British International Investment to exit iMerit following a period of growth and impact

The AI tools that actually work share one thing in common. They start with clean, specific data — not ambition. You bought the tool. Paid the monthly fee. Maybe even sat through the onboarding call.

The AI tools that actually work share one thing in common. They start with clean, specific data — not ambition.

You bought the tool. Paid the monthly fee. Maybe even sat through the onboarding call. Then watched it collect digital dust while your team went back to spreadsheets. That's not a you problem. That's a setup problem.

Here's what a recent major AI investment exit quietly confirmed: the companies scaling AI successfully aren't the ones chasing the flashiest tools. They're the ones who first got serious about their data — what they have, what's missing, and what decisions it actually needs to support.

Most small business AI failures happen before the tool is even purchased. The vendor never asked what your data looks like. Neither did the guru who sold you the roadmap.

The one thing you can do this week: before evaluating any AI tool, write down the single business decision you make most often that frustrates you. That's your starting point. Not a platform. Not a demo. A decision.

The right tool becomes obvious once you know the problem it's solving.

What's one AI purchase you've made that never got off the ground — and looking back, what do you think went wrong?

#AIStrategy #SmallBusiness #BusinessGrowth #AIImplementation

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