Scaling Agents in Europe & The Middle East: Lessons from Schneider Electric, Vodafone, and monday.com

Organizations across sectors are shifting from isolated chatbot pilots toward centralized agent platforms that provide shared infrastructure, governance, and production support, particularly for regulated back-office, compliance, security, and operational workflows where return on investment can be measured. Reported priorities include observability, evaluations, cost controls, data residency, and mechanisms for enabling business users while maintaining engineering guardrails. Schneider Electric supports more than 60 agents through a 350-person AI Hub, using traceability, evaluation frameworks, expert review, and dedicated deployment stacks to improve quality and manage critical-infrastructure requirements. Vodafone uses monitored, multi-step assistants to help engineers analyze network metrics and retrieve technical documentation, with end-to-end tracing used to locate failures in intent classification, SQL generation, or information retrieval. monday.com redesigned its Sidekick assistant from a single tool-heavy agent into an architecture of permission-aware orchestration, specialized subagents, controlled tools, and sandboxes, finding that clearer boundaries improved reliability, testing, and diagnosis. Across these examples, the central conclusion is that scaling agents depends less on deploying individual models than on building the surrounding platform, controls, feedback loops, and organizational practices needed to make their behavior measurable and continuously improvable.

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