Architecting the AI-Native Enterprise

Enterprise adoption of AI is shifting from isolated copilots toward coordinated agentic workflows that can execute tasks across systems, data sources, and operational processes. The article explores architectural considerations for building AI-native enterprises, including orchestration layers, governance boundaries, workflow autonomy, and sovereign AI control models. It highlights the importance of integrating AI agents with enterprise platforms while maintaining security, observability, and human oversight. Technology leaders should evaluate agentic AI as a foundational operating model transformation that affects process design, governance, and enterprise architecture strategy.