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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsSolarWinds Avior is a goal-oriented AI operations system for enterprise IT. Instead of stopping at alert summaries, it is designed to pursue measurable outcomes by collecting evidence, testing hypotheses, applying risk controls and recording what happened. SolarWinds positions that combination as “Goal-oriented AI you can trust, measure, and verify.”
Avior is aimed at mixed environments: on-premises data centers, self-hosted deployments, private cloud, public cloud and the connections between them. The public product information describes a governed operating model, but packaging, pricing, regional availability and the final status of some features still require confirmation from SolarWinds.
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What SolarWinds Avior does
Traditional monitoring tools surface symptoms: a failed check, a latency spike or an unavailable service. Avior is intended to work toward an operational goal, such as determining why a service is unhealthy or deciding whether a corrective action is safe.
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The practical distinction is that an answer is supposed to be tied to observable evidence and a stated objective, rather than being an untraceable suggestion from a general-purpose chatbot.
How the deterministic-execution model works
SolarWinds uses “deterministic” to describe controls around an agent that can plan and act. The model is not an assertion that every incident has a predetermined outcome; it is a claim that the path from evidence to action is governed and inspectable.
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- Define a goal. A team gives Avior an operational objective instead of only asking for a summary of alerts.
- Gather evidence. The system examines available signals, related product data, change records and incident history.
- Test hypotheses. Candidate causes are checked against the evidence, with each check and result exposed to the operator.
- Account for freshness. Avior indicates when data is old enough to limit confidence in a conclusion.
- Apply a risk threshold. Teams set the level of risk that is acceptable for a particular goal. Higher-risk actions can be configured to require human approval.
- Preserve the record. Observations, plans, actions, rationale and outcomes are retained in a durable record for review and audit.
This approach is designed to let an organization automate selected work without giving an agent unrestricted authority. Safe defaults and approval gates are especially relevant to changes that could affect production systems.
Where Avior is intended to run
SolarWinds says Avior works with self-hosted and cloud deployments through Platform Connect, including hybrid boundaries. Its April 15, 2026 SW1 announcement describes the underlying Agentic Framework as governed across on-premises data centers, private cloud, public cloud and hybrid architectures.
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The self-hosted FAQ says SW1 is built into supported SolarWinds products and answers natural-language questions using data that the user already has permission to access. Where the control is available, an administrator can disable the AI capability at the product or tenant level. The exact supported-product matrix should be confirmed for the deployment you operate.
Capabilities and availability
SolarWinds’ October 2025 AI release and subsequent SW1 announcement describe the following functions. Availability can vary by product, edition and rollout, so the status column reflects what SolarWinds publicly documented rather than an independent deployment test.
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| Capability | Publicly documented status |
|---|---|
| Natural-language questions about system health | Documented capability in the October 2025 AI release |
| Metric comparisons and recommendations | Documented capability in the October 2025 AI release |
| Multi-step workflow launches | Documented capability in the October 2025 AI release |
| Root Cause Assist | Listed as generally available in the October 2025 release |
| Dynamic Threshold Enhancements | Listed as available in the October 2025 release |
| AI Query Assist | Listed as a technology preview in the October 2025 release |
| Signal correlation, incident triage and root-cause assistance | Part of the announced Avior/SW1 operating capabilities |
| Automated runbook execution | Listed as a 2026 expansion area; confirm whether it is generally available |
| Incident correlation | Listed as a 2026 expansion area; confirm whether it is generally available |
| AI-generated knowledge-base articles | Listed as a 2026 expansion area; confirm whether it is generally available |
SolarWinds calls SW1 an “agentic AI teammate” and says it is intended to move teams from reactive troubleshooting toward autonomous operational resilience. That is a product positioning statement, not independent evidence that every environment will achieve autonomous operation.
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For enterprise operations, the key question is not only whether an agent can produce a plausible fix. Teams also need to know what data it used, which alternatives it rejected, who approved a risky step and what result followed. Avior’s stated record of evidence, plans, actions, rationale and outcomes is intended to provide that chain of accountability.
Risk thresholds allow different goals to use different levels of automation. A low-impact diagnostic could proceed automatically, while a production change could pause for approval. Before enabling actions, administrators should map thresholds to their change-management policy and verify which integrations can actually execute a step.
What the public information does—and does not—establish
SolarWinds’ materials establish the intended architecture and list current or planned functions, but they do not provide a public price sheet, a complete packaging table or independent benchmark results for Avior. SolarWinds also cites a 2025 finding that nearly half of IT leaders reported unexpected outages despite rating their resilience highly. That figure is a SolarWinds-reported industry finding, not a measured Avior customer outcome.
The Avior page displays company figures of more than 190 countries, more than 300,000 customers and “450 of the fortune.” The page does not give those figures a publication year, so they should be treated as undated marketing claims rather than current statistics about Avior adoption.
How to request access and evaluate fit
The public Avior page offers Request Access and Request Demo rather than self-serve pricing. A serious evaluation should ask SolarWinds to confirm:
- Which SolarWinds products and editions support Avior or SW1 in your environment.
- Whether the required features are generally available or still preview or roadmap items.
- Deployment options for self-hosted, private-cloud, public-cloud and hybrid boundaries.
- How risk thresholds, approval gates, tenant controls and durable records are administered.
- Regional availability, packaging, licensing metrics and implementation requirements.
- What measured customer outcomes, if any, can be shared under your security and procurement process.
Those answers determine whether Avior is best treated as an observability assistant, a governed workflow layer or a broader automation platform for your operations team.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
