As enterprises deploy more AI agents, many risk locking core business logic into a single model, framework, or platform. This session examines how agentic systems can be designed for portability and long-term flexibility. Topics include separating orchestration from models, abstracting tools and prompts, and supporting multi-model or hybrid environments. The goal is to help teams scale agentic AI today without limiting their ability to adapt to new models, vendors, or regulatory requirements tomorrow.