Enterprise agentic AI deployments that reach the McKinsey 23% scaling cohort share five operational characteristics drawn from the cited JPMorgan, Toshiba, Wipro, and Aberdeen City Council deployments: measured pre-deployment baselines, named deployment-owner accountability, scoped-experimentation governance, training-over-hiring resource posture, and CIO-level visibility on per-deployment ROI; the characteristics are observational and replace the prior draft's 'ADAPT' acronym framing, which had no published source.

Claim created at publish; review on 60-day cadence. Anchor cases: JPMorgan ($1.5B 2023 value, 450→1000 PoCs maturing to 200,000-employee LLM Suite); Toshiba (5.6 hours saved monthly across 10,000 IT staff); Wipro ($1B GenAI investment, 200,000 trained); Aberdeen City Council (85% adoption, 241% ROI). Sister claims: AM-030 (McKinsey 23% from IT-leader perspective), AM-140 (procurement-committee perspective), AM-029 (Stanford 12/88 distribution), AM-022 (change-management as the missing variable). Trigger conditions to revisit before next cadence: (a) any of the four anchor deployments materially walked back; (b) subsequent cross-vendor analysis showing scaled cohort shares fewer than three of the five characteristics; (c) a published framework supersedes the observational five and earns sufficient adoption to be cited as an alternative.