When AI Stops Assisting and Starts Running the Business

AI-native operating models require more than adding copilots to existing processes: they place agentic systems, shared data and continuous feedback at the centre of execution. The article contrasts traditional and AI-native models, explains how agents can orchestrate workflows and closed-loop operations, and outlines governance for autonomy, data access and human accountability. It also proposes a transition roadmap built around bottlenecks, KPIs, deployment discipline and cross-functional ownership. Technology leaders should decide where AI can act, how its decisions are supervised and which outcomes justify redesigning the operating model.