# How PagerDuty uses Arize AI

As published on [arize.com](https://arize.com/customers/pagerduty-ai-agent-quality-monitoring/). Captured by usedby on 2026-10-05.

- Company: [PagerDuty](https://www.usedby.ai/companies/pagerduty.md)
- Tool: [Arize AI](https://www.usedby.ai/tools/arize-ai.md)
- Industry: [DevTools & Infrastructure](https://www.usedby.ai/companies/industry/devtools-infrastructure.md)
- Teams: AI team, Engineering, Product

## What the story says

PagerDuty uses Arize AX to trace, evaluate and monitor the AI agents it runs in production, including offline and real-time online evals and user feedback tied to traces. Quality alerts from Arize monitors feed into PagerDuty incident response, notifying the agent team's on-call engineer and creating Jira tickets.

Summary written by usedby from the source page, in English. The figures are those of Arize AI and PagerDuty, not ours.

> PagerDuty can use those evaluations with Arize monitors and its own incident response platform. If an output-quality metric crosses a threshold, the workflow can create a PagerDuty incident, notify the agent team’s on-call engineer, and create a Jira ticket so the issue has clear ownership.

> The biggest benefit we’ve seen is that Arize AX has opened up the black box of what an agent is,
>
> Ralph Bird, Principal Engineer

## What usedby checked

We compared the story with its live page on 2026-10-05.

- Checked: the passage quoted above is copied word for word from the page, near the name of PagerDuty.
- Checked: PagerDuty uses Arize AI. Confirmed line. Latest check across sources: 2026-10-05.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/pagerduty-arize-ai · How we check: https://www.usedby.ai/methodology