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Most government AI pilots don’t fail because the technology is bad. They fail because the problem was wrong, the data wasn’t ready, the demo lied, and no one defined what success actually meant.
In this Untangled episode, we break down why 90%+ of AI pilots never make it to production — and why flashy demos are often the biggest warning sign. Using real government examples, we explain the difference between AI theater and real operational value, why citizens ask messy questions that demos never show, and how agencies waste millions by buying solutions before understanding their workflows.
This conversation walks through the five most common AI failure points — wrong problem selection, dirty data, demo environments, lack of human oversight, and fake success metrics — and outlines a practical readiness framework agencies can use before spending a dollar.
AI isn’t magic. It’s software. And it only works when you treat it that way.
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