Gartner counts roughly 130 vendors delivering real agentic AI. Thousands more claim the label. The A-P-M Test gives you three binary questions that expose agent-washing in under 60 seconds. Deploy it before you deploy the budget.

79% of organizations claim AI agent adoption. Only 23% are scaling actual agents. The Autonomy Spectrum exposes a classification error corrupting enterprise roadmaps, budgets, and timelines. Three tiers. Three covenants. One chasm you cannot upgrade across.

Most AI Agents fail because they cannot perceive. The Perceive-Reason-Act Cycle is the diagnostic framework that exposes where your agent architecture breaks. 95% of enterprise AI pilots collapse, and the fix starts with perception, not bigger models.