A fractional Chief AI Officer, in your leadership meetings.

The Chief AI Officer is the youngest title on most org charts. Five years ago it did not exist. Two years ago it was a board-deck talking point. Now investors ask about it on every funding call, and founders are stuck deciding whether to hire one before they have a clear sense of what the person should own day to day. Base salary for a credible CAIO at a Series B in the US runs $250K to $350K. Loaded with equity, benefits, and recruiting fees, you are at $400K to $500K before the person has shipped a single agent.

The harder problem is scoping. A CAIO at a 5,000-person company runs an org. A CAIO at a 35-person company plays four roles simultaneously, half of which the founder used to own. Strategy, vendor selection, prototype building, hiring panel, board narrative. That is not one job, it is a portfolio of unfamiliar work, and most candidates with the title on their LinkedIn have never operated at sub-50 headcount. You end up paying senior-exec money for someone who needs onboarding to your stack and your customers before they add value.

So founders try to be the CAIO themselves. They block Thursday afternoons for "AI strategy," watch the time get eaten by sales calls, and end up shipping nothing. Or they hire a junior AI engineer and ask them to think like an executive, which never works. The middle option, a fractional Chief AI Officer who shows up in the room for the strategic decisions and the prototype work, is what most funded teams under 50 need in practice. We wrote about this category in detail in What Is a Fractional AI Department.

For a funded team under 50, the high-impact work of a Chief AI Officer compresses into a predictable weekly shape. One leadership meeting where AI direction gets debated and locked in. Two to three deep work sessions with engineering on whatever prototype is the priority that sprint. A vendor call or two. A memo. The rest of a full-time exec calendar gets filled with internal coordination that does not exist yet at your stage. You do not have an AI org to manage. You have a small team and a roadmap.

That compression is exactly why fractional works for this role specifically, in a way it does not work for, say, a fractional CTO at a hardware company. The strategic input is bursty. The prototype work is project-shaped. The hiring panel is a quarterly thing, not a weekly one. A fractional CAIO who shows up for eight to twelve hours a week gets to the same set of decisions a full-time hire would touch, without the fixed cost.

And the unit economics flip. A $400K annual loaded cost amortizes to roughly $33K a month. The same operator on a fractional retainer is a fraction of that, with no equity dilution, no recruiting cycle, and no six-month ramp. For a Series A to Series B team that needs AI direction now but does not have the AI surface area for a full-time hire, the math is not close. The risk profile is also lower because you can scope up or scope down month to month as the work changes.

The category most founders have seen is the AI consultancy that arrives with a slide team, runs interviews for two weeks, produces a 60-page strategic recommendation, invoices, and leaves. The deck is usually correct in the abstract. It is also rarely actionable inside a 35-person team that has three sprints and one engineer to spare. The strategy and the execution sit in different rooms. By the time your team translates the deck into a roadmap, the landscape has moved.

Hands-on means the opposite of that. Roy is in your repo, in your eval harness, in the room when a model choice is being argued. When the team needs a working agent prototype to show a customer next Tuesday, the fractional CAIO is the person who builds it with your engineers, not the person who briefs them and waits. Code reviews on AI-heavy PRs. Real model evaluation runs, not gut calls. Vendor demos taken in the same week they get requested.

The deliverable on a fractional CAIO engagement is not pages of analysis. It is decisions made, prototypes shipped, vendors selected, hires made, and a team that knows what they are building next month. The memos that do get written are short and load-bearing. Two pages on a build-vs-buy call. Three pages on the agent architecture for the priority workflow. Strategy as a byproduct of shipping, not a substitute for it.

For a deeper read on how the wider EOI department model layers under this, the AI Sales Department and AI Ops Department pages walk through how the fractional CAIO engagement maps to underlying execution capacity when you want both strategy and operating teams from the same operator.

A founder running a Series A or Series B team without a CAIO typically gives up 6 to 10 hours a week to AI strategy work they cannot fully resolve. Vendor calls that should not be on their calendar. Slack threads about model choice. Reading research papers at 11pm. Writing the AI section of the board update from scratch. Standing in for the CAIO in product reviews. None of these tasks alone is a crisis. Collectively, they cost a quarter of the founders week.

Reclaim that quarter and the company changes shape. The founder spends more time with customers, more time recruiting, more time on the things only a founder can do. The team gets a sharper AI roadmap because somebody whose entire job is thinking about it owns the answer. The board gets cleaner narrative, which compounds into the next round. The cost of the fractional CAIO is recovered in founder-time alone, before any of the prototype or vendor work shows up in the P&L.

For founders who want to validate the scope before committing to a retainer, the AI Strategy Audit is the one-time on-ramp. Two weeks, fixed price, working artifact and roadmap at the end. Many fractional CAIO engagements start as a strategy audit and convert when the founder sees what the next quarter of work would look like.