← Chief AI Officer

A fractional Chief AI Officer, without the executive salary.

Someone has to own AI at your organization: decide what it's for, keep it safe, get it into daily work, and prove it paid off. I do that as a fractional officer, with every price stated in writing before work starts.


What the seat covers

Strategy and ownership

One owner for AI, and a short list of business numbers it is supposed to move: hours, dollars, response time.

Policy and governance

A plain-English use policy, approved tools, off-limits data, and a clear view of which vendors already use AI on your data.

Deployments that ship

Real workflows put into daily operation, starting with the repeated tasks that eat the most staff time.

Measurement

A before number, an after number, and a readout leadership can take to the board.

People and continuity

Hands-on staff training and a written playbook your organization keeps, so nothing leaves when a person does.


How it works

Step 1

A 30-minute call

Free, no pitch. We look at where you are and whether a fractional AI officer is the right fit, or whether something smaller covers it.

Step 2

A readiness audit, fixed price

I map your repeated work, your data, and your risks, and hand you a prioritized plan. The price is in writing before we start.

Step 3

A 90-day engagement

One owner, one policy, and at least one deployment in daily use, measured against the before number.

Step 4

The ongoing seat

A monthly role: new deployments, governance reviews, and training as your staff and the tools change.


Fixed prices, in writing

Start here

AI Readiness Audit

$2,500
fixed price, in writing

I map your repeated work, data, and risks across all five areas and hand you a prioritized plan.

  • Interviews with the people who do the repeated work
  • Repeated-work inventory and an AI tools and vendor review
  • A one-page AI use policy, drafted for your organization
  • A prioritized plan with your first deployment picked and its before number set
  • A readout meeting with leadership
First 90 days

90-Day Fractional CAIO

$12,000
fixed price, in writing

One owner, one adopted policy, and at least one deployment in daily use, measured.

  • Everything in the audit
  • Policy adopted and staff trained hands-on
  • At least one deployment in daily use, measured against its before number
  • A shared playbook your organization keeps
  • A 90-day readout for leadership and the next two deployments picked
Ongoing

The Ongoing Seat

$3,000/mo
per month · cancel anytime

Your fractional AI officer, month to month: after the first 90 days, or from day one if your foundations are already strong.

  • New deployments as priorities change
  • Governance and vendor reviews
  • Training as staff and tools change
  • A monthly readout for leadership

Smaller team that mainly needs AI set up and staff trained? AI setup packages start at $1,500 →

Organizations I’ve built systems for

Client logos including Subaru, Winnebago, Washington University School of Medicine, Seattle University, Grimco, Forest ReLeaf of Missouri, CPAs for Hire, Crossings, Werling Nexus, and more

How ready is your organization for AI?

Ten questions about how your organization works today. Answer from 1 (never) to 5 (always), then get your breakdown by area and the first thing to fix, by email.

Question 1: We can name the three repeated tasks that eat the most staff time in our organization.
Question 2: Leadership agrees on what we want AI to achieve, in business terms: hours, dollars, or response time.
Question 3: We have a written policy on which AI tools staff may use and what data must never go into them.
Question 4: Our key information (customers, documents, procedures) lives in systems, not in people’s heads or inboxes.
Question 5: Someone owns AI decisions here, with the time and authority to act on them.
Question 6: We have at least one AI use in daily operation whose results we could measure today.
Question 7: When we try a new tool, we decide in advance how we will know whether it worked.
Question 8: Our staff have had hands-on AI training, not just access to a login.
Question 9: We know which of our vendors already use AI on our data.
Question 10: If our most AI-savvy person left tomorrow, the playbook would stay with the organization.
Your score
0 / 50
Answer all ten to see where you land.

Why me for the seat

years turning chaos into systems
23+
qualified leads from one demand engine
30,500+
software products built and shipped
7
households reached on PBS
255M
See the full track record →

I've spent 23 years turning chaotic work into systems that run: a PBS documentary in 255 million households, a demand engine that produced 30,500+ qualified leads for a $500 million manufacturer, and AI products Sizzle builds and runs today.