In this episode of XTraw AI, we explore how to build AI systems that don’t collapse when they leave the lab. Enterprise Service Management strategist Noureddine Oirkha shares lessons from government and large-scale transformations on designing AI that is scalable, governed, and sustainable.
In this episode, you’ll learn:
Why most AI pilots fail to scale — and how to avoid creating technical and organizational debt
How reference architectures, versioning, and decision logs prevent brittle automations and expensive rebuilds
Practical frameworks for operationalizing AI at scale across governments and large enterprises
Perfect for leaders moving from experiments to enterprise-wide AI programs.
You can reach @ Noureddine Oirkha
My LinkedIn @ Raghu Banda
Our Website @ XTraw AI
