Java remains the backbone of enterprise applications across countless organizations worldwide, with development teams possessing deep expertise and established practices in the language. As artificial intelligence and LLM technologies rapidly evolve, Java developers no longer need to venture outside their ecosystem or learn Python to build sophisticated AI-powered applications. Spring AI emerges as a comprehensive, feature-rich framework that brings the power of large language models and AI agents directly into the Java development environment. This framework provides all the essential tools and capabilities needed for common AI applications—from prompt engineering and model integration to vector databases and retrieval-augmented generation. By leveraging Spring AI, your existing Java teams can seamlessly integrate intelligent agents into enterprise systems, maintaining the robustness, scalability, and maintainability that Spring framework users expect. This session explores how to harness Spring AI to build production-ready AI agents without leaving the familiar Java and Spring ecosystem, empowering your developers to innovate with AI using the skills and knowledge they already possess.