In the news
Scaling Agents in Europe & The Middle East: Lessons from Schneider Electric, Vodafone, and monday.com
LangChain · Published · 3 min read
In 30 seconds
- What happened
- Three European companies share how they scaled AI agents from prototypes to production using central platforms, observability tools, and LLMOps discipline.
- Why it matters
- Engineering teams deploying multiple agents across business units need infrastructure patterns to move beyond scattered proofs of concept into reliable operations.
- Watch out
- Operating agents at scale requires anticipated infrastructure investment; many teams underestimate this need when building first prototypes and face production challenges later.
- agent
- llm
- multi-agent
- eval
The patterns behind this
- Eval-Driven Development (Agent CI)
- Agentic Context Engineering (Evolving Playbook)
- Agent Observability & Tracing
Each one covers how the technique works, when it earns its cost, and where it breaks.
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