A framework for building truly AI-native organizations is gaining traction among enterprise leaders seeking to harness artificial intelligence at scale. Rather than bolting AI onto existing structures, the emerging approach calls for fundamentally redesigning how companies operate—from workflow architecture to employee empowerment to accountability mechanisms. The framework identifies 30 key features that distinguish AI-native organizations, including agent skills, shared context across teams, self-improving workflows, token efficiency optimization, and the critical practice of making every employee a builder capable of leveraging AI tools. The organizational philosophy marks a shift from viewing AI as a specialized function to embedding it into core business operations and decision-making processes. Central to the framework is the concept of autonomous agents that handle defined tasks, paired with clarity about where human judgment remains essential. This requires rethinking traditional management structures and introducing new disciplines around ownership and accountability in agent-rich environments. Enterprise transformation consulting firms and AI training programs are now helping organizations implement these principles. Executive education programs are teaching leaders how to design work around agents, optimize token efficiency in AI systems, and foster cultures where employees actively participate in building AI-driven solutions. The movement reflects broader recognition that competitive advantage in the AI era belongs to companies that can fundamentally restructure operations rather than simply adopt AI tools.