AI initiatives rarely break down because the models are weak. They break down because leadership treats AI as an interesting side program rather than as a serious management framework. That distinction matters. When AI is managed as a side effort, the organization gets scattered pilots, uneven sponsorship, fragmented ownership, and a long list of proofs of concept that never reshape performance. The AI Leadership framework offers a different path. It treats AI as an enterprise capability that mu
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Executives hear “data is the new oil” every week. AI proves the opposite. Data is more like plumbing. Nobody celebrates plumbing until it breaks, then everything stops.
The AI Maturity framework highlights Infrastructure and Integration as a central barrier. The Technology portion of the 10 20 70 model is where scaling gets real. Leaders should focus on building a platform that supports reuse, reliability, and speed.
What “Minimal Viable Infrastructure” Means in Practice
Minimal viable infrastructu
