Extreme's Service AI Agent is now in Platform ONE: What managers can expect
Extreme Networks has moved its Service AI Agent into Platform ONE, putting diagnostics, autonomous troubleshooting, root-cause analysis, and workflow automation in the same place where you manage your wired, wireless, security, and SD-WAN environments. That means less time jumping between tools and faster answers when something breaks.
For leaders, the pitch is straightforward: simplify operations, compress time-to-resolution, and remove repetitive work so your team can focus on projects that move the business.
What's new
Platform ONE is Extreme's cloud-based environment that pulls in data across the company's portfolio-ExtremeCloud IQ, Universal switches, Network Fabric, wireless, security, and SD-WAN-and layers in AI and analytics. It also connects to partner ecosystems from Intel, Microsoft, and ServiceNow, which helps the agent work across more of your IT workflows.
The Service AI Agent is now generally available within Platform ONE after an early access period. It's accessible through natural language, so teams can ask for plans, configurations, reports, and fixes without scripting.
What the agent actually does
- Network planning and configuration: Set intent, apply policies, and push changes at scale.
- Troubleshooting and root-cause analysis: Pull logs and telemetry, correlate anomalies, and point to likely causes.
- Policy enforcement and compliance: Maintain configs and controls across sites without manual effort.
- Reporting and dashboards: Generate summaries for operations and leadership in a few clicks or a simple prompt.
Extreme states the agent can cut manual effort by up to 95% on repetitive tasks like evidence collection, ticket creation, and case management. It can open a ticket, attach pre-collected diagnostics, recommend firmware updates, and execute corrective actions in a single workflow.
How it works in practice
- Collects device and network telemetry continuously.
- Analyzes abnormal patterns across wireless, wired, security, and SD-WAN.
- Attempts auto-remediation where safe; escalates with context when human input is needed.
- Manages open cases and flags risk items such as end-of-life gear or new CVEs (see CVE basics).
You get one console view that ties the evidence, recommended actions, and status together. Fewer blind spots, fewer swivel-chair handoffs.
Controls executives will care about
Autonomy comes with guardrails. The agent inherits permissions from the user who starts it, and admins can scope access down to specific tools and actions. There's always a human in the loop to approve higher-risk changes or broaden the agent's reach over time.
This lets you phase adoption: start read-only, move to low-risk automations, then expand as confidence grows.
Business value to look for
- Faster incident resolution and fewer escalations to senior engineers.
- Lower operational overhead from routine tasks and after-hours fire drills.
- Stronger compliance posture via consistent policy application.
- Better visibility for leadership: clean dashboards, clear status, and defensible metrics.
- Talent leverage: your best people spend more time on architecture and modernization.
Fit within your stack
Because it sits inside Platform ONE, the agent benefits from the full data picture across ExtremeCloud IQ, Universal switches, wireless, security, SD-WAN, and Network Fabric. That context is what enables accurate root-cause analysis and fewer false positives.
If you already rely on ServiceNow or Microsoft for IT workflows, the partner integrations help the agent plug into existing processes rather than creating yet another silo.
How to pilot without disruption
- Start with read-only mode to benchmark detection quality and false-positive rates.
- Pick two or three low-risk remediations (e.g., config drift correction, firmware advisories) and require approval.
- Define escalation rules: when to auto-remediate, when to notify, when to open a ticket.
- Track a simple scorecard: MTTR, cases auto-remediated, tickets per site, compliance drift events, and engineer hours saved.
- Expand scope gradually as the metrics prove out.
Bottom line
The Service AI Agent inside Platform ONE gives you a single place to plan, operate, troubleshoot, and report on your network with less manual effort. The combination of natural-language workflows, integrated telemetry, and practical guardrails makes it easier to adopt automation without losing control.
If your priorities include uptime, audit readiness, and team efficiency, this is worth a focused pilot. Pair it with clear metrics and staged approvals, and you'll know quickly whether it earns its keep.
Upskilling your team on AI-driven ops and automation? Browse curated learning paths by role at Complete AI Training.
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