Skip to main content
usedby

As published on arize.com. Captured by usedby on Oct 5, 2026.

What happened

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.

From the page. arize.com, captured Oct 5, 2026

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, PagerDuty. Source, captured Oct 2, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 5, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of PagerDuty.
  • PagerDuty uses Arize AICheckedConfirmed line. Latest check across sources: Oct 5, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

50%of production time savedMiro uses Runway. Same industry: DevTools & Infrastructure$7.23M“Those 124 meetings have generated $7.23M in pipeline”Stream uses Amplemarket. Same industry: DevTools & Infrastructure34%“ticket resolution time improved up to 34%”Notion uses Decagon. Same industry: DevTools & Infrastructure