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GAT.
Fractional AI leadership

Someone has to own the AI program. That is the job I do.

I was a Technical Program Manager at eBay, reporting to a VP of Engineering and working with directors across Core Product and Core Technology, its two largest engineering organizations. My job was surfacing risk early and getting roughly a dozen teams aligned on outcomes. I ship production AI today as the founder of baxie. Your AI work gets an owner, not another advisor.

Edwin Guzman, founder of Guzman Applied Technologies
Edwin Guzman · Founder, GAT

ex-eBay TPM · Founder of baxie

The problem

Your AI work is not stalling on the technology.

You have tried a few things. Something demoed well. Very little of it is doing real work.

AI programs fail the way engineering programs fail, and the failure has nothing to do with the models. It is the dependencies between the pieces that nobody is tracking:

  1. No owner. AI is everyone's priority and nobody's job. The work has a champion, not an owner.
  2. No sequence. Four pilots run at once. Each one waits on data, access, or a decision from another. None of them finish.
  3. No accountable human. When a workflow produces a bad result, the answer is "the AI did it." That answer does not survive a board meeting.

That is a program problem. It gets solved by someone who has run programs, not by buying another tool.

How it works

Three steps, in this order

Every engagement starts with the diagnostic. I will not sell you a build before I know what it depends on, and I will not take a retainer from a company that has not tried one AI use case yet.

Step 1 · Two weeks

AI Program Diagnostic

A dependency map across everything AI-related you have running: owners, integration points, vendor risk, downstream impact. Plus a 90-day plan sequenced so the pieces stop blocking each other, with a named human accountable for each line. The same discipline I applied on engineering programs at eBay, pointed at your AI portfolio. Read the engagement.

Step 2 · Scoped

Production build

The first system from the plan, shipped into the stack your team already runs. No migrations. Guardrails, eval suites, and observability come with it, so your CFO can see what it does and what it costs. Includes the shared knowledge base your team and your AI both read from.

Step 3 · Handoff

Your team takes it

Training so your people run the systems, read the evals, and spot the next opportunity without me. The engagement is not done when the code ships. It is done when your team can take it. Retainer available after handoff if you want the next build.

The terms, before you ask. Diagnostic runs two weeks. Retainers run 1 to 3 days per week on a 6-month minimum, quoted in writing within 48 hours of the call. Every engagement carries a 14-day mutual exit from day one, and after month three either side can leave with 30 days notice. Days not worked are refunded. I hold about four active client commitments at a time, so the calendar is the real constraint.

The operator

Where the program discipline comes from.

Technical Program Manager at eBay, reporting to a VP of Engineering. My peers were directors and engineering managers. My day job was getting them to agree on trade-offs across large engineering programs, roughly a dozen teams spanning Core Product and Core Technology, eBay's two largest engineering organizations.

That was the job before AI was production-ready. Owners, integration points, risk, downstream impact. It is the same map an AI portfolio needs, and it is the layer almost every AI consultant skips, because most of them have never run a program.

  • I own the program, not a workstream in it. Dependencies, sequencing, vendor decisions, and the trade-off calls nobody wants to make.
  • I ship production AI today. Founder of baxie, in paid beta. Vision extraction on architectural plans behind a review gate enforced in code, and a public write-up of what it cannot do yet.
  • Not an advisor. Not an automation shop. I own the outcome and hand it to your team.
Why GAT

Why GAT, not a new hire

A senior AI leader is hard to find, slow to hire, and expensive to keep. Most candidates who clear the bar have run a pilot, not owned a program that shipped across a business.

  • Senior leadership now, not in six months. I embed and start setting direction in week one.
  • Strategy and delivery from the same person. The one who maps the dependencies is the one who ships against them.
  • No permanent headcount. I build the systems, train your team to own them, and hand off. You carry the capability, not the salary.
  • Program execution at real scale. Large engineering programs at eBay, now pointed at your AI portfolio.

What "fractional" means here: I do the work a full-time AI leader would do, at the fraction of time the work actually needs. Setting direction, aligning the people who have to agree, owning delivery. Without the seat, the equity, or the 9-week search.

FAQ

Questions

How is this different from an agency or hiring in-house?

An agency hands you a tool and leaves the program unowned. A hire takes nine weeks to find and six months to ramp. I own the program from week one, ship the systems, train your team, and hand it off.

Do you just advise, or do you build?

I build. The plan exists so the build lands. You end with working systems and a team that can run them, not a report.

How fast until something is live?

The diagnostic delivers in two weeks. First system in production inside 60 to 90 days from the scope session.

What size company do you work with?

Typically 20 to 200 people. The size matters less than the situation: you own the AI decision, you have tried at least one use case, and nobody is running the program. I have taken that work in professional services, distribution, healthcare software, and single-family offices. Program discipline travels across industries. That is the whole point of it.

Where does our data live?

On your stack, under your controls. The shared knowledge base is the layer your team and your AI both read from. It is not a place your data leaves, and it is not a product I resell you.

What does it cost?

The AI Program Diagnostic is a fixed fee, quoted on the call. Builds are priced to the scope, retainers to the day count, both in writing within 48 hours. I do not bill hourly and I do not take vendor referral fees, so the number does not move once it is written.

Tell me what is stuck. I will tell you if I can fix it.

Thirty minutes. If there is a fit, I will scope it. If there is not, you will leave with a sharper read on your next move, which is worth the half hour on its own.

Not ready to talk? Score your AI program first. Twelve questions, about four minutes, and you get the scored breakdown by email.

Book 30 minutes with Edwin