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Industry insights

This section collects analyses of external research and publications on enterprise AI adoption: McKinsey, BCG, Thoughtworks, a16z, and others. The goal is to show how the market's key ideas relate to this framework's operating model — where they overlap and where they diverge.

Each review's structure​

  • Source — link to the original material.
  • TL;DR — the gist in a few sentences.
  • Key ideas — the author's main conclusions and recommendations.
  • Link to the framework — how the ideas map to the AI operating model.

Why this matters​

Any internal methodology should be tested against external context. Most major consultancies and venture analysts describe similar enterprise AI problems: the gap between pilots and production, the governance deficit, weak link to business impact, talent and data issues.

Mapping these reviews to the operating model helps:

  • see which ideas we cover well and which ones we miss;
  • find blind spots in the framework;
  • explain the methodology in language familiar to the market;
  • integrate new insights into our own practice faster.

What's inside​

The section grows as notable new publications appear.