Standing at the Doorway to Enterprise AI

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Standing at the Doorway to Enterprise AI

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In this article, Greg Twemlow explores the corporate paradox where widespread AI adoption fails to deliver significant organisational improvements due to hidden labour and unverified outputs. He introduces the concepts of botsitting, the time lost correcting machine errors, and botshitting, the act of submitting unvalidated AI work. To combat the erosion of cognitive capital, Twemlow proposes the Context & Critique Rule, a framework designed to ensure human judgment remains central to the technological interaction. He suggests that businesses must move beyond seeing AI as a mere efficiency tool and instead use it as a catalyst for deeper thinking and rigorous interpretation. By implementing auditable governance protocols like the Context & Critique Cover, leaders can transform AI from a liability into a measurable asset that strengthens human discernment. Ultimately, the text argues that true competitive advantage in the modern era stems from active intellectual engagement rather than automated speed. Read the article.

About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).

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