Sanford Group

Fractional AI Officer

You don’t need another AI. You need somebody who has already built one that works.

The companies that call here rarely have an AI problem. They have twenty pilots, no way to tell which ones are working, and nobody senior enough to kill the rest. That is a judgment gap rather than a headcount gap, and closing it does not require a full-time hire. It requires somebody who has built agentic systems that hold up under real use, and who will tell you which of your twenty to stop paying for.

The comparison

Priced against the hire, not against an agency.

A senior AI leader who has actually shipped production systems is a permanent line on the payroll: salary, equity, benefits, and a search fee before any of it starts. You know what that band looks like inside your own company better than we do. The search alone runs months, and that assumes the right person says yes.

This engagement starts in weeks rather than quarters and carries no severance risk. The tradeoff is honest: you get senior judgment and a working operating layer, you do not get somebody in every internal meeting.

What it costs

A full-time senior hire

Salary, equity, benefits and a search fee, permanently on the books

This engagement

From $15,000 per month, on retainer

Time to start

A full-time senior hire

Months of search, if the right person says yes

This engagement

Weeks

If it does not work

A full-time senior hire

Severance, and the search runs again

This engagement

End the retainer

What you are buying

A full-time senior hire

A person, and whatever they have built before

This engagement

Senior judgment and a working operating layer

Presence

A full-time senior hire

In every internal meeting

This engagement

Not in every internal meeting

The last row is a real loss and it belongs in the table. If you need somebody in the room every day, hire the person. No figure is quoted for the alternative because it depends on the size of your company, and you know that number better than we do.

The engagement

What the retainer covers.

A real inventory, and a kill list

Every AI initiative in the company, what it costs, what it actually returns, and a recommendation on which to fund, fix or stop. Usually the highest-value month of the engagement.

The operating layer, built

Agent workflows for the functions where the return is provable, with verification gates so output nobody checked never reaches a customer or a regulator.

Governance that fits your regulator

Approval gates, provenance on published claims, and an audit record. Built to the standard your industry is actually held to rather than a generic policy.

Your own material, run safely

Most teams are either pasting sensitive material into consumer tools or avoiding AI entirely because nobody can say which is safe. The useful answer is a setup that runs against your own data under your own controls, and a clear line about what never leaves.

Your team, made capable

The internal people who will own this after the engagement ends get trained on the systems while they are being built, not handed a document afterward.

Vendor and buy decisions

An independent read on what to build, what to license and what to walk away from, from somebody who is not reselling anything.

Platform access

Contero seats where content production is part of the mandate, so the capability is running rather than described.

Two message hypotheses: one marked clearable in green, one marked blocked in red with the claim that blocks it.
The gate, deciding. The upper line clears because both claims beneath it survived review. The lower line is the one we would most like to say, and it is blocked, because absence from a document is not a position. Two things unblock it: somebody reads the procedural orders and establishes what happened, or it gets rewritten down to the smaller claim the record does carry. Softening the wording until it passes is not one of them.Public record · Virginia SCC, PUR-2023-00101, closed · method demonstration, no client

Fit

Who this is and is not for.

A fit

  • Companies with real revenue, a regulated or reputation-sensitive market, and AI spend that nobody can currently defend.
  • Leadership that wants somebody accountable for the call rather than a report recommending further study.
  • Organizations where published output carries the company name and being confidently wrong is expensive.

Not a fit

  • Pre-revenue companies. The work here assumes there is an operation to make better.
  • Anyone who has already decided and wants the decision validated. Cutting a program is a legitimate finding here. Supplying a conclusion somebody arrived with is not.
  • Teams who want a shopping list. Which platform to standardize on is a real question and gets a real answer. Which of this quarter’s tools is best is not one worth paying for.

The first conversation is free and specific.

Bring one initiative you cannot decide about. If there is nothing useful to say about it in half an hour, there is no engagement here worth either of our time.