Fifty engineers running fifty private AI workflows is not adoption. It is a coordination tax with no owner. Audit what is already running, isolate the workflows with org-wide leverage, ship a versioned skills repo, and govern the blast radius before a shared skill drops a column in production.
Eighty-eight percent of organizations deploy AI. Fewer than six percent see results. The gap is not a model problem — it is a rollout problem. Incentives, champions, friction, and the change-management work nobody budgeted for.
AI ROI math is contaminated at the inputs. The 40% time savings is self-reported. The 3x PR throughput is a review-queue traffic jam. The board number is one cherry-picked team. Four measurement layers, the rework tax nobody applies, and the attribution problem.
Compliance is not the brake. The single review queue is. Risk-tier the routing, codify the patterns, automate the checks — and 70% of AI requests stop touching a human. The bottleneck is architectural, not regulatory.
Quality at five users is self-regulating. At fifty, it is a liability. Build the rubric layer, gate stack, and federated ownership model before consensus rots into theater — or your AI program gets cancelled with the next budget cycle.