Fractional Chief AI Officer
I serve as your Chief AI Officer for 60 to 90 days. I build the system, train your team, and leave. If you still need me after that, I built it wrong.
30+ years leading transformation at
The uncomfortable math
95%
of AI pilots deliver zero measurable impact on profit and loss
60%
never make it out of pilot and into production
~80%
of the work to get there is governance, data, and measurement — not models
Your team is using ChatGPT. Someone has run a pilot. Maybe you've bought a tool or two. And when you look at your numbers, nothing has moved.
That isn't a technology problem, and buying more tools won't solve it. Every company has access to the same models you do. What separates the companies getting real returns from the ones burning budget is unglamorous: someone senior owns the outcome, the foundation underneath is sound, and results get measured against something.
Most companies your size have none of the three. Not because they're behind — because it isn't anyone's job.
Why this happens
AI gets assigned to whoever seems most interested — usually someone in IT or operations who already has a full-time job. Nobody is accountable for the outcome, so there is no outcome.
Tools get bought before processes are documented or data is accessible. The pilot works in a demo and collapses on contact with how your company actually operates.
Nobody defined success before starting, so nobody can tell whether it worked. Budget gets renewed on enthusiasm and cut on the first difficult quarter.
How this works
A structured evaluation of where you actually stand: data foundation, workflow clarity, governance, team readiness, and leadership alignment. Not a survey — a scored diagnostic that produces a real picture, including the parts you won't enjoy.
Every company has thirty possible AI applications and the capacity for three. I identify which are worth pursuing given your budget and your team's real readiness — and which to buy, which to partner on, and which to skip entirely.
Governance, policy, and the highest-value use cases from your roadmap shipped into production with measurement attached. Your team trained, not just informed.
Your team runs the system independently. I document everything, train the operators, and remove myself. You keep my number. You don't keep my invoice.
The workshop
Three working tools, free, no signup. They're the same frameworks I use inside engagements — build them into your own process if you like.
These are free because AI made them trivial to build. I'd rather give them away than pretend they're worth a consulting fee.
Model the annual value AI could realistically recover in your business — with every assumption exposed and adjustable, so the number survives a CFO.
Open the model →
Answer six questions, get a complete acceptable-use policy written for your sector and risk posture. Editable, printable, ready for your leadership team.
Draft a policy →
Score an AI vendor against the questions that predict regret — data rights, exit terms, output ownership. Generates the diligence email for you.
Score a vendor →
Fit
Why me
I've spent more than 30 years in IT and AI, leading digital transformation at Fortune 50 companies including Bank of America, Wells Fargo, and Capital One — organizations where AI either produces measurable results or gets audited out of existence.
Their governance, vendor evaluation, and measurement practices aren't proprietary. They're just unknown to companies your size, and most of it scales down far better than you'd expect.
I've guided hundreds of executives through AI implementations. Every engagement runs through a structured assessment and prioritization system I built — you get scored opportunities, honest signal strength on each, explicit build-buy-partner calls, and a sequenced plan.
I spent 30 years building AI and technology systems inside Fortune 50 companies. Now I spend my time figuring out how to make people like me obsolete.
30+
Years in IT & AI
CAIC
Certified AI Consultant
100s
Executives guided
Certified Artificial Intelligence Consultant
I use the same approach on my own practice. The tools above were built with AI. My onboarding is automated. My client reporting is mostly hands-off. When I can no longer justify charging for something, I document it and give it away — or I reduce my rate accordingly.
If I'm going to tell you to trust AI with your operations, the least I can do is trust it with mine.
Engagements
Almost nobody in this market publishes prices. Here they are.
From $7,500
A scored assessment, every opportunity identified and sequenced, and a board-ready roadmap.
For companies who need a defensible plan before spending real money.
From $25,000
Governance installed, prioritized use cases shipped to production, measurement attached, team trained.
For companies past deciding who need someone to own execution.
From $15,000 / month
I run the program. Strategy, tactical guidance, vendor and team direction, status your board can read — and a handoff at the end.
For a defined initiative that needs senior ownership until it lands.
Field notes
Five reasons initiatives stall, none of them technical — and why that's good news.
Read →Five practices large companies use that your 60-person company can copy for free.
Read →You have a process documentation problem — and it's why implementations stall.
Read →Twenty minutes. I'll tell you what's dead, what's worth saving, and whether I'm the right person to do it. If I'm not, I'll say so — and point you somewhere better.
Book a 20-minute conversation