No senior engineering leadership at all
Founders run engineering directly with no senior tech voice. You need broad coverage across architecture, hiring, security, and infrastructure. AI is one of many items.
Fractional CTOs and CIOs own technology broadly. A Fractional Head of AI Transformation owns AI as its own program. The scopes and the cadences differ, and the two roles often work side by side.
If a fractional CTO or CIO fits better, I will say so.
Before you askEvery engagement starts with the AI Program Diagnostic: $2,500 flat, two weeks, credited in full if you move to the build or a retainer within 30 days. The Fractional retainer runs from $12,000 a month for one day a week, up to three days, 6-month minimum, quarterly renewal after, with a 14-day mutual exit from day one.
Use these on me too.
Founders run engineering directly with no senior tech voice. You need broad coverage across architecture, hiring, security, and infrastructure. AI is one of many items.
An ERP migration, the identity stack, security posture, or vendor consolidation across business systems. That is fractional CIO scope.
AI is on the someday list. Tech leadership matters more than AI leadership right now. Add a fractional AI lead later, when AI becomes a real portfolio.
One point of contact, broad scope, modest depth in any one area. That is the fractional CTO model. A fractional AI lead has a narrow scope and deep ownership.
If two or more of these show up, AI needs its own owner instead of a slice of someone's plate.
Tech leadership is in the seat. AI keeps getting pushed because it competes with five other priorities. A fractional AI lead pulls AI out as its own program so it stops losing to the latest incident.
Tools added, pilots run, adoption stuck under 20%. The pilots were dropped onto the process as it was, so the handoffs stayed. That gets fixed by mapping the workflow first, and general tech leadership rarely has the time.
The quarterly board memo needs an AI section that holds up. A measured baseline on every line, a kill list with reasons, and before and after numbers on what shipped.
Senior-exec pay and a six-month ramp. The fractional retainer covers the gap. I scope the role, help hire the right person, and hand off cleanly.
In most rooms this is not a choice between the two. A fractional CTO running engineering and a fractional AI lead running the AI program is a common pairing, with different scopes and cadences that fit together. The real question is whether AI gets its own owner or stays one line on the CTO's list.
A fractional CTO owns engineering org-wide: architecture, hiring, vendor selection, security, and roadmap across the whole stack. A Fractional Head of AI Transformation owns the AI program inside that: the workflow map, the production AI builds, AI vendor calls, evals, and adoption. Different scopes. They often coexist.
A fractional CIO owns enterprise IT, business systems, infrastructure, security, and vendor management. A Fractional Head of AI Transformation owns how AI changes the work itself: which workflows get rebuilt, in what order, against which baseline, and who owns each one. The CIO keeps the systems running. The AI lead rebuilds the work that runs on them.
When the core engineering or IT function needs leadership: architecture decisions, security posture, hiring engineers, a modernization roadmap. Broad technology ownership, with AI as one item among many.
When AI is the bet that needs its own owner. Pilots have stalled, spend is climbing, adoption is stuck, and the board is asking. If AI is one item among five on a fractional CTO's plate, it usually loses. A fractional AI lead runs it as its own program, with its own baselines, its own kill list, and its own evals.
If a fractional CTO or CIO fits better, I will say so.
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