a short list of concrete duties. Each example below is a hypothesis, a composite and not a client.
1. The written plan. One document, in plain English, that says where AI is already used, what the company will do next, and who is accountable. The plan is the spine of everything else.
Picture a distribution company whose lender asked for its AI position. The CEO had a folder of vendor pitches and no answer. The first deliverable is two pages the lender can read in five minutes.
2. The never-build list. Three to five lines of things nobody in the company may build or buy, starting with: nothing that sends money, signs a contract or makes a promise to a customer without a named person's approval.
Picture a manager who wants quotes sent automatically. The list gives the CEO a ready answer.
3. The two or three named people. Most companies already have someone colleagues go to when a spreadsheet misbehaves. The role finds them, gives each a written scope (what they may build, what they must never touch, who signs off), and meets them on a regular schedule. If you want a practical way to start, the guide to spotting your AI champion walks through it.
Picture a finance analyst who has quietly built a better month-end checklist with an AI tool. Without a scope she is a risk. With one she is the company's first owner of a result.
4. The board's quarterly question. Boards ask the same thing each quarter: what changed, what did it cost, what could go wrong. The role prepares one short written answer. The agenda and the ten questions are on one page: AI board briefing template.
5. Vendor decisions. The role reads each pitch, asks the plain questions, and gives the CEO a written recommendation: buy, wait, or say no. Leadership decides.
Picture a software vendor offering to "transform" customer service. The recommendation is one paragraph: what it would replace, who would own it, how you would know it worked, and what happens to your data.
6. The data rule. One sentence, in writing, sent to everyone: no customer or pricing data goes into an AI tool the company has not approved. Someone has to own it, remind people, and answer the "can I use this one?" questions.
What the role should not do
A good fractional lead stays out of three jobs.
Run IT. Your IT lead keeps systems running and secure. The AI role decides what the business should change and in what order. The two work together from week one.
Build things. The person advising you on what to build should not be paid to build it. Otherwise the plan drifts toward the work.
Become a dependency. If the company cannot answer a board question when the fractional lead is on vacation, the role has failed.
Three signs you need one, and two signs you do not
You probably need one if:
- A board, lender or buyer has asked for your AI position in writing, and the honest answer today is a list of tools.
- People are already using AI tools and nobody decided that. Customer records, quotes or price lists are going into public tools, and no one is accountable.
- Your leadership team has no spare hours to own this, so the question is passed around and never answered. If you are newly PE-backed, the first 100 days after the deal shows where this question tends to land.
You probably do not need one if:
- You have one clear internal owner with real time and authority, and a plan they already wrote. Then a fractional lead adds a meeting, not value.
- You want a tool installed. That is a purchasing decision, not an advisory role, and an advisor is the wrong way to make it.
How to judge a candidate: five questions and the answers you want
You are hiring judgment, so ask for it. Here are five questions, with what an experienced operator wants to hear.
- "What would you want me to refuse to build?" You want a short, specific list that starts with money, contracts and customer promises, not a list of exciting projects.
- "Who inside my company will own this in a year?" You want a name, or a plan to find one in the first month. If the candidate talks only about their own role, walk away.
- "Tell me about a time you said no to a vendor." You want a real example of a decision made on cost, risk or fit. Someone who has never said no has never been responsible for the money.
- "What do you not do?" You want a clear edge: no building, no running IT, no legal or tax advice, and a willingness to say when you need your own counsel.
- "How will I know it is working?" You want a measure you can check against a starting point, such as margin, response time, cash, errors or capacity. You do not want "adoption" or "engagement."
The hand-off: how the role ends
The fractional role is built to end. In the first stretch, the lead writes the plan, sets the never-build list and finds the named people. In the middle, they run the monthly routine and prepare the board's answer. Toward the end, the work shifts: the company's own person takes over the plan, the vendor questions and the board report, and the lead steps back to review.
If the company's own person can run the routine without help, the engagement should end rather than stretch to fill the time. That is the outcome you are buying.
Where 013 Labs fits
Our Fractional AI Strategy Lead role works this way: a senior strategy lead who sits with your leadership team, prepares the roadmap, runs vendor and build evaluations, keeps a monthly routine with your internal champions, signs off on what they build before a second team relies on it, and sends a written report to the board each quarter. Your leadership decides. Blocks are three months and continue only when you choose to renew.
Frequently asked questions
What is a fractional chief AI officer?
A senior person who does the chief AI officer's job part time. They write the company's AI plan, set what must never be built, name the people who own it, and report to the board. They advise and prepare. Your leadership still makes the decisions.
How much time does a fractional AI officer need?
Less than most owners expect. The early weeks are heavier because the plan has to be written. After that, it is a standing seat in leadership meetings, a regular check-in with your internal owners, and a short written report to the board each quarter.
Fractional chief AI officer vs AI consultant?
A consultant usually delivers a project and leaves. A fractional officer stays for an agreed period, sits with leadership, and keeps the plan current. If you need one answer for the board, a consultant may be enough. If the plan must survive contact with the business, you want the standing role.
Can a fractional chief AI officer build the systems too?
They should not. The person advising you on what to build should not be paid to build it. Keep the advice separate from the construction. Your IT team or a separate builder does the work.
Do I need a chief AI officer for a mid-sized company?
Rarely full time. Most mid-sized companies need one written plan, one named owner inside the company, and experienced outside judgment for a limited period. If you already have an owner with time and authority, you may need nothing more.
Not sure where you stand? Take the 3-minute AI readiness scorecard.