Fix Each AI Mistake Once

Most teams fix wrong AI answers one at a time. The AI Accuracy Flywheel turns each one into a test, so the same mistake doesn’t come back.

November 18, 2026 | 2PM ET / 11AM PT (60 Minutes)

How many active customers do you have? Ask your AI assistant, then ask sales, and you might get two different numbers. Now the meeting is about whose number is right, and tweaking the prompt only fixes it until the next time someone asks.

Andrew Brust opens with an outside view of why enterprise AI stalls on trust. Then Mark Palmer and Daniel Gray walk through the four steps of the AI Accuracy Flywheel and show why, in AtScale’s preliminary BIRD-Interact runs, adding a semantic layer raised accuracy by about 20 points on average, more than switching to the best model did.

What you’ll take away:

1. Why a smarter model doesn’t fix wrong business answers
2. How model, ask, compute and test feed each other, so an error stays fixed
3. How to build accuracy tests from the questions your team already asks