The Slide Deck Problem
There is no shortage of AI consultants right now. They will map your data infrastructure, build you a transformation roadmap, and leave you with a beautifully formatted presentation. What most of them cannot do is tell you what happens when that roadmap collides with a real organization — with real budget cycles, real headcount constraints, and a sales team that hasn't bought in. That collision is where strategy either proves itself or falls apart.
Most AI advisors have spent their careers studying technology. That's not nothing. But technology inside a business is never just a technology problem. It's a people problem, a process problem, and a priorities problem — all at once. If your advisor has never lived inside those tradeoffs, they're giving you theory dressed up as strategy.
What Operator Experience Actually Buys You
An advisor who has run a P&L understands something fundamental: every recommendation has a cost, and not all of them show up on an invoice. There's the cost of distraction — pulling your best people off revenue-generating work to stand up a new AI workflow. There's the cost of sequencing — implementing a tool before your team has the discipline to use it. There's the cost of hype — chasing capability that sounds impressive but doesn't connect to how your business actually makes money. A former operator has made those mistakes. Or watched someone else make them. Either way, they know to ask the questions that protect you from the obvious traps.
"The best AI strategy isn't the most sophisticated one. It's the one your organization can actually execute."
When I evaluate AI opportunities — in my own companies or as an advisor — the first questions I ask have nothing to do with the technology. They're about the team. Who owns implementation? What does success look like in ninety days? What breaks if this doesn't work? Those are operator questions. And they're the ones that determine whether an AI investment creates real value or just creates activity.
The Credential to Look For
Before you hire an AI advisor, ask them this: tell me about a time you had to kill a technology initiative you believed in because the business wasn't ready for it. If they have a real answer — specific, a little uncomfortable, with a clear lesson attached — you're talking to someone who has operated. If they give you a framework, you're talking to someone who has consulted.
The companies getting real returns from AI right now aren't the ones with the most sophisticated vendors. They're the ones with advisors who've shipped products, managed teams, and answered to a board. Find someone who has been accountable for outcomes, not just recommendations. That's the only credential that matters.