Extreme Networks architected their AI platform around a fundamental tension: deploying non-deterministic generative models to manage deterministic network infrastructure where reliability is non-negotiable. Markus Nispel, CTO EMEA and Head of AI Engineering, details their evolution from 2018 AI ops implementations to production multi-agent systems that analyze event correlations impossible for human operators and automatically generate support tickets. Their ARC framework (Acceleration, Replacement, Creation) separates mandatory automation from competitive differentiation by isolating truly differentiating use cases in the "creation" category, where ROI discussions become simpler and competitive positioning strengthens.

The governance architecture solves the trust problem for autonomous systems in production environments. Agents inherit user permissions with three-layer controls: deployment scope (infrastructure boundaries), action scope (operation restrictions), and autonomy level (human-in-loop requirements). Exposing the full reasoning and planning chain before execution creates audit trails while building operator confidence. Their organizational shift from centralized AI teams to an "AI mesh" structure pushes domain ownership to business units while maintaining unified data architecture, enabling agent systems that can leverage diverse data sources across operational, support, supply chain, and contract domains.

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