Why engagement model matters
A common cause of disappointing Fractional CAIO engagements is a model that does not match the company's stage. Pick the model first. Pick the operator second.
There are three core models. They map to three different stages of the AI maturity curve. Dollar figures on this page are illustrative market tiers and not my pricing, and time commitment is scoped per engagement.
Model 1: the pilot engagement (90 days)
Best fit: companies with no formal AI strategy and no internal AI leadership. CEO is feeling the pressure and needs to move.
Scope: AI readiness assessment, prioritized roadmap, governance scaffolding, two to three production use cases shipped.
Outcome: by day 90, the company has a working AI capability, a clear story for the board, and a decision on what comes next.
Illustrative market figure: $60K to $90K total. Highest leverage on first dollar spent.
Model 2: the scale engagement (6 to 12 months)
Best fit: companies that completed a pilot engagement or otherwise have early AI traction. Now they need to scale the work across more use cases and more business units.
Scope: portfolio management of 5 to 12 use cases, vendor consolidation, internal team build, governance maturation, executive narrative for the board and customers.
Outcome: by month 12, the company has a real AI capability with measurable impact, an internal lead ready to take over, and a roadmap for the next 12 months.
Illustrative market figure: $180K to $360K total.
Model 3: the steady-state retainer (ongoing)
Best fit: companies that have an internal AI leader and need senior coverage on top. Or companies that have decided not to hire full-time and want to keep the Fractional CAIO as a permanent function.
Scope: a monthly cadence scoped per engagement. Strategic reviews, board prep, vendor escalations, governance maintenance, executive coaching.
Outcome: durable senior AI leadership without the cost or risk of a full-time hire.
Illustrative market tier: $10K to $20K per month for a lighter cadence. That is a market illustration, not my pricing. I price Fractional CAIO engagements at $15,000 to $35,000 per month depending on scope and term.
The progression that wins
A common progression is to start with a pilot, move to a scale engagement, and end in either a steady-state retainer or a clean hand-off to an internal hire. Skipping the pilot tends to leave a scale engagement without a proven use case to scale.
Pick the right model for where you are. Move through the progression as the company matures.
How do you choose a model by stage?
| Your situation | Model | First question to ask |
|---|---|---|
| No formal AI strategy and no internal AI lead | Pilot (90 days) | What will be true in 90 days that is not true today? |
| Early traction: two or three use cases in production | Scale (6 to 12 months) | Which use cases do we stop, and which do we scale? |
| An internal AI leader in place | Steady-state retainer | Where do we need senior coverage on top of the team? |
Why does the pilot come first?
Scaling is where companies stall. In McKinsey's November 2025 state of AI survey, 88 percent of respondents reported using AI in at least one business function, yet roughly one third said their companies had begun to scale it. Gartner's June 25, 2025 press release predicts that over 40 percent of agentic AI projects will be canceled by the end of 2027 because of escalating costs, unclear business value or inadequate risk controls. A 90 day pilot is a bounded way to find out which of those three problems you have before a larger commitment. For the calendar behind a pilot, see the 90 day roadmap, and for what each model costs, see the cost guide.
Sources
- McKinsey, The state of AI in 2025: Agents, innovation, and transformation (November 2025). In a survey of 1,993 respondents, 88 percent reported using AI in at least one business function, roughly one third said their companies had begun to scale it, and 39 percent reported any enterprise-level EBIT impact.
- Gartner, Over 40% of agentic AI projects will be canceled by end of 2027 (press release) (June 25, 2025). Gartner predicts that over 40 percent of agentic AI projects will be canceled by the end of 2027 because of escalating costs, unclear business value or inadequate risk controls.