What problem does it solve? Teams discussing enterprise AI governance lack a shared, authoritative reference for the CARE framework's concepts, making conversations about trust boundaries, accountability, and human-AI collaboration inconsistent and ungrounded. ## Core Features & Use Cases - Framework Reference: Distills the CARE (Collaborative Autonomous Reflective Enterprise) thesis, including the Dual Plane Model, Mirror Thesis, and Human-on-the-Loop governance pattern. - Competency & Principle Catalog: Documents six human competency categories and eight CARE principles for designing AI governance architectures. - Framework Mapping: Explains how CARE relates to EATP (trust chain protocol), COC (AI code generation), and the Kailash reference implementation. - Use Case: When drafting an AI governance policy, load this reference to correctly apply Human-on-the-Loop boundaries and accountability chains instead of defaulting to human-in-the-loop bottlenecks. ## Quick Start Explain how the CARE Dual Plane Model separates trust from execution and how it applies to our AI deployment governance.