What does it take to move from a traditional AI chatbot to an agentic application that can retrieve information, reason across data, use tools, and take action?
In this session, we’ll build around a practical 311-style service request scenario to explore the architecture behind modern agentic AI applications. We’ll look at how Retrieval-Augmented Generation (RAG) grounds AI responses in enterprise data, how the Model Context Protocol (MCP) can expose tools and services to AI agents, and how GitHub Copilot can accelerate the development experience.