In today’s multi-cloud world, organizations often leverage AI agents from various platforms—such as Azure AI Foundry, Microsoft Copilot Studio, AWS Bedrock, and Google Gemini—to deliver intelligent, context-aware solutions. However, orchestrating these agents into a unified, seamless workflow remains a challenge. In this session, we will explore how Semantic Kernel acts as the bridge between these ecosystems, enabling developers to build interoperable, multi-agent architectures that integrate diverse LLMs and services. We will dive into practical demonstrations showing how to connect agents across platforms, manage persona-based prompts, pass context dynamically, and build adaptive pipelines for retrieval-augmented generation (RAG). By the end of this talk, attendees will gain actionable insights into designing cross-platform, agentic experiences powered by the Semantic Kernel, unlocking the full potential of heterogeneous AI ecosystems.