Many GenAI initiatives stall after early success, weighed down by brittle architectures, rising costs, and unclear ownership. This session focuses on what it takes to move beyond experimentation and build genAI platforms that hold up in production. We’ll explore the enterprise realities of GenAI adoption, including AI fatigue, fragmented tooling, and the challenge of aligning automation with real human workflows. The session unpacks how to design flexible, modular genAI platforms that can evolve as models, use cases, and organizational needs change without constant rebuilds. Rather than chasing short-term demos, this conversation centres on structuring GenAI investments for durability, clarity, and sustained business impact. Key takeaways: →How to recognise when a genAI initiative is stuck at “permanent POC” and what to change →Design principles for building GenAI platforms that can adapt as models and requirements evolve →Where automation adds real leverage vs. where humans must stay in the loop