AI programmes often stall for human reasons: unclear boundaries, inconsistent standards, trust concerns (including surveillance), and change fatigue. That can lead to under-use (lost value) or over-reliance (quality and risk exposure).
This mini-guide helps you create the conditions for adoption that are safe, credible, and sustainable.
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