I call myself a Fractional AI Officer. It's a title I borrowed from the established "Fractional CTO" and "Fractional CFO" model that small businesses already understand. But I've noticed that people nod along when they hear it and then ask, "So what does that actually mean, day to day?"
Fair question. Let me walk you through it.
First, what "fractional" means
A full-time Chief AI Officer at a mid-size company makes $250,000 to $400,000 a year, plus benefits. For a small to medium sized business, that's absurd. You don't need a full-time AI executive. You need an experienced one, on a part-time basis, who shows up with a plan and the ability to execute it.
That's the "fractional" part. Same caliber of expertise. A fraction of the commitment and cost.
What it looks like in practice
Here's a realistic picture of what happens when a business brings me on as their Fractional AI Officer. This isn't hypothetical - it's the pattern I follow with every engagement.
Weeks 1-2: The deep dive. I study your business the way a new executive would. I sit in on how your team works. I look at your tools, your data, your workflows. I ask a lot of questions - some of them annoying. "Why does this step exist?" "Who decided it should work this way?" "What happens when Sarah is out sick and nobody knows the process?" By the end of week two, I know where the bottlenecks are, where the opportunities are, and where AI will make the biggest measurable impact.
Weeks 3-4: First deployments. I don't write a 50-page strategy document. I build something. Usually two or three AI systems targeting the highest-impact opportunities I identified in the deep dive. These might be a lead qualification agent, an automated reporting system, a customer communication tool - whatever moves the needle most for your specific business. Each one gets deployed into the tools you already use (Slack, email, CRM, whatever) with clear rules about what it can do on its own and what requires human approval.
Months 2-3: Optimize and expand. The first systems are running. Now I'm looking at the data - what's working, what needs adjustment, where the next opportunity is. I'm training your team to work with the systems confidently. I'm sitting in your leadership meetings as your AI advisor, answering the "can AI do this?" questions that come up constantly. And I'm building the next round of systems based on what we're learning.
Ongoing: Strategy + execution. This is where the retainer really pays off. Every month, I run a strategy session to assess where you are and what to build next. I manage and optimize your deployed AI systems. I handle the ad-hoc requests ("Hey Barry, can we automate this thing?"). I train new staff. I deliver a monthly report showing exactly what your AI systems are doing - hours saved, tasks completed, exceptions handled. No mystery. No black box.
Why this is different from hiring an AI consultant
Most AI consultants do one of two things. They either advise - give you a strategy, a deck, a roadmap, and wish you luck implementing it - or they build, as a developer, without the strategic context of why.
I do both. I sit at the executive level to set strategy AND I get my hands dirty building the systems. There's no handoff to a junior developer. No "implementation partner" who's never met you. When I say something is going to work, it's because I'm the one building it.
That combination - strategy plus execution, boardroom plus codebase - is what makes the Fractional AI Officer model different from everything else in the market.
Is this right for your business?
The FAiO model works best for owner-operated businesses with 5 to 100 employees who are serious about making AI a real part of how they operate - not just a thing they experiment with on the side. If your business runs on spreadsheets, institutional knowledge, and "the way we've always done it," there's almost certainly a significant opportunity.
The first step is always a conversation. Book a strategy session and tell me what's going on in your business. I'll tell you whether the FAiO model makes sense - and if it doesn't, I'll tell you that too.