Why scaling AI is the central challenge of 2025-2027
Most Swiss organisations have proven that AI works in isolated use cases. The next step — making AI an enterprise-wide capability — requires a fundamentally different approach: a shared AI platform, common governance, consistent data management and cross-functional coordination.
I train your teams on every dimension of enterprise AI: platform architecture (build vs buy, cloud vs hybrid), data strategy (data mesh, data contracts, quality frameworks), governance (AI committee, policies, risk management) and change management (adoption, training, culture).
For Swiss enterprises — particularly banks, pharma companies and international organisations based in Carouge and Geneva — I address the specific challenges of multi-jurisdictional compliance (nFADP, GDPR, FINMA), multilingual deployment and the integration of AI with legacy systems.
The winner is not who runs the best POC — it is who scales AI first: enterprise AI is how you get there.