The Signal
Yesterday, my mother asked me if I train people on AI. My first instinct was no — but I got curious.
What do you mean by "training people on AI"?
Her answer was clear: leaders on her board and in her network consistently say they and their teams need AI training.
That one word stopped me.
The Core Insight
People do not need to be trained on AI.
The idea is so big it's almost hard to hold.
Does "training on AI" mean Claude? ChatGPT? Microsoft Copilot? Advanced modeling techniques? Are we really saying that every time a new platform emerges, leaders and their teams need a new training program to survive it?
That's not a strategy.
That's playing Magic Tiles 3 on your smartphone.
The real strategy isn't AI training or prompt engineering courses.
It's this: Organizations need the intelligence they already possess made ambient.
The Model
OAI³ is the discipline of designing and activating the emergent intelligence organizations already possess — formed through culture, accumulated intelligence, products and services, relationships, and operational patterns.
OAI³ treats intelligence not as a software capability, but as an organizational condition.
It examines how human cognition, technology, workflows, outputs, and decision authority interact — and what happens when they don't.
In short: OAI³ is not about AI.
It is about the organization.
The Trap
When the market shifts, when a new trend emerges, when an exciting tool appears — the first instinct is almost always the same:
We need to figure out how to integrate this.
But that instinct, left unchecked, becomes its own kind of dysfunction.
The Better Move
AI is a tool. And like any tool, it should be used to solve a problem you already understand — not acquired first and then matched to a problem invented to justify it.
At this point, no one is really behind on AI — yet.
But McKinsey reports that 70% of digital transformation initiatives fail to meet their objectives.
Organizations running generic AI training programs or paying consultants to teach their teams Microsoft Copilot are headed down the same road — because they still don't have a clear picture of their own intelligence.
When that clarity is missing, AI doesn't fix it. It amplifies the confusion.
The better move is first to understand your organization as an intelligent system.
Before you ask which tools, ask:
How does intelligence actually move through our organization — and how easily can it be accessed and contextualized?
Are we optimizing isolated AI/tech tools, or designing an environment where decision-making intelligence is woven into every department and team?
What would it mean to treat organizational intelligence as infrastructure — not a byproduct?
Once you can answer those questions, you're no longer chasing tools. You're building infrastructure — and any tool, including AI, finally has a real place to plug in.
That's what OAI³ is for.
One Question
I'll leave you with this:
If AI had never been invented, would you feel the need to change anything about your organization at this moment?
Just a yes or no. If you're open to sharing, I'd love to know your answer.
— Ari