Fractional AI advisor

Before you back the AI plan,
check where it could fail.

I work with leaders to test the claims, find the missing evidence, and ask what would make the plan wrong. You get a clear call on what to try, what to check, and what should wait.

$7,500 or $12,500 monthly three-month minimum
📅 Book a free discovery call →

The seat

A clear yes, no, or not yet.

I give leaders an independent read on AI decisions. Each call comes with the reason and the next owner. The work can cover Microsoft 365 Copilot, comparisons with ChatGPT, Claude, or Gemini, use rules, team practice, and leader prep.

I am not paid by a software company to like its software. That makes “no” available, which is a surprisingly useful feature in an AI plan.

Independent No vendor commissions and no tool quota.
Operator-led The advice comes from teaching, building, and seeing adoption inside real organizations.
Bounded Advice and adoption support do not drift into implementation labor.

Good fit

The role is missing, but the decisions are not.

This fits a founder, chief executive, or operating leader with enough AI activity to need an accountable point of view, but not a full internal AI leader.

It is not ongoing tool management, system deployment, automation building, or open-ended staff augmentation. If the company needs hands on keyboards every day, it needs a different kind of partner.

Try the check

A guess became the business case.

Made-up teaching example. This is not a client result or a captured tool response.

Source assumption

The proposal estimates that AI could save five hours per person each week. No team trial has been run.

Practice AI recommendation

Approve the rollout. It will save five hours per person each week.

Show how to catch it

Test the claim before the spend

The estimate is still an assumption. Ask for a bounded trial that measures time spent, time saved, and review work. Define what result would justify going ahead.

Try the Catch Test →

Put one name on the decisions.

Bring the decision, the evidence behind it, and the cost of getting it wrong.

Review all four offers