The Unglamorous Version of AI
Most of what gets written about AI in business is about the frontier and new models, new capabilities, what's coming next. That's interesting, but it's not where the value shows up inside a traditional operating business.
The value shows up somewhere much less exciting. It shows up in a dispatch desk that used to take fifteen minutes to route a job and now takes two. In a quoting process that used to sit in someone's inbox overnight and now goes out the same hour. In call transcripts that used to disappear the moment the call ended and now get summarized, tagged, and routed to the right person automatically.
None of that makes for a good headline. All of it makes a real difference to a business that's been running the same way for twenty years. Where to actually look for AI opportunities When looking at a business, whether it's one you own, one you're considering buying, or one you're advising...you should not be asking "where can we use AI." You should be asking where the business is losing time and money to manual, repetitive work, and then asking whether AI is the right tool for that specific gap. Sometimes it is. Often the better answer is a simpler process fix, and AI would just be adding complexity to a problem that didn't need it.
The businesses that get the most out of AI adoption tend to share a few traits:
A high volume of repetitive, structured decisions. Scheduling, routing, basic customer communication, document review — anywhere the same type of decision gets made dozens or hundreds of times a week is fertile ground.
Institutional knowledge trapped in one or two people's heads. AI tools are increasingly good at capturing and organizing knowledge that used to live only with a long-tenured employee or an owner who's been doing it a certain way for years.
A backlog of "we've always meant to fix this" processes. Every operating business has a list of things everyone agrees are inefficient but nobody's had the bandwidth to address. That list is usually the best starting point. What it's not It's not replacing your team. It's not a slide deck about transformation. It's not bolting a chatbot onto your website and calling it strategy. The businesses that get real value from this work treat it the same way they'd treat any other operational improvement, a specific, measurable fix to a specific, measurable problem, rolled out carefully, with the people who do the work involved in deciding how.
That's a less exciting story than the one usually told about AI. It's also the one that actually moves a P&L.
