Fractional chief AI officer: what one does and when you need one
By the Codivated team · Updated
A fractional chief AI officer is a senior AI leader who works with your company part-time, usually a few days a month on a retainer, to set the AI roadmap, pick the first projects, oversee vendors and builds, and get your people using AI well. It fits mid-market companies that need executive-level AI judgment but not a full-time executive yet.
What does a fractional chief AI officer actually do?
| Area | What it looks like in practice |
|---|---|
| Strategy and roadmap | A ranked list of where AI pays off in your business, and what to do first, second and not at all |
| Picking and shaping projects | Turning "we should use AI" into scoped projects with an owner and a number to beat |
| Build vs buy | Deciding which jobs a product handles and which need a custom agent, and reviewing vendors |
| Oversight of builds | Making sure agents ship to production with approvals, logs and an owner, not just demos |
| Governance and risk | Policies for data, tools and what agents may do on their own |
| People and adoption | Training leadership and teams, redesigning workflows, and keeping usage up after launch |
How is it different from an AI consultant?
A consultant usually delivers a defined project: an assessment, a strategy, a build. A fractional leader stays, owns outcomes over months, sits in leadership meetings and makes calls as things change. Many companies start with a short project to find the first win, then keep a fractional leader to run the program.
How is it different from hiring a full-time head of AI?
| Fractional | Full-time hire | |
|---|---|---|
| Time to start | Weeks | Often months of searching |
| Commitment | Monthly, can scale up or down | Salary, equity, long-term |
| Experience | Senior leader who has done it at several companies | Depends on who you can attract |
| Best for | Setting direction and getting the first agents live | A large program with a team to manage |
A common path: a fractional leader sets up the program and the first wins, then helps you hire the full-time person when the work justifies it.
What are the signs you need one?
- The board or CEO is asking about AI and nobody owns the answer.
- Several teams are trying different AI tools with no shared plan or policy.
- A pilot stalled and nobody is sure why. (Common, and fixable: see why AI pilots fail.)
- Vendors are pitching you agents and you can't judge the proposals.
- You have engineers, but not anyone who has put agents into production before.
What should you look for in a fractional AI leader?
Someone who has shipped AI systems to production and run them, not just advised on them. Ask what they built, how many people used it, what broke and what they changed. Look for both sides: technical depth to judge the build, and operating experience to change how teams work. Our team has driven the AI transformation of a 700-person company from the inside: sitting with departments, rebuilding workflows and training the 40-person senior leadership team on AI tools.
How is it usually priced?
As a monthly retainer for a set amount of time and access, rather than by the hour. Builds that come out of the roadmap are usually priced separately as fixed-scope projects. That's how we work too: an ongoing advisory retainer for priorities and roadmap, with builds as fixed-scope work.
Common questions
Is a fractional chief AI officer the same as a fractional CTO?
They overlap. A fractional CTO covers all technology; a fractional AI leader focuses on where AI changes the business, and may work alongside your CTO.
How many days a month does it take?
Often two to four days a month, more at the start. It depends on how many projects are running.
Can a fractional leader also build?
Some can. A leader who can also build gets the first agent live faster, which is often what earns trust for the rest of the program.
Sources
- The state of AI, McKinsey: how companies are organizing for AI, including leadership roles.