For the past few years, we've watched teams go all in on AI: building, breaking, and scaling it into everything they do. Which is great, until you realize half your workflows are duplicated, nobody owns the ones that matter, and things stop working without a signal.
Most teams don't struggle with using AI, but they struggle with scaling it in a way that holds up. Here are six of the most common reasons for the growing pains—and what to do instead.
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