Vincent Morel

 AI agents and LLMs are moving fast from experiments into everyday engineering, but most platforms were never built to support them at scale. Vincent Morel and Julien Tamisier take an inside look at how engineering systems must evolve as Schneider Electric builds an AI Platform for internal functions and business line use cases, while increasingly applying the same patterns and tools to develop the platform itself. From standardisation and developer workflows to AI-specific observability and session insights, this session shows how Schneider Electric is reshaping its platform so AI works reliably, visibly, and usefully across teams.  

• Evolving engineering platforms to support AI workloads by embedding standards, guardrails, and observability by default 

• Observing LLMs and agents through specialised telemetry, session data, and AI-focused SLI/SLOs 

• Enabling developers to use AI confidently in everyday workflows without losing visibility or control, while feeding those learnings back into the platform itself