I spent a good chunk of my early life wanting to be on Saturday Night Live. I’d do the Adam Sandler guitar bits, the “Opera Man” voice, and I was that guy at every family holiday. Eventually, I stepped onto the stage at a nightly comedy club in Portsmouth, New Hampshire. Yup, that was me. And even though I didn’t make it, I learned a ton and look back on that time fondly.

A major realization is that stand-up comedy is the ultimate low-latency environment. You tell a joke, and the audience gives you a data point immediately. They laugh, or (too often in my case) they don’t. If they don’t laugh, you don’t stand there for six months explaining the technical architecture of the punchline. You kill the joke, you pivot, and you move on to the next bit.

In the world of Data and AI, we’ve lost that instinct.

Too many organizations are treating AI like a science experiment instead of a performance. They are building bridges to nowhere because they’ve forgotten the most important rule of the stage: If it doesn’t land with the audience, it’s not working.

The Laptop Trap vs. The Main Stage

Right now, the corporate world is full of warm-up acts. I see companies deploying small AI pilots on individual laptops or in isolated silos. They look “cool,” but they don’t have any legs. They aren’t solving a business problem; they’re just checking a box to say they “did AI.”

Treating AI like a science experiment is a luxury the mid-market can’t afford. When we work with customers, we flip the script. We move away from the Gartner Hype Cycle wishlist and toward what I like to call Minimal Viable Impact (MVI).

In comedy, MVI is the first chuckle. In data, MVI is the moment a model moves a specific KPI on your P&L. If we can’t prove within weeks—not years—that we are moving the needle on your credit risk or your supply chain, we hit the Kill Switch.

The Last Mile: Comedy is in the Delivery

You can have the best written joke in the world, but if the delivery is off, the room stays silent.

The same goes for AI. We spend 90% of our time with data scientists building amazing, defensible models, but we forget the Last Mile—Business Adoption. If the sales team doesn’t change how they operate based on the data, the ROI is zero. Actually, it’s less than zero, because you’ve already paid for the engineering.

At Evolution Analytics, we focus on the Human Transition. We want to make sure the data is in the hands of the doctor, the salesperson, or the floor manager at exactly the right time to make a decision.

Don’t let your AI strategy become a high-priced science experiment that never makes it out of the lab. Take the stand-up approach. Test fast, demand a reaction (ROI), and if it’s bombing, have the courage to change the act.

So, if you want to talk MVI (or learn more about my stand-up career), I want to hear from you.

Let’s connect Vincent Belanger.

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