How the best-run
companies are deploying
AI without the lawsuits,
the bias scandals, or the
board blowups.
You can do the same. This book gives you the rules to set and the test to run — in an afternoon, not a committee.
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By Jeff Yelton
43 years in the C-suite · $245M exit · McKinsey-engaged
Jeff worked with
Harvard
01 — The Problem
Your AI is already making decisions about hiring, pricing, approvals, and risk. Most of those rules came from data, not from anyone in your company. That works — until one decision becomes biased, illegal, or indefensible — and then leadership owns the consequence.
02 — The Solution
The Moral Code of AI gives leaders a plain framework for deciding what AI is allowed to optimize for, who owns those decisions, and how the rules get set before deployment — not reverse-engineered after the incident.
03 — The Outcome
You deploy AI you can defend — to your board, your lawyers, and a buyer in diligence. You know what it is optimizing for, you know who owns it, and you are never blindsided in the room.
What's in it
The three-question test for any AI decision — and how to run it with your board in a single meeting.
A simple way to document what each AI system is allowed to optimize for — and what it isn't.
How to assign clear accountability, so “the algorithm did it” is never your defense.
The questions a buyer's diligence team now asks about your AI — and how to have the answers ready.
The difference between an AI policy that protects you and one that just looks good in a binder.
Look inside
A few pages in
Why Jeff
wrote this
Jeff Yelton spent 43 years building, running, and selling technology companies — including one he took from $45M to a $245M exit. McKinsey brings him into Fortune 50 situations.
He wrote The Moral Code of AI because he watched the values gap hurt companies for decades — long before AI made it instant and invisible.
Don't take
my word for it
Every CEO is racing to adopt AI, but few have someone who can help them govern it. Jeff gives leaders a practical blueprint they can actually use.
Very few advisors combine Jeff's strategic clarity with the ability to actually execute. If you want a partner who keeps you relevant in the decade ahead, start with Jeff.
Written for
the people who
get asked the
hard question first
CEOs and boards of larger, PE-backed companies deploying AI at scale.
Operating Partners who need portfolio companies defensible on AI before exit.
CIOs and CTOs who can run the model but can't yet answer for what it optimizes.
Leaders who already have agentic AI working and know the hardest part is still ahead.
If you think the hard part is behind you, this is the part that isn't.
Get The
Moral Code
of AI