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Comparison · For operators evaluating AI leadership models

Fractional Head of AI Transformation vs AI Automation Agency.

The wedge in one sentence: agencies ship the agent. Fractional ships the agent AND the org redesign, eval bar, vendor calls, hiring, and team handoff. Per-hour, agencies are cheaper. Per-outcome, the math flips once you account for the strategy layer.

Side by side

Side-by-side. Three columns, no spin.

Same dimensions, both sides. Third column names what to look for when scoring vendors.

Fractional Head of AI Transformation

Strategy + Build + Org + Handoff

Deliverable: Production AI shipped to your repo, eval bar live, team trained, vendor calls owned, hiring run, adoption defended.

Engagement: 6-month minimum, 1 to 3 days per week.

Code lives where: Your repo, your cloud, your accounts. Model-agnostic.

Handoff: Runbook, eval suite, named patterns, observability. Team runs on-call after.

Sits where: Inside the exec staff. Reports into CEO, CTO, or COO.

AI Automation Agency

Build only, fixed scope

Deliverable: The agent, the workflow, or the automation, built to spec.

Engagement: Project fee, fixed scope.

Code lives where: Varies. Some agencies retain ownership or run the agent on their stack.

Handoff: Demo, sometimes documentation. Eval, observability, and production reliability often skipped.

Sits where: External vendor. Coordinates with one PM on your side.

What to look for

Scoring criteria

Does the code ship to your repo? Or does the agency keep it on their infrastructure?

Is there an eval suite at handoff? No eval = no production reliability after the demo.

Who owns vendor calls and budget defense? If the answer is "you," and you don't have an AI lead, you bought half the work.

What happens at month 6? If the agency stays embedded forever, you're paying for the strategy layer they don't provide.

Pick the agency

When an AI automation agency is the right call.

If your room looks like this, hire an agency, not a Fractional.

You have a Director-altitude AI leader in-house

Someone owns strategy, eval bar, vendor calls, adoption. You need extra hands to ship a defined automation faster than in-house can.

Scope is small and well-defined

One document pipeline. One Zapier-style integration. One agent for one workflow. Project fee, fixed deliverable, 4 to 8 weeks. Fractional is overkill.

You own your eval and observability stack

Braintrust or equivalent already running. You'll wire the agency's output into your reliability bar yourself.

First-time AI test, you want a quick win

A small one-shot experiment to see if AI moves a metric. Fractional is wrong shape for a single-shot test. Agency or Scoped Build fits.

Pick Fractional

When Fractional Head of AI Transformation is the right call.

If two or more show up, the build-only model leaves the strategy layer unowned.

No Director-altitude AI leader in-house

Agency can build. No one will own budget defense, vendor consolidation, or adoption cadence. That work doesn't disappear, it goes unowned.

Past builds shipped but didn't get used

Agent works. Adoption stalled. That's an org-design problem, not a build problem. Fractional fixes both layers.

3+ AI projects, no portfolio view

Each has its own agency, stack, eval. No allocation logic across them. Fractional pulls the portfolio together with Three-Horizon and a kill list.

The team needs to own AI after

Agencies leave with the knowledge. Fractional trains the team to run without me. Eval suite, playbook, named patterns, runbook. Not a permanent dependency.

Still triaging?

Get in touch. If an agency or a Scoped Build is right, we'll say so.

Quoted in writing within 48 hours. Honest framing on which model fits, even when it isn't Fractional.