{
  "id": 6683530,
  "title": "Extreme Networks’ Agent ONE Coworker moves AI networking from dashboards to answers",
  "url": "https://urgent.news/2026/09/11/extreme-networks-agent-one-coworker-moves-ai-networking-from",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-11T01:58:50.000Z",
  "source": {
    "name": "SiliconANGLE",
    "slug": "siliconangle",
    "url": "https://siliconangle.com/2026/09/10/extreme-networks-agent-one-coworker-moves-ai-networking-from-dashboards-to-answers/"
  },
  "original_language": "en",
  "account": "Extreme Networks has shifted AI networking from dashboards to answers with its new Agent ONE Coworker. The product aims to reduce resolution time from hours to minutes and cut onboarding time by up to half. According to Nabil Bukhari, Extreme's CTO and president of AI, the previous generation of AI in networking failed because it was essentially a chatbot built on unconsolidated data. Extreme's solution introduces a purpose-built context layer, a knowledge graph mapping relationships across users, devices, applications, services, and network conditions.\n\nOne of the key design decisions in Agent ONE Coworker is its ambient behavior, always running and reaching out to users proactively. This Nudge mechanism, a command bar at the bottom of the Platform ONE interface, blinks when the agent spots something, after running a pre-investigation, before interrupting the user. Initial results show a 900% increase in interaction during the first eight days.\n\nThe development team also addressed the skills gap by detecting when users linger on a Platform ONE screen where they already know how to perform tasks in ExtremeCloud IQ. It then surfaces the top three things users typically do there and offers to walk them through or perform these tasks automatically. This approach meets engineers where they are at without demanding that they read product documentation. Extreme's AI model is designed to be cautious, providing clear responses when it cannot help and explaining what it can do instead, often by packaging evidence and opening a support ticket on the user's behalf.",
  "summary": "Operating a network has not changed in decades. Every network engineer knows the drill. An alert fires. You open a dashboard. Then another. Then you pull logs, review client history, ping the wireless team, and, hopefully, an hour later, there is enough context to start solving the problem. The industry spent a decade building better […] The post Extreme Networks’ Agent ONE Coworker moves AI…",
  "key_points": [
    "Agent ONE Coworker brings AI networking from dashboards to answers",
    "Ambient behavior proactively reaches out to users with Nudge mechanism"
  ],
  "editors_take": "This development signals a shift in AI networking from reactive monitoring to proactive assistance, enabling faster issue resolution and streamlined workflows for users, while also addressing the skills gap.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}