Most enterprises are focused on models and interfaces. Far fewer are solving the harder problem underneath: building the data and operational layer required for reliable agentic AI systems. In this keynote, TUI’s Technology Analytics leadership team breaks down the infrastructure, governance, and organisational challenges behind deploying AI systems that can reason, retrieve context, and execute workflows at scale. Key takeaways: → Why enterprise data architecture is the foundation for reliable agentic AI systems → The operational and observability challenges that emerge when deploying autonomous AI at scale → How technical and business teams must evolve to successfully operationalise AI across the enterprise