The central tension in enterprise agentic AI adoption is not technological—it is architectural. Most organizations can acquire AI agent technology; almost none can operationalize it responsibly. Research indicates that only [1] 24% of enterprises possess adequate guardrails and live monitoring to control agent actions in production environments. The remaining 76% face a choice: proceed with uncontrolled pilots that consume capital without generating measurable ROI, or invest in foundational readiness before deployment. The cost of skipping readiness is not merely wasted budget—it is operational risk, compliance exposure, and erosion of stakeholder trust in AI governance.