You got the AI tool. Nobody uses it. $200/month quietly burning.
That's not a you problem. That's a wiring problem.
Keith Ferrazzi made a sharp observation recently: everyone thinks connecting AI a
You got the AI tool. Nobody uses it. $200/month quietly burning.
That's not a you problem. That's a wiring problem.
Keith Ferrazzi made a sharp observation recently: everyone thinks connecting AI agents to the business is the finish line. It isn't. The wiring is actually the easy part.
The hard part — the part nobody sells you — is the human side. Who owns the output? Who trusts it? Who changes their daily habit to actually use it?
Most AI implementations fail not because the technology is wrong. They fail because the behavior change was never designed. The tool got installed. The workflow didn't.
Here's the one thing you can do differently right now:
Before buying anything new, pick one repetitive task your team complains about. Map exactly what happens today — step by step. Then ask: where does a human make a decision that a tool could support?
That gap is where AI actually works.
You don't need a transformation. You need one working example your team believes in.
What's the task in your business that eats the most time for the least strategic return? Drop it below — I read every reply.
