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How to build an AI strategy that actually ships to production
A practical method for turning AI ambition into systems that reach production, built around value mapping, honest prioritization, and closing the Production Gap.
TL;DR
Most AI strategies fail at one of two points, the deck that never becomes a plan or the pilots that never reach production. To ship, map AI to where it changes your specific economics, rank use cases by value and feasibility, sequence around proof points, and close the five parts of the Production Gap for every bet you keep.
2026-06-20
Why generative AI pilots fail to reach production
Most AI pilots work in the demo and die on the way to production. The reason is rarely the model. It is the five gaps between a demo and a system a business can rely on.
2026-06-12
What "AI-native" actually means
AI-native is used to mean everything and therefore nothing. Here is a precise definition, a maturity ladder to locate yourself on, and why the rung you are on is the first honest strategic fact.
2026-06-05
How to tell a real AI company from a wrapper
Every company is an AI company in the pitch. For investors, the hard question is whether the advantage is durable or a thin layer the next model release will erase. Five questions get you to an honest answer.
2026-05-28
The boutique alternative for AI strategy, and when to choose it
The large firms are not the only option for AI strategy, and often not the right one. An honest comparison of boutique and big-firm AI consulting, and how to choose between them.
Turn your AI ambition into something that ships.
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