Across the IT industry, AI is being positioned as the next evolution of operations. But for many IT teams, AI still feels disconnected from the tools they rely on every day.
Dashboards get smarter. Reports get faster. But workflows stay the same. Stuck in vendor silos or a CLI, IT teams have been looking for ways to bolt AI into workflows, but what often comes out is a Frankenstein-like web of APIs and MCP hosts.
AI is meant to make life easier for IT teams – not make it more difficult. They need intelligence built directly into the way they manage their networks.
That is where Auvik AI comes in.
What Is Auvik AI?
Auvik AI is Auvik’s initiative to embed contextual, workflow-driven intelligence directly into IT operations.
It is not a standalone chatbot.
It is not a bolt-on analytics engine.
It is not AI layered on top of disconnected data.
Auvik AI is grounded in the network telemetry, topology, and device relationships already mapped within Auvik. Using that context, Auvik AI helps IT teams:
- Shift from reactive to proactive
- Cut through the noise and find the signals when troubleshooting
- Get to a likely root cause in less time
- Take informed action faster
The goal of IT teams is to keep their users productive and operational. This is evidenced through Auvik’s IT Trends Report, with 40% of IT teams reporting that percentage uptime was their most important metric.
By helping any network become an AI-enabled network, Auvik AI is helping IT teams do exactly that.
Intelligence Embedded in Everyday IT Workflows
Auvik AI is designed for busy IT admins and network admins who do not have hours to experiment with new tools. Instead of requiring teams to change how they work, Auvik AI enhances the workflows they already rely on.
It analyzes data points from across the network, powering insights that IT teams rely on to be more efficient and effective. Data points like:
- Network topology
- Device relationships
- Interface statistics
- Performance metrics
- Recent alerts
- Lifecycle data
- Vulnerability feeds
This allows Auvik AI to provide guidance grounded in your environment and not generic recommendations.
How Auvik AI Comes to Life
Auvik AI capabilities are delivered through Auvik Aurora. Auvik Aurora powers new AI-driven experiences across the Auvik platform, embedding intelligence directly into alerting, troubleshooting, and lifecycle workflows.
You’ll see Auvik Aurora throughout the platform, and interact with Auvik Aurora in a number of different ways – from AI agents continuously scanning your network for hardware lifecycle updates, through to interactive troubleshooting assistance, right when you need it.
Curious? Take a look in Auvik and you’ll find:
Auvik AI Assisted Alert Creation
Auvik Aurora assists IT admins to be able to create alerts using natural language. No need to track down specific syntax or know the ins-and-outs of the alerting system. Simply describe what you want to monitor and Auvik Aurora generates a draft configuration automatically.
Alert Prioritization and Insights
Auvik Aurora agents analyze alert patterns, device data, and historical performance across your IT infrastructure. They prioritize high-impact issues and deliver clear, actionable guidance—so you’re not wasting time chasing false positives.
AI Assisted Troubleshooting
Get device-specific command suggestions and scripting help for multi-vendor networks and then get AI-powered recommendations with clear next steps grounded in your environment, not generic internet advice.
Agentic Lifecycle Intelligence
Auvik Aurora agents continuously analyze device inventory, device metadata, and firmware versions to identify end-of-life hardware. Instead of scrambling when something breaks, you can plan ahead with confidence.
While this is a sampling of the Auvik AI capabilities available today, we are just getting started. For more detail on Auvik AI and Auvik Aurora, Meet the AI Agents Powering Autonomous IT Operations and stay up to date on AI at Auvik.
AI is paving the path to Autonomous IT Operations
Autonomous IT operations has been the holy grail of IT Ops for a number of years. For a long time, team capacity and specialized expertise have been limiting factors for the majority of IT teams in realizing truly autonomous IT. Auvik AI represents a real shift toward more autonomous IT operations that is finally in reach of nimble IT teams.
In the continual path towards autonomous IT operations, it is clear that risk needs to be managed. With Auvik AI, it does not mean removing human oversight. It means:
- Starting investigations with context
- Reducing repetitive troubleshooting
- Prioritizing high-impact issues
- Acting with greater confidence
In a path to truly autonomous IT operations, AI should reduce operational friction, not introduce more of it.
With Auvik AI, organizations are realizing the potential for enabling any network for the AI era. AI adoption should not require rebuilding your infrastructure. It should not require hiring specialized AI engineers. It should be simple. It should be accessible to all IT admins.
With Auvik AI, organizations are modernizing operations within the networks they already manage. By embedding intelligence directly into workflows that IT admins use Auvik for today, Auvik AI helps IT teams move from reactive firefighting to proactive control.
Explore Auvik AI
Discover how Auvik AI is shaping the future of IT operations.Visit the Auvik Aurora Feature page to learn more about the capabilities available today.
Auvik AI FAQs
What is Auvik AI?
Auvik AI is Auvik’s AI-powered network operations capability, delivered through Auvik Auvik Aurora agents, co-pilot interactions, and behind-the-scenes agentic workflows. Auvik AI analyzes network topology, device relationships, performance metrics, alerts, lifecycle data, and vulnerabilities to provide contextual troubleshooting and remediation guidance grounded in your environment.
Is Aurora fully autonomous?
Aurora is designed as an AI agent with human oversight. It provides recommendations based on machine learning analysis of your environment. You can review and approve suggested actions before they’re carried out.
What data does Auvik AI analyze?
Auvik Aurora analyzes network topology, device relationships, interface statistics, performance metrics, alerts, lifecycle data, and vulnerability feeds. This contextual awareness allows it to deliver recommendations specific to your environment—not generic troubleshooting steps.
Will this replace my IT team?
No. Aurora is built to help network admins and IT generalists be more efficient and effective, not replace them. It reduces repetitive troubleshooting work, surfaces higher-impact issues sooner, and helps your team resolve tickets faster—so they can focus on more strategic initiatives.
How is Auvik AI different from just asking ChatGPT or another LLM chatbot about a network problem?
General-purpose AI tools respond with answers based on publicly available information, which means generic information that may or may not apply to your environment. Aurora’s analysis is grounded in your actual network data. This means the specific device that’s having an issue, its current performance metrics, topology relationships, recent alert history, and configuration state. That context is crucial to the guidance AI provides and is what makes Aurora’s recommendations so specific and actionable rather than a generic how-to.
How does Aurora handle situations where it’s not confident in its recommendation?
Aurora is built with human oversight in mind. It presents findings as hypotheses, not definitive answers. When it surfaces a likely root cause, it explains the reasoning behind it (e.g. what data points it looked at and why it’s pointing in that direction). This transparency helps you evaluate the suggestion and decide whether to act on it, dig deeper, or pursue a different angle. Put simply, Auvik AI is designed to give you a better starting point, not make decisions for you and your team.
Can I see what Aurora looked at when it made a recommendation?
Yes. Aurora is designed to show its work where possible. When it surfaces a likely root cause or recommends an action, the context used to inform that conclusion may be included.The goal is to give you enough information to evaluate the recommendation and decide whether to act on it.
Does Aurora learn from my environment over time?
Aurora’s recommendations are grounded in real-time data from your actual network, including topology, device relationships, performance metrics, alert history, and more. Every time it analyzes your environment, it’s working from the most current picture of what’s happening across your infrastructure.
