A few months ago I met a longtime local owner for lunch in Waxhaw. He runs a solid service business, the kind that has survived multiple economic cycles by staying practical. Somewhere between the sweet tea and the barbecue he asked the question I hear more and more:
“I’ve been hearing about AI for two years. Should I be doing something with it, or is this another thing that will blow over?”
I told him the truth as I saw it: most of what he was hearing was noise. Then I asked him a different question.
“What is currently costing you the most money or the most hours each month?”
He thought for a minute and named two things: slow follow-up on new leads and the time his office spent turning messy customer emails into clear work orders. We spent the rest of lunch talking about those two problems. AI came up only as one possible way to shrink them.
That conversation changed how I talk about adoption.
The Usual Way Owners Encounter AI
They see a headline, a demo, or a peer who bought a new tool. The framing is almost always about the technology itself—what it can do, how fast it is improving, why businesses that ignore it will fall behind. The owner is left trying to figure out where this new thing fits inside an already full week.
That approach produces two common results: paralysis or scattered experiments that never quite stick.
A Better Starting Question
Forget the tool category for a moment. Ask:
“What is the most expensive friction in the business right now?”
The answer is usually specific and measurable:
Leads that sit too long
Quotes that die without follow-up
Administrative work that steals hours from higher-value tasks
Missed calls after hours or during peak times
Once the problem is clear, the next questions become practical. Is there a simple system that would shrink this problem? Does any current AI tool help with that system? What would the tool need to cost, in money and time, to be worth it?
In the Waxhaw conversation we never debated whether AI was “the future.” We talked about response time and email cleanup. The technology was secondary.
What I Now Tell Owners
Start with the leak, not the tool.
Measure the cost of the leak in dollars or hours.
Look for the lightest reliable fix.
Only then decide whether an AI tool is part of that fix.
If the best solution is a better checklist, clearer templates, or a simple scheduling change, use that. If a well-chosen AI tool clearly reduces the cost of the leak, use the tool. The order matters more than the label.
Why This Approach Feels Quieter—and Works Better
It keeps the owner in control of the agenda.
It avoids buying solutions to problems that are not actually painful.
It makes the return on any new tool easier to judge.
It treats AI as one more option in the toolbox instead of a mandatory upgrade.
The owner in Waxhaw left lunch with two concrete experiments and no new subscriptions. A few weeks later he told me the follow-up changes alone had already recovered work. The AI piece, when he eventually added it, was small and targeted.
That is the pattern worth repeating.
You don’t need the fanciest tool. You need the right fix.
The next time someone asks whether you should “get on AI,” answer with a question about the most expensive friction in the business. The rest of the conversation usually becomes much clearer.
