Stop building AI committees. You think that's transformation but it's not.
There are only three ways companies are actually approaching AI right now and two of them are broken.
Let’s talk about them.
1. The AI Committee Model
Looks smart, sounds strategic but does nothing. You’ve seen it:
Head of AI
Central team
Roadmaps, governance, prioritization
What actually happens:
Too far from the work
No one owns outcomes
Bottlenecks everywhere
Endless alignment meetings
You don’t ship anything, you just talk about it. This model produces decks, not results.
2. The Free-for-All Model
Feels fast, looks scrappy but goes nowhere. Every team runs their own experiments:
Marketing testing tools
Sales trying something else
Support spinning up pilots
What actually happens:
10–15 pilots running at once
No shared data or standards
Tool sprawl
Zero scale
Everyone is “busy” but nothing moves the business. This is just expensive randomness.
3. The Execution Pod Model
Execution lives in the business, discipline lives in a thin platform layer. Here’s what actually need to happen: AI is not a department, it’s how the work gets done.
Sales owns AI for pipeline
Support owns AI for deflection
Marketing owns AI for revenue
Each team runs real deployments tied to real numbers. Then you layer in a small central team, not to control anything, but to enable it. They don’t pick use cases, they don’t run pilots, and they don’t own outcomes. Their job is simple, make it fast and safe for the business to deploy AI that actually runs work.
Most companies are stuck in Model 1 pretending they’re in Model 3.
They hired a Head of AI and called it transformation. It’s not. We gotta stop building AI committees and start replacing work.
In Sales and wondering where to start? Check out the AISDR Summit.
That’s it for today. Connect with me on Linkedin if you actually want to understand what an Autonomous Organization looks like in the real world.
