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SolarWinds Avior is an enterprise IT-operations system designed to pursue measurable goals, not merely summarize alerts. Its AI agents correlate signals, collect and test evidence, propose or execute multi-step actions, and preserve the reasoning and results in an auditable record.
The system is aimed at hybrid organizations running self-hosted data centers, private cloud, public cloud and connected environments. Some functions are available now, while automated runbooks, incident correlation and AI-generated knowledge articles are listed as 2026 expansion areas whose availability must be confirmed with SolarWinds.
What SolarWinds Avior is
SolarWinds positions Avior as “Goal-oriented AI you can trust, measure, and verify.” Rather than treating an alert as the end of the workflow, Avior is intended to work toward an operational objective such as restoring service, explaining a performance change or reducing the risk of a repeat incident.
The product correlates signals across SolarWinds products and connected environments, gathers supporting evidence, checks change and incident history, and tests possible explanations. It presents the checks it performed, their results and any limitation caused by data age. That approach is materially different from a chatbot that produces a plausible answer without showing which observations support it.
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SolarWinds describes SW1, the agentic foundation behind Avior, as a governed AI identity for IT operations. In an April 15, 2026 release, the company called it “an agentic AI teammate” built on the SolarWinds Agentic Framework. The stated aim is to move teams from reactive troubleshooting toward more resilient, increasingly autonomous operations while retaining human control over consequential changes.
How Avior’s deterministic-execution model works
“Deterministic” does not mean that an AI agent can predict every event. It refers to the controls around an agent’s decisions: defined goals, observable evidence, explicit checks, bounded risk and a durable record. A typical Avior goal follows a sequence like this:
- Define the outcome. The team sets a goal and a risk threshold for the work. The threshold determines which actions can proceed automatically and which require approval.
- Collect evidence. Avior correlates relevant signals across available products and environments, then records the observations it is using.
- Check history and context. The agent examines recent changes and prior incidents to avoid treating a known deployment, maintenance event or recurring fault as a brand-new mystery.
- Test hypotheses. Candidate explanations are checked against the available telemetry. The system shows each check and result instead of presenting only a final diagnosis.
- Apply the risk gate. Low-risk work can follow configured safe defaults. Higher-risk actions pause for an approval decision, allowing an operator to inspect the evidence and proposed plan.
- Record the outcome. Observations, plans, actions, rationale and results are retained in a durable record. That record supports review, handoffs and later verification of whether the goal was actually met.
The model is useful for organizations that need automation without an unreviewable “black box.” It also exposes an important limitation: the quality of a conclusion depends on the telemetry, integrations and history that the tenant can access. Avior’s displays of data-age limitations are therefore part of the control model, not a guarantee that every incident will have a complete explanation.
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Hybrid and self-hosted deployment
Avior is targeted at enterprise estates that span more than one hosting model. SolarWinds says Platform Connect can connect self-hosted and cloud deployments, including hybrid boundaries. SW1 is described as operating across on-premises data centers, private cloud, public cloud and hybrid architectures.
| Environment | What the published description establishes | What to verify |
|---|---|---|
| Self-hosted and on-premises | Supported SolarWinds products can use SW1 with the data users already have access to. | The exact supported-product and version matrix for your deployment. |
| Private cloud | Included in the governed operating model described for SW1. | Network, identity and data-residency requirements. |
| Public cloud | Included in the stated cross-environment scope. | Which cloud services and telemetry sources are connected in your edition. |
| Hybrid boundaries | Platform Connect is described as the connection mechanism for self-hosted and cloud deployments. | Latency, firewall, credential and tenant-isolation details. |
This broad scope does not mean every integration is automatically available. A buyer should request the current supported-product matrix and confirm whether the desired observability, service-management and infrastructure data sources are included in the proposed package.
Capabilities available now and on the roadmap
SolarWinds’ October 2025 AI release separates currently available functions from technology previews and planned 2026 expansion. The status matters because a roadmap item should not be treated as a generally available feature.
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| Capability | Status identified by SolarWinds | What it does |
|---|---|---|
| Natural-language questions | Available in SW1-enabled supported products | Answers questions about system health and existing data, including metric comparisons and recommendations. |
| Multi-step workflow launches | Documented capability | Starts a sequence of operational steps from a natural-language request, subject to the configured controls. |
| Root Cause Assist | Generally available in the October 2025 release | Helps investigate likely causes by relating signals and evidence. |
| Dynamic Threshold Enhancements | Available now in that release | Improves thresholds that adapt to changing operating patterns. |
| AI Query Assist | Technology preview | Provides an AI-assisted way to formulate or explore operational queries; preview status means production availability and behavior may change. |
| Incident correlation | Listed as a 2026 expansion area | Planned broader linking of related incidents; confirm current availability. |
| Automated runbook execution | Listed as a 2026 expansion area | Planned execution of prescribed remediation procedures; do not assume general availability. |
| AI-generated knowledge-base articles | Listed as a 2026 expansion area | Planned creation of reusable incident and resolution documentation; confirm release status. |
Approvals, safe defaults and auditability
Teams can set a risk threshold for each goal and require approval for actions above that threshold. This creates a graduated operating model rather than an all-or-nothing choice between manual troubleshooting and unrestricted automation.
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- Higher-risk actions: stop at an approval gate so an authorized person can inspect the proposed plan and supporting checks.
- Post-action review: the durable record retains what was observed, what was proposed, what was done, why it was done and what happened afterward.
SolarWinds also says SW1 uses the data users already have access to. In supported self-hosted products, administrators can disable the AI capability at the product or tenant level where that control is available. The exact control location depends on the product and edition, so administrators should confirm it in the relevant documentation or during an access discussion.
Why the approach matters to IT teams
Alert volume is not the same as operational resilience. SolarWinds reported in its October 2025 AI-agent release that nearly half of IT leaders experienced unexpected outages even though they rated their organizations’ resilience highly. That figure is a SolarWinds-reported 2025 finding, not an independent benchmark of Avior’s performance.
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Avior’s proposed value is the connection between detection and accountable action: fewer disconnected investigations, explicit checks before remediation, and evidence that can be reviewed after an incident. It may be most relevant to teams that already have extensive monitoring data but struggle to turn it into consistent, repeatable response.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What is available, and how to get access
Public SolarWinds materials present Request Access and Request Demo paths rather than a public price sheet. Pricing, packaging, regional availability, deployment prerequisites and the exact supported-product list therefore require a SolarWinds sales conversation.
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- the current Avior and SW1 packaging and licensing model;
- regional and edition-specific availability;
- the supported-product, integration and version matrix;
- which capabilities are generally available, preview-only or still planned for 2026;
- identity, data-retention, network and residency requirements for hybrid deployments;
- how approval policies, risk thresholds and audit records are administered;
- customer references or independently measured outcomes, since public materials do not establish independent benchmark results.
SolarWinds’ newsroom announced a partner-first program on February 5, 2026. Organizations that prefer channel-led procurement should verify current partner eligibility and the commercial terms directly with SolarWinds rather than assuming a particular reseller or incentive applies.
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How to evaluate Avior against other AIOps systems
A fair comparison should examine operating controls, not just a list of AI features. Use the following questions in a proof-of-value or technical review:
- Does the system show the evidence and hypothesis checks behind a recommendation?
- Can administrators set risk thresholds and approval gates per goal or workflow?
- Does it operate across the organization’s self-hosted, private-cloud, public-cloud and hybrid boundaries?
- Can it use existing observability and service-management data without creating a separate, incomplete copy?
- Are observations, plans, actions, rationale and outcomes retained in records suitable for audit and incident review?
- Which features are available now versus preview or roadmap items?
- What are the deployment model, commercial terms and measurable customer outcomes?
These questions help separate governed execution from conversational alert summarization. They also prevent a roadmap promise from being counted as a current product capability.
Bottom line
Avior is SolarWinds’ goal-oriented approach to agentic IT operations: correlate signals, test explanations, respect risk and approval policies, and preserve a record of the work. Its hybrid scope and current investigation features are clear in SolarWinds’ published descriptions, while automated runbooks, incident correlation and AI-generated knowledge articles remain capabilities to verify as 2026 releases progress. Enterprises should request a demo or access discussion and validate packaging, integrations, controls and evidence of outcomes before committing to a deployment.
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