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AI leadership.

Perspectives from JEDX practitioners on strategy, governance, organizational design, and the practical realities of deploying AI at scale. No vendor content. No hype. Just direct thinking.

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AI Strategy
March 2026 · 8 min read

Why Most AI Strategies Fail Before They Start

The majority of AI initiatives collapse not from technical failure, but from a fundamental mismatch between organizational readiness and strategic ambition. Companies invest in the model before they've invested in the data, the governance, or the change management that makes AI programs stick.

The fix is not more budget. It is more rigor at the front end—and the willingness to delay the exciting work until the foundational work is done.

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Key Insight
"The most common failure mode in enterprise AI is not a technology problem. It is an organizational readiness problem that was never honestly diagnosed."
78%
of AI projects fail to reach production
All Articles
AI Strategy
March 2026 · 8 min read

Why Most AI Strategies Fail Before They Start

The majority of AI initiatives collapse not from technical failure, but from a fundamental mismatch between organizational readiness and strategic ambition.

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Governance
February 2026 · 5 min read

Building an AI Policy That Doesn't Kill Innovation

Good governance enables speed. Bad governance creates a policy document no one reads. The difference is in the design principles you start with.

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Org Design
January 2026 · 6 min read

The Case for the Fractional CAO at Series B and Beyond

At what stage does a company need dedicated AI leadership? And what does that leadership actually look like in practice when you can't afford a full-time executive?

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