The Prescription: Where to Start With AI
The first question isn't which model to use. It's where in the organization do decisions actually get made. Map the decision architecture first. Deploy the technology second. Most organizations do this in the wrong order.
Most organizations ask the wrong first question about AI. Which model should we use? Which vendor should we evaluate? Which pilot should we run? Those are builder questions. They matter. But they are not the first question.
The first question is architectural.
Before a single line of code gets written, someone has to draw the plan.
Where in the organization do decisions actually get made? Where does information slow down before it reaches the people who need it? Where would faster, better information change the outcome?
Those three questions, answered honestly, tell you more about where AI can create durable advantage than any vendor demo or model benchmark.
In my experience, that diagnostic surfaces two or three places in every organization where AI can fundamentally change how work gets done. Not incrementally. Fundamentally.
It also surfaces the places where AI deployment will fail regardless of the technology. Usually because the decision structure is broken underneath. You cannot automate a bad process. You get bad outcomes faster.
The second question is organizational. Who owns the outcome? How do you measure it? What changes when the AI is working and what changes when it isn't?
Most AI initiatives skip this entirely. The technology gets deployed. The incentives stay the same. The operating model stays the same. And six months later the organization wonders why adoption is low. It is almost never a technology failure. It is almost always a design failure.
The organizations that get this right do three things in sequence. Map the decision architecture first. Deploy the technology second. Redesign the incentives and operating model third, in parallel with deployment, not after.
That sequence is not intuitive. Most organizations want to start with the technology because the technology is visible and exciting and easy to demonstrate to a board. The architecture work is harder to show in a slide. But it is where the advantage actually gets built.
AI is a powerful builder. It still needs a plan.