As enterprises introduce AI agents across APIs, workflows, data platforms, and legacy systems, a new problem emerges: agents may have access to information without reliably understanding the business meaning behind it. This session introduces Enterprise Semantic Continuity as an architectural pattern for preserving intent across systems, services, events, policies, and autonomous workflows. It explores how semantic models, metadata, knowledge graphs, API contracts, and observability can help agents maintain context, reduce ambiguity, improve decision quality, and execute safely across complex enterprise environments.