The 6% AI-high-performer cohort identified by McKinsey and the 12% high-ROI cohort identified by the Stanford Digital Economy Lab share ten measurable governance practices that an enterprise can audit in under 60 minutes. An enterprise answering YES to 8 or more of the 10 diagnostic questions has the operating profile of the high-performing segment. An enterprise answering YES to 4 or fewer has the operating profile of the 88-94% struggling cohort and is unlikely to clear break-even on agentic AI deployment without a posture rebuild. The diagnostic audits posture, not outcomes; it identifies where governance investment is needed before the next deployment commitment, not whether a specific deployment will succeed.

10-question agentic AI readiness diagnostic. 60-day review cadence. Watches: (1) methodology changes to the Stanford Digital Economy Lab cohort identification or McKinsey AI-high-performer definition that would shift the cohort thresholds, (2) regulatory enforcement that materially changes the bar for any individual question (especially Q5 audit evidence and Q9 multi-jurisdiction posture), (3) major IAM platform releases (Okta, Microsoft Entra) that change the practical answerability of Q1 (non-human identity), (4) governance role market data revisions that change Q10 (named accountable individual).