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We rolled out AI adoption training last quarter, and it was a game-changer. Instead of just showing people how to click buttons, we focused on why the AI made decisions and how to question its output. Folks started trusting the recommendations more once they understood the underlying logic, and our error rate dropped by nearly half. The key was making it hands-on with real data from our own workflows, not some generic example.