AI Doesn't Scale Until You Stop Calling It Innovation

Schneider Electric's Chief AI Officer explains the organizational approach to operationalizing AI as a product rather than innovation.

• •AI-native products must have AI as a core part of the value proposition, not as a layered-on capability
• •Hub-and-spoke organizational model merges domain expertise with AI expertise to build scalable solutions
• •AI should be managed with the same product development rigor as any other capability, using gate reviews and portfolio management
• •Single platform standardization using Databricks enables data infrastructure and ML pipelines at scale across the organization
• •External models are leveraged but orchestrated with domain-specific context, guardrailing, and multi-agent systems to create complete solutions