Auvik’s See, Tell, Do Roadmap Has Arrived at Do
After years of providing visibility and alerting services, the company’s using a huge pool of data to power its first automated network management, troubleshooting, and optimization solution.
It’s striking how similar Veeam and Auvik are in their thinking about the relationships linking data, AI, and trust. Veeam believes that acquiring a complete understanding of your data is a precondition to embracing AI with confidence. So does Auvik, albeit in a somewhat different way.
Auvik’s take on the matter begins with a finding by analyst firm EMA that only 44% of IT organizations have complete confidence that their network data is solid enough to support AI-driven network management. Doug Murray (pictured), Auvik’s CEO, thinks he knows why.
“Many organizations lack full visibility,” he says. “They don’t fully understand what’s in their environment—devices, SaaS tools, even shadow AI usage.” Auvik has been providing that visibility since its inception some ten years ago, Murray adds, and building acceptance among users for more ambitious functionality along the way.
“Once they see their environment mapped—devices, configurations, versions—that becomes the baseline for trust and management,” he says.
Auvik is now drawing on that trust to take the last step on the “see, tell, do” roadmap it’s been following since its birth. “See” is the visibility the company’s cloud-based network mapping functionality provides. “Tell” is the alerting capability the company subsequently added; Auvik’s 6,000 customers currently receive over 30 million alerts a year.
That just left “do,” as in the ability to remediate alerts rather than simply issue them. Auvik’s had enough data to support that kind of automation for a while, Murray says, noting that the company has information about 12 million devices, 300 million device configurations and over 500,000 applications on file. What it lacked was a means of putting that data to work in ways that meaningfully raise technician productivity and shorten resolution times.
“If we were to have had this exact conversation three years ago, we might have talked about how we have all of this data and we’re working on an automation strategy. It just so happened that we were remarkably fortunate with the way the world has evolved over the last three years,” Murray says.
He’s referring, of course, to the rapid evolution of first generative and then agentic generative AI, technologies that underpin the functionality in Auvik Aurora, the company’s recently released automated network management, troubleshooting, and optimization capability.
In real time, Auvik says, the new system correlates and prioritizes alerts, identifies where issues are likely occurring and why, and provides customized remediation guidance based on live network data. Users have the flexibility to decide how autonomously the system then acts on that guidance.
“For example, they may create a policy that says if an access point is down and the remediation is to reboot it, then just automatically do that,” Murray explains. Conversely, he continues, they may prefer to address newly reported firewall vulnerabilities themselves.
“It is not full self-driving, network-based infrastructure quite yet,” Murray says.
As the “quite yet” there suggests, though, that’s likely to change over time, as is much else about Aurora.
“You can envision a roadmap where a new Aurora-based feature comes out every month between now and December,” Murray says.
One last note about all that data Auvik’s amassed
For reasons we’ve noted here recently, large volumes of data tend to exert large amounts of gravitational pull in the channel. Auvik sees no reason why it should be an exception to that new law of digital physics.
Though he isn’t specific about plans or timing, Murray clearly envisions a future in which Auvik is the managed services world’s definitive system of record for networking, serving up data to third-party applications and making itself indispensable to a lot of people other than MSPs in the process. Unlike vendors such as Kaseya and ConnectWise with similar ambitions for device and ticketing data, moreover, Auvik thinks it has the network layer to itself.
“Other vendors play roles in RMM, PSA, etc. We integrate with them rather than compete,” Murray says, adding that Auvik’s “superpower” is network visibility and management.
“We aim to be Switzerland in the ecosystem.”




