AI is a Middle Market Growth Lever, not a Growth Strategy

AI Won't Save Your Growth Strategy. But It Might Accelerate the Wrong One.

If you're a mid-market CEO, you're hearing about AI from every direction. Your vendors are pitching it. Your competitors are announcing it. Your board is asking about it. And the data says you're listening — 53% of mid-market companies plan near-term AI investments, up sharply from mid-year. That's a lot of money moving fast. The question is whether it's moving toward something.

The 60% problem with AI investments

Gartner estimates 60% of AI projects will be abandoned because companies lack AI-ready data. That hits the mid-market harder — less margin for failed investments, less capacity to course-correct.

The pattern is familiar. A vendor demonstrates a compelling use case. The company invests. Six months later, the tool is half-implemented, the data is scattered across systems that don't talk to each other, and the team is still running the old process. This isn't a technology failure. It's a strategy failure.

The right question isn't "Should we invest in AI?" It's "What business outcome does this serve?"

What I've seen work

The most effective mid-market AI implementations aren't the most sophisticated. They're the most connected — to a specific process, a measurable outcome, and a team equipped to use them.

We faced this ourselves at Stratwell. We had the option to invest in several third-party AI solutions available to strategy firms. Instead, we stepped back and reconnected our investment to an actual business problem — streamlining prospect qualification and client intake. We built a custom AI-supported diagnostic tool that replaced our intake forms, sped things up for us and our clients, and produces an immediate strategic diagnostic report we use to inform deeper analysis. A win-win.

The mistake is thinking mid-market AI needs to look like enterprise AI. It doesn't. It needs to look like your business, running a little smarter in the places where speed and accuracy matter most.

Tech investment road-mapping is commonplace in strategies, but looking at it as capability enhancement is a different leadership exercise.

Before the first dollar moves

If you're making AI investments, your leadership team and board should be aligned on the basics. What's the business case? What data do we need, and do we have it? Who owns the process change? How will we know it worked?

If your organization can't answer those clearly, the investment isn't ready — regardless of what the vendor demo looked like.

Technology doesn't create strategy. Strategy creates the conditions where technology delivers value.

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Data referenced from the National Center for the Middle Market Q4 2025 Middle Market Indicator and Gartner research.

Shantini is CEO of Stratwell Partners. We help mid-market private companies connect technology investments to growth outcomes — so AI accelerates your strategy instead of distracting from it.