The Architecture Gap: Why Enterprise AI Governance Fails - www.ajithp.com

72% of enterprises have AI in production. Only 9% have governance mature enough to prove compliance when regulators ask. The gap is not missing policies. It is missing architecture. 📄 READ THE FULL GUIDE: https://ajithp.com/enterprise-ai-gove... This video covers: The compliance theater problem - what organizations build vs. what regulators examine Supply-side risk - the vendor AI running ungoverned in your core processes EU AI Act timeline and requirements for high-risk systems US state laws: Colorado, California, Illinois, NYC Agentic AI security - five new threat categories The CTRS framework: Decision Velocity, Trust Layer, Agent Governance Decision rights architecture - three-tier classification model Audit trail design - four layers regulators expect 90-day implementation roadmap The Chief Decision Officer role This is a video overview of a comprehensive guide published on AjithP.com, a strategic research platform covering enterprise AI architecture, governance, and decision systems. 🔗 RELATED RESOURCES: Decision Velocity Framework: https://ajithp.com/decision-centric-ai/ Version Drift Prevention: https://ajithp.com/version-drift/ Model Context Protocol: https://ajithp.com/mcp/ Red Teaming LLMs: https://ajithp.com/red-teaming-llms/ 📬 STAY UPDATED: Subscribe to the newsletter for frameworks, research, and implementation guides: https://ajithp.com — About AjithP.com: 100+ articles on enterprise AI with citations from IEEE, arXiv, HackerNoon, and academic institutions. Open-access research - no paywalls, no ads. If this content helps you build better AI governance, subscribe and share. #EnterpriseAI #AIGovernance #EUAIAct #AICompliance #CTRS #AIRisk #AIStrategy #DecisionIntelligence #AgenticAI #AIArchitecture