SolarWinds Launches Avior, an AI Agent Built for Predictable Enterprise Operations

SolarWinds Worldwide LLC, an observability and IT management software provider, has announced Avior, a purpose-built agentic AI platform intended to handle frontline operational tasks for enterprise IT departments. The system tackles a fundamental challenge: the inconsistency that emerges when AI agents produce varying results across different runs, a risk that becomes unacceptable in environments where system uptime and security are critical. SolarWinds contends that many IT organizations currently bear this cost through unplanned downtime and increased audit liability.

The architecture behind Avior combines what Chief Technology Officer Krishna Sai describes as "probabilistic models in deterministic execution." Probabilistic models determine what actions are necessary, while a rigid framework of predefined objectives and approval gates controls implementation. Every operation performed by the system can be traced and audited. The predefined goals reflect 25 years of SolarWinds' accumulated knowledge about how IT infrastructure operates in practice, according to Sai.

Avior differs from SolarWinds' current AI capabilities, which include an AI Agent that entered tech preview for SolarWinds Observability SaaS in October 2025. Those existing tools operate within specific products and are, as the company characterizes them, "bounded by human attention and prompting." By contrast, Avior functions as an independent application running on the SolarWinds Platform and connects to external systems via the Model Context Protocol. This design eliminates the need to consolidate data across on-premises and cloud deployments before deployment.

Initial capabilities and safety controls

At launch, Avior performs several operational functions. It consolidates related alerts into unified incidents, identifies configuration modifications that bypass standard procedures and restores prior-known configurations on critical devices. The system also addresses the problem of outdated inventory records—removing entries for devices that have left the network but continue generating alerts. SolarWinds indicated that additional features are planned for future releases.

Risk-based tiering governs Avior's autonomy levels, meaning actions flagged as potentially risky require explicit human authorization before execution. All actions run with the permissions of the user who initiated them and are fully logged. The platform includes built-in rollback capabilities. Data transmission is restricted to information relevant to each specific request, and customer data undergoes masking and is never incorporated into model training.

Interim Chief Executive and Chief Product Officer Cullen Childress, who assumed leadership when Sudhakar Ramakrishna's tenure concluded on September 30, emphasized that IT operations teams can no longer rely solely on rapid response times. "Reaction time alone is no longer enough" as IT environments become increasingly intricate, Childress stated.

Avior is now available through a structured onboarding process. The company has not announced pricing details.