As Generative AI and Agentic AI move into production workflows, governance and observability become architectural imperatives - not optional overlays. Enterprise Architects, CIOs, CAIOs, CTOs and business technology leaders now carry shared responsibility for collaborative strategy including designing oversight structures that balance autonomy, economics, risk, and scale. Professor Lee Bogner’s session reframes governance and observability as foundational enterprise design patterns for intelligent systems - enabling sustainable AI adoption without constraining innovation. Key takeaways: → Design governance into the architecture - not as a compliance afterthought, but as an integrated control plane. → Operationalize observability across cost, performance, and behavior enabling measurable ROI and executive transparency. → Align the AI control spectrum (Enterprise Architect, CIO, CAIO, CTO, senior business technologists and more) to prevent fragmentation, shadow AI, and economic sprawl.