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.