Trusted by companies of all sizes
ARI is InsightFinder’s operational AI SRE for incident response. It shrinks incident cycles by staying grounded in real operational evidence, including incidents, anomalies, change events, and causal chains. You verify its predictions and findings, then act quickly.
Trusted by companies of all sizes
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ARI is InsightFinder’s operational reliability agent. It works at real-time speed inside the incident response workflows your team already runs. Instead of guessing, ARI grounds every answer in the telemetry and change context your systems produce.
That grounding is the point. ARI retrieves validated evidence from the tools you already monitor, then pairs it with explanations you can check. You keep control of the decision while ARI does the heavy lifting of gathering and correlating the signals.
InsightFinder works with enterprise reliability teams at companies including Comcast, Dell, FedEx, and NBCUniversal.
ARI opens every shift with a summary of the last 24 hours. It prioritizes unhealthy systems and tells you what happened and what still needs your attention. You start with context instead of an empty search bar.
During an active incident, ARI returns root cause analysis at real-time speed. You can ask as many follow-up questions as you need. ARI retrieves incident context and narrows the scope as you probe, keeping continuity until you are ready to act.
ARI shows its work. Every answer arrives with tables and charts alongside the explanation, so you can trace a conclusion back to the underlying telemetry and change events. That structure lets you verify a finding before you act on it.
ARI produces comparison reports that place system health side by side across time windows. It surfaces the causal factors behind each shift, so you can quantify how reliability changed after a fix or a release.
ARI acts on your behalf when you approve it. It creates JIRA tickets and triggers workflows like network probes to validate a root cause.
It can also remediate incidents with human-in-the-loop steps such as rolling back a deployment. You keep the final say on every action.
You can work with ARI directly inside Slack or Microsoft Teams. Ask a question or start a validation workflow without leaving the channel where your team already coordinates.
ARI keeps improving in production. Feedback loops built on InsightFinder’s Composite AI techniques capture real signals from your environment. They refine the models against your systems, so accuracy climbs the longer ARI runs.
ARI grounds every answer in your own telemetry, so findings stay verifiable. It follows your questions with continuity until you are ready to act. Then it takes action on your behalf, closing the gap between insight and remediation.
That combination cuts the time between detection and resolution. You can pair ARI with InsightFinder’s IT reliability platform and AI reliability tooling for coverage across traditional and AI-enabled systems.
ARI plugs into the workflows your engineers already follow. The table below shows where it fits.
| Workflow stage | How ARI helps |
|---|---|
| Triage and root cause analysis | Retrieves incident context and narrows scope as you probe |
| Escalation and incident command | Produces clean stakeholder narratives on demand |
| Fast verifications | Returns structured evidence you can validate against telemetry |
| Post-incident learning | Generates comparison reports that surface causal factors |
| Reliability reporting | Quantifies how reliability changed after fixes or releases |
You do not replace your process. You give it an agent that moves faster.
Because ARI runs on top of the InsightFinder Unified Intelligence Engine, it works across metrics, logs, traces, and events from any source. That breadth keeps its evidence tied to what is actually happening in production.
ARI connects to the tools you already run, with no rip-and-replace. It brings anomaly detection, root cause analysis, incident prediction, and automated remediation to your observability stack. See the full InsightFinder integrations catalog for details.
For monitoring and observability, ARI integrates with platforms including OpenTelemetry, Prometheus, Datadog, Elastic, and ServiceNow. It also works with leading model providers, including OpenAI, Anthropic, and Gemini.
During an incident, ARI provides root cause analysis quickly and lets you ask as many follow-up questions as you need to investigate further. It retrieves incident context and narrows the scope as you probe further, keeping continuity until you are ready to act.
ARI retrieves validated, precise evidence from the systems you already monitor, and it works at real-time speed. Every conclusion traces back to your actual telemetry. This grounding in your existing monitoring data is what lets you verify ARI's findings before you act on them.
No. ARI is built to fit inside the incident response workflows you already run, plugging into the observability and monitoring environment you already have.
It brings AI-powered anomaly detection, root cause analysis, incident prediction, and automated remediation to those tools. You do not have to adopt a separate system.
ARI is an operational agent designed to be useful at real-time speed. It retrieves precise, validated evidence from the systems you already monitor, and it helps you drill down with continuity until you are ready to act.
ARI can also act on your behalf, going beyond answering questions to help you resolve incidents.
Take InsightFinder AI for a no-obligation test drive. We’ll provide you with a detailed report on your outages to uncover what could have been prevented.