Modern IT operations aren’t short on tools. Monitoring tools. Ticketing systems. Alerting platforms. Documentation repositories. Dashboards. Scripts. Runbooks.
And yet, when something breaks, the workflow still looks strangely familiar:
- A user calls and says the network is slow.
- You open a ticket.
- You check the alerts.
- You log into a device.
- You start Googling commands.
- You check another device.
- Then another.
Somewhere along the way you’re asking yourself:
Is the problem even here?
This is the everyday friction of IT operations. Not the big outages. Its the constant small mysteries that take far longer to solve than they should.
That’s exactly the problem Auvik AI is designed to solve.
Instead of leaving you to piece together clues from multiple tools, Auvik AI (powered by Auvik Aurora tools) analyzes your environment and helps you answer questions like Where should I look and What should I do next?
The reality of IT operations today
If we were all to look into the mirror, we would see that most IT environments share a few uncomfortable truths.
First, the network was built over time
Very few networks were designed all at once. They grew organically. A new switch here. Another vendor there. A quick configuration change during an outage that never got documented.
Eventually you end up with:
- Devices from multiple vendors with management tools that don’t talk to each other
- Partial or outdated documentation, if there’s any documentation at all
- Unclear (and undocumented!) dependencies between systems
When something breaks, understanding the actual scope of the problem becomes half the battle.
Second, alerts tell you something is wrong, but very rarely do they tell you what is wrong.
Monitoring systems are good at generating alerts. Sometimes they’re very good. But alerts rarely answer the question admins actually care about:
Is this the problem, or just a symptom of something else?
You might see alerts like:
- Interface down
- High CPU utilization
- Packet loss detected
- Device unreachable
What you don’t see is the context connecting those alerts together. So you end up investigating them one at a time.
Third, troubleshooting still relies so heavily on tribal knowledge. And often, that knowledge lives in just a few IT admin’s heads. Every admin has experienced this moment:
You know there’s a command that shows exactly what you need. You just can’t remember what it is. Now you’re:
- Searching old documentation
- Scanning forum threads
- Asking ChatGPT
- Hoping you find the right syntax for the right vendor
Multiply that across dozens of devices and troubleshooting slows down quickly.
Finally, many problems are simply discovered too late. Some of the most frustrating issues in IT aren’t failures. They’re failures that were predictable.
- An aging switch fails unexpectedly.
- A device reaches end-of-life.
- A vulnerability affects hardware you forgot you had.
Often the only signal comes after users start complaining.
How Auvik AI is helping IT teams in the AI era
Auvik AI isn’t a new tool. Auvik Aurora, Auvik’s AI engine, is intelligence, built directly into the operational workflows IT teams already use. Instead of being a standalone AI tool, Auvik Aurora analyzes the same data Auvik already collects, including:
- Network topology
- Device relationships
- Interface statistics
- Performance metrics
- Alerts
- Lifecycle data
- Vulnerability feeds
With all of these inputs, Auvik AI is able to provide context-aware guidance specific to your environment. The goal is simple: Every ticket should start with a game plan.
Let’s take a look at a few of the AI enhanced workflows Auvik enables today:
1. Reducing alert noise and surfacing what actually matters
When something goes wrong in a network, multiple alerts often fire at once. For example, if an upstream switch fails, you might see alerts for:
- Downstream devices going offline
- Interface failures
- Routing issues
- Connectivity loss
Without correlation, these appear as dozens of separate problems. Auvik AI helps by correlating alerts across the network topology, suppressing redundant alerts, and identifying the most likely root cause.
So instead of chasing symptoms, you start with the issue most likely responsible for the cascade. In practice this means fewer investigations into false alarms, faster triage, and clearer prioritization of issues that actually impact users.
2. Speeding up troubleshooting
Once you know where to look, the next challenge is figuring out what to do next. Troubleshooting often involves questions like:
- Is this a bandwidth issue?
- Is a device overloaded?
- Is traffic being dropped somewhere upstream?
Auvik AI analyzes multiple data sources at once, including:
- Interface statistics
- Bandwidth utilization
- CPU and memory usage
- Device status
- Topology paths
From there Auvik Aurora will suggest likely root causes and investigation steps grounded in the actual network data. Instead of starting from scratch, admins begin troubleshooting with contextual guidance already in place.
3. Helping admins recall the right commands
Multi-vendor networks are incredibly common. In fact, most networks Auvik manages have 4-5 different networking vendors present in them – and that’s before you add in workstations, servers, and the plethora of IoT devices on today’s network.
And each vendor device comes with a challenge: every vendor has its own CLI syntax. No doubt that even experienced admins sometimes forget commands they rarely use.
Auvik AI helps by providing device-specific command guidance, so you can quickly recall:
- The right command syntax
- Relevant configuration steps
- Troubleshooting commands for that device type
This eliminates the need to dig through old notes, vendor documentation, forum posts, or pinging “Bob” on his day off because you know he’ll know the answer. Trust me, Bob wants his day off too.
4. Identifying problems before users notice
Reactive troubleshooting is expensive. The best problems are the ones that never reach the help desk. Auvik AI agents continuously analyze lifecycle data across the environment to flag risks such as:
- Devices approaching end-of-life, and
- Unsupported hardware
Instead of discovering these issues during an outage, admins can plan refresh cycles and patches proactively. That means fewer surprises, and fewer interruptions when you’re just trying to spend a day with your family. .
AI that empowers IT teams, not replaces them
Here at Auvik, we’re continuously speaking with our users and have always been hearing that our clients are ready for AI – but not yet ready for AI to truly be autonomous in the network. We get it! Leftover stress from that one time an intern messed up a config and you spent the next 12 hours overnight restoring things.
That’s why we made one important design choice behind Auvik AI – it operates with human oversight. Admins remain in control of the environment.
Auvik Aurora provides:
- Insights
- Recommendations
- Investigation guidance
But the final decisions remain with the IT team. For now at least. We’ll keep you in control, and when you’re ready to let AI drive the changes, we’ll be there to support you. This approach keeps the benefits of automation while ensuring that critical infrastructure changes are always reviewed.
Auvik AI is here to help you drive the real goal: less friction in everyday operations
AI in IT operations doesn’t need to be revolutionary to be valuable. Sometimes the biggest improvements come from removing the small frustrations that slow teams down every day.
Things like digging through alerts to find the real issue, checking device after device to isolate a problem, Googling commands you used once two years ago and discovering hardware risks only after something fails
Auvik Aurora focuses on reducing that friction. By combining network telemetry, topology awareness, and AI analysis in the platform that you already know and love, it helps you move faster from:
alert → investigation → resolution
Spend less time troubleshooting. More time keeping users online.And more time doing what you really want to do. Looking like you’re hard at work managing the network with Auvik, but really you’re playing DOOM.
