Fractional Chief AI Officer

Most AI initiatives don't fail because the technology doesn't work. They fail because nobody owns them.

I serve as the Chief AI Officer for companies with 20 to 200 people — the accountable owner of your AI strategy, without the $400,000 salary or the nine-month executive search.

30+ years leading transformation at

Bank of America Wells Fargo Capital One
Ken Lengel, Fractional Chief AI Officer

The uncomfortable math

You bought the licenses. Your P&L hasn't noticed.

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

Three reasons AI stalls at your size

No owner

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.

No foundation

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.

No measurement

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

Assess, prioritize, install

Assess

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.

Prioritize

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.

Install

Governance, policy, and the two or three highest-value use cases shipped into production with measurement attached. Your team trained, not just informed. Then ongoing ownership for as long as you need it.

The workshop

Try the thinking before you hire it

Three working tools, free, no signup. They're the same frameworks I use inside engagements — build them into your own process if you like.

Fit

This is built for a specific kind of company

A good fit if you

  • Have 20 to 200 employees and $5M to $50M in revenue
  • Are past curiosity — you've tried something and it stalled
  • Need AI leadership but can't justify a full-time executive
  • Care whether this shows up in your numbers

Probably not a fit if you

  • Are looking for someone to build a custom model
  • Want a strategy deck with no implementation
  • Haven't decided whether AI matters to your business yet
  • Need someone available daily rather than a few days a month

Why me

Enterprise discipline, mid-market reality

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.

30+

Years in IT & AI

CAIC

Certified AI Consultant

100s

Executives guided

Certified Artificial Intelligence Consultant

Certified Artificial Intelligence Consultant

Engagements

Named, scoped, and priced

Almost nobody in this market publishes prices. Here they are.

2–3 weeks

Readiness Audit

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.

90 days

Foundation Sprint

From $25,000

Governance installed, two to three use cases shipped to production, measurement attached, team trained.

For companies past deciding who need someone to own execution.

Ongoing

Fractional CAIO

From $6,000 / month

Two to four days a month. Roadmap ownership, vendor decisions, governance, board reporting.

For companies where AI is becoming material to operations.

Field notes

Recent writing

Start with a conversation, not a proposal.

Twenty minutes. I'll ask what you've tried, what stalled, and what you're actually trying to accomplish. If I'm not the right fit, I'll tell you and point you somewhere better.

Book a 20-minute conversation