Luca Magnoni

How can you leverage AI and LLM in a regulated environment without overwhelming development teams with security overhead? At Alpian—a fast-moving Swiss digital bank—Kafka and event-driven architecture form the backbone of our cloud-native platform. This event-first approach has enabled us to scale tenfold with a lean, expert team, paving the way for a new generation of internal and client-facing LLM applications. We’ve found that RAG is essential for enhancing accuracy and extending prompt context in generative AI. Continuous integration of real-time data is key to delivering the most recent and relevant information, as demonstrated by our budget assistant—a conversational tool advising clients on financial transactions. However, as a bank we must adhere to strict regulations on data management, encryption, locality, and sensitive data access. Robust guarantees on what data is shared, where it is stored, and how it’s managed are critical—even if these requirements seem at odds with using foundational models. How do we push innovation while remaining compliant? In this talk, you learn: System Design&Architecture: How the Alpian platform leverages Kafka events for service…