Scaling Agents in Europe & the Middle East
See how Schneider Electric, Vodafone, and monday.com are moving AI agents from experimentation to enterprise production.
AI agents are moving quickly from experimentation to production, but scaling them across the enterprise requires more than building a capable agent. Teams need the infrastructure, controls, and feedback loops to make agent behavior visible, measurable, governable, and continuously improvable. Download the guide to see how Schneider Electric, Vodafone, and monday.com are approaching production AI at scale, from shared agent platforms and LLMOps practices to multi-agent architectures with stronger observability, evaluation, and control.
What You'll Learn
- How to build shared infrastructure that moves agent programs beyond disconnected proofs of concept
- How observability and evaluation help teams measure and improve agents in production
- How to design clearer boundaries between agents, tools, and sandboxes
- How leading teams address security, governance, data residency, and organizational alignment as they scale
Download Scaling Agents in Europe & the Middle East to learn how leading teams are building visible, measurable, governable, and continuously improvable agent systems.
Inside the Guide
LangSmith powers top enterprise engineering teams
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Get Started with LangSmith
See how LangSmith helps you debug, evaluate, and improve your agents in production. Talk to our team or start exploring today.
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