How do you become a Chief AI Officer?

You don't need to code to become a Chief AI Officer

The seat is an operating job. It decides what AI is for, keeps it safe, gets it into daily work, proves it paid off, and leaves a playbook behind. None of that requires building models or writing code.

What it requires is an instinct: build the repeatable system first, then let the results follow it in. I call it the Systems Instinct, and you can practice it starting this week.

Where the Systems Instinct comes from

In 2008 I was a broke filmmaker trying to get a documentary onto public television. Program directors gather every year to watch submissions and vote. To get picked up you need about 50 votes out of 250. I figured nobody in that room would judge my footage first. They would judge my packaging first. So before the film was finished, I studied the covers, posters, and credit sequences of well-funded documentaries and built mine to the same conventions.

I got 200 votes. Not 50. Two hundred.

Years later, as fractional CMO for Grimco, a $500 million manufacturer, I made the same move in a different room. Marketing requests were coming in through 12 separate channels across 65+ locations. I consolidated them into one production pipeline before chasing any campaign results. The demand engine built on top of it produced 30,500+ qualified leads.

Different rooms, same instinct. That instinct is exactly what the AI seat needs.

The five habits, with something to do this week

Here is the Systems Instinct broken into five habits. Each one has a small exercise you can finish in a week.

• Process first. AI can only speed up work that is written down. Undocumented work just gets faster chaos. This week: pick your most repeated task and write its rule in ten lines or fewer.
• Runs without you. An AI officer is judged on what keeps running when they are not in the room. This week: hand one recurring job to someone else using only your written notes, then fix the notes wherever they got stuck.
• True, specific claims. Executives have heard every AI promise. They trust the person whose claims survive a second look. This week: rewrite your current pitch with no adjectives, only facts and figures.
• Repeatable proof. Proof is a before number, an after number, and a method someone else could run. This week: write up one past win as a before-and-after with a real number.
• Adapt and measure. New tools land every month. Adapt the system instead of starting over, and decide how you will know something worked before you try it. This week: for the next thing you try, write down what “working” means and when you will check.

Three paths into the seat

Path 1: inside your organization. You are already the person people ask about AI. Make it official. Do not ask for a title first. Ask for the job. Write a one-page proposal covering the problem (AI happening by accident), the first 90 days, the one number you will move, and what you need: time, authority, and a small budget. Then deliver the 90 days. The title follows the proof.

Path 2: as a consultant or fractional officer. Many organizations need the seat but cannot justify a full-time executive. Package the work so it is easy to say yes to: a free short call, a fixed-price readiness audit, a fixed-price 90-day engagement, and a monthly ongoing seat.

Path 3: your next chapter. If you have years of operating experience in marketing, operations, finance, education, or running programs, you already have most of what the seat needs. Your path is proof. Run the five habits on something real, document one before-and-after win (even on your own work), and lead with that, not with a certificate.

What goes in a one-page role proposal

If you are taking Path 1, this is the page you bring to leadership. Keep it to one page.

• The problem: where AI is happening by accident here today, such as shadow tools, scattered experiments, and open risk.
• The proposal: one owner for AI (you), and who you report to.
• The first 90 days: a one-page policy, one deployment in daily use, one measured result.
• The number: the business number you will move, and how you will measure it.
• What you need: hours per week, a small tool budget, and authority to set the policy.
• The checkpoint: a readout date where leadership decides whether to continue.

Proof beats credentials

One documented, repeatable win beats a résumé full of lucky breaks. A certificate says you studied AI. A before-and-after number says you used it to change something. Leadership is buying the second one.

I have used AI in daily operations since 2022, across proposals, audits, research, and content. None of the systems I run started as “AI projects.” Each started as a repeated task I wrote down first.

If you want to know which habit to work on first, the free 10-question Systems Instinct assessment will tell you.