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SolarWinds Adds AI Features to ITSM Solutions

SolarWinds is adding artificial intelligence (AI) and machine learning (ML) capabilities to its IT service management (ITSM) solutions.

The new AI features include a virtual agent to help users solve everyday IT problems and guided incident resolution to empower agents with the information they need to effectively resolve complex issues.

The new SolarWinds® Service Desk additions are designed to reduce ticket volume by enabling users to remediate easier-to-solve issues so IT practitioners can focus on the complex issues requiring their expertise. The Service Desk AI virtual agent can answer user questions and support troubleshooting. By constantly learning based on interactions with users, the virtual agent adapts over time to provide the most helpful and relevant information and help solve issues based on each customer's specific needs.

The cloud-native SolarWinds Service Desk solution is highly regarded in the industry for being easy to use and effective for users and agents while providing quick time to value. Automated ticket routing, AI-powered smart suggestions, and the new virtual agent within Service Desk all help ensure agents can efficiently deliver services across the organization. Customers can also enhance and personalize Service Desk through integrations with over 200 popular cloud applications.

“Digital transformation, application modernization, and the move to the cloud have dramatically increased the complexity of digital services,” said Cullen Childress, GVP of product management at SolarWinds. “This means the number of potential problems impacting user experience has also increased substantially. Our ITSM solutions are a significant focus we’re investing in. This includes Service Desk, which enables teams to focus more on important business priorities rather than mundane, time-consuming tasks. By leveraging advanced AI and powerful automation, SolarWinds makes users more productive, supports agents more efficiently, and helps ensure companies are more successful.”

Teams can customize SolarWinds Service Desk to provide an efficient and intelligent ticket management system and service request workflows for other business groups beyond the IT department. This enables human resources, legal, finance, sales, marketing, and other departments to become more responsive and enhance their service delivery capabilities. Managing employee requests through one system and automating workflows helps these departments deliver better and faster services to colleagues. Later this year, SolarWinds is planning to launch a new enterprise service management (ESM) solution designed to allow multiple departments within a single organization to have their own service portal, ticket management system, and service catalog within one platform to allow better cross-department workflows while ensuring data from different departments is appropriately segregated.

By investing in the AI-powered SolarWinds Platform, the company is blending observability and service management to consistently deliver simple and secure solutions for IT Ops, DevOps, SecOps, and CloudOps professionals.

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

SolarWinds Adds AI Features to ITSM Solutions

SolarWinds is adding artificial intelligence (AI) and machine learning (ML) capabilities to its IT service management (ITSM) solutions.

The new AI features include a virtual agent to help users solve everyday IT problems and guided incident resolution to empower agents with the information they need to effectively resolve complex issues.

The new SolarWinds® Service Desk additions are designed to reduce ticket volume by enabling users to remediate easier-to-solve issues so IT practitioners can focus on the complex issues requiring their expertise. The Service Desk AI virtual agent can answer user questions and support troubleshooting. By constantly learning based on interactions with users, the virtual agent adapts over time to provide the most helpful and relevant information and help solve issues based on each customer's specific needs.

The cloud-native SolarWinds Service Desk solution is highly regarded in the industry for being easy to use and effective for users and agents while providing quick time to value. Automated ticket routing, AI-powered smart suggestions, and the new virtual agent within Service Desk all help ensure agents can efficiently deliver services across the organization. Customers can also enhance and personalize Service Desk through integrations with over 200 popular cloud applications.

“Digital transformation, application modernization, and the move to the cloud have dramatically increased the complexity of digital services,” said Cullen Childress, GVP of product management at SolarWinds. “This means the number of potential problems impacting user experience has also increased substantially. Our ITSM solutions are a significant focus we’re investing in. This includes Service Desk, which enables teams to focus more on important business priorities rather than mundane, time-consuming tasks. By leveraging advanced AI and powerful automation, SolarWinds makes users more productive, supports agents more efficiently, and helps ensure companies are more successful.”

Teams can customize SolarWinds Service Desk to provide an efficient and intelligent ticket management system and service request workflows for other business groups beyond the IT department. This enables human resources, legal, finance, sales, marketing, and other departments to become more responsive and enhance their service delivery capabilities. Managing employee requests through one system and automating workflows helps these departments deliver better and faster services to colleagues. Later this year, SolarWinds is planning to launch a new enterprise service management (ESM) solution designed to allow multiple departments within a single organization to have their own service portal, ticket management system, and service catalog within one platform to allow better cross-department workflows while ensuring data from different departments is appropriately segregated.

By investing in the AI-powered SolarWinds Platform, the company is blending observability and service management to consistently deliver simple and secure solutions for IT Ops, DevOps, SecOps, and CloudOps professionals.

The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...