51 enterprise AI deployments that cleared a strict production bar — the reverse-engineered profile of the 5% that worked. Three guides, twenty questions, thirty-two concepts, grounded in the original Stanford report and four cross-validating syntheses.
All 20 questions in one sitting — live score tracks as you go, with a per-guide breakdown at the end.
Start quiz →32 flip cards across all guides. Filter by topic, shuffle the deck, or flip everything at once.
Browse cards →The strict four-part inclusion bar. 51 deployments × 41 organizations × 9 industries × 7 countries. The 95/5 backdrop. The central thesis: the model wasn't the moat. The "weeks vs years" gap and the 10 findings at a glance.
Read guide →77% non-technical pain — plan for it. Workflow redesign (55% vs 20%). Default to escalation-based operating models (71% productivity gain). Triage legal / HR / compliance gatekeepers early. Operational executive sponsorship over strategic approval. Failure-as-precursor (61%).
Read guide →Strategic integration vs experiment mode (ownership, KPIs, control). Workforce strategy is a deliberate choice — 45% reduced headcount, others redeployed. From cost-savings floor to revenue ceiling. Messy data is no longer a blocker. Where to spend the lock-in budget when the model is interchangeable. AI as organizational transformation problem.
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