Most AI initiatives start with promising LLM demos, but turning them into reliable, scalable AI agents in production is a different challenge altogether. In this session, Philips Hue shares its end-to-end journey from early experimentation to operating AI agents at scale. We’ll explore how we evolved from monolithic LLM applications to modular, task-oriented agent architectures, and how this shift enabled better maintainability, observability, and control. The session covers key design decisions around orchestration, tool integration. You’ll gain real-world insights into what works, what doesn’t, and what it truly takes to run AI agents in production environments.

Most AI initiatives start with promising LLM demos, but turning them into reliable, scalable AI agents in production is a different challenge altogether. In this session, Philips Hue shares its end-to-end journey from early experimentation to operating AI agents at scale. We’ll explore how we evolved from monolithic LLM applications to modular, task-oriented agent architectures, and how this shift enabled better maintainability, observability, and control. The session covers key design decisions around orchestration, tool integration. You’ll gain real-world insights into what works, what doesn’t, and what it truly takes to run AI agents in production environments.