Every leader hears the same drumbeat right now. Do AI. Don't get left behind.
But almost nobody tells you the useful part: where to start.
So companies do one of two bad things. They freeze and do nothing. Or they panic and try to do everything. Both waste a year.
The trap of the big, exciting idea
"Let's reinvent how customers talk to us." Huge. Risky. Touches everything. Start there and you'll be in meetings for months — and if it goes wrong, it goes wrong loudly, in front of customers.
That's a terrible first step. Not because it's wrong forever. Because it's wrong first.
A simple test for your first project
Look for the boring job that has three things at once: it's done a lot, it's mostly the same every time, and a mistake isn't a disaster. Reading forms. Sorting requests. Answering the same question for the hundredth time.
That's your first AI project. High volume, low risk, easy to prove. You learn how AI behaves in something safe — before you bet the business on it.
- High frequency: the task happens dozens or hundreds of times per day
- Low variability: most inputs follow a predictable pattern
- Low stakes on failure: a wrong answer is correctable, not catastrophic
- Clear metric: you can measure before and after without argument
Win small, then grow
When the first boring job goes well, two things happen. People stop being scared of AI. And you've earned the proof to try something bigger.
You don't leap to the top of the mountain. You find the first solid step.
Closing view
The goal isn't the most impressive AI project. It's the first one that works.
Win small, win safe, then grow.
