The demo was flawless.
The AI cleared a batch of prior auths in seconds. Referrals routed themselves. The pilot team hand-picked, motivated, watching closely, loved it. Someone said the word "transformational."
The contract got signed.
Then it went live across the whole practice.
Within two weeks a denied auth sitting untouched because it landed just below the model's confidence line and outside anyone's inbox. A referral that fell into the gap between "the AI handled it" and "someone will catch it." An edge case the pilot group never hit, now hitting forty times a day.
The AI didn't break. It did exactly what it did in the demo. What broke was everything around it.
The pilot ran on a small, clean, forgiving slice of reality with people quietly hovering to fix whatever slipped through. Go live and you inherit the messy cases, the real volume, and the exceptions nobody scoped. A 2% miss rate is invisible in a 30-patient pilot. At full scale, it's a compliance problem with a patient's name on it.
Here's the uncomfortable part: the pilot didn't lie to you. It answered a different question. The pilot answered can this work under ideal conditions? Going live asks, does this survive a Tuesday in a real practice?
Those are not the same question. Most healthcare AI gets bought on the first one.
What happened the last time a pilot looked great in your organization?
Xillium helps AI-supported workflows hold up under real-world volume, ambiguity, and exceptions. What that looks like in practice is on our Solutions page.
