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You Don’t Have an AI Problem. You Have a Data Problem.

Most AI projects don’t fail because of the technology. They fail because of what the technology is running on. Duplicate records, disconnected systems, inconsistent data that means different things to different people. AI doesn’t fix any of that, It amplifies it. Here are the four data problems hiding in almost every business, five questions to know if you have them, and where to start before your next AI investment goes sideways.

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The $2.4 Million AI Mistake: What Most Companies Get Wrong Before They Even Start

A manufacturing CEO spent $2.4 million on an AI initiative that completely failed. Six months of work, nothing worked, back to manual processes. The problem? They skipped the infrastructure assessment everyone said was “boring.” This pattern repeats across industries: companies make expensive mistakes in the same order for the same reasons. Here’s what actually separates AI success from disaster, and why foundation-first isn’t slower, skipping it is.

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