Moving from “AI for AI’s sake” to scalable, measurable client value.

Most AI projects fail not because the technology isn’t ready — but because the business isn’t centered around the client problem.
Too many organizations chase “AI transformation” without defining success in real-world, client-centric terms. The result? Pilots that never scale, tools that don’t integrate, and “AI initiatives” that create more dashboards than value.
Drawing on my background leading large-scale digital transformations and my current work at the Swiss AI Chatbot Factory, I’ll share how to build AI systems that deliver measurable, repeatable outcomes — not experiments. We’ll explore the architecture of a Client-Centric AI Factory: a model where automation, data, and AI agents are orchestrated around the client journey, not internal silos.
You’ll see how this approach turns AI from a cost center into a scalable business engine — one that learns, adapts, and compounds value over time.