PagerDuty Event Intelligence: AI On-Call Noise Reduction & Summarization

PagerDuty Event Intelligence: AI On-Call Noise Reduction & Summarization

PagerDuty augments incident response with ML event grouping, suppression, responder recommendations, and LLM-based incident/postmortem drafting.

Core Features

  • Alert Grouping & Suppression: Merge related alerts; silence known noise.
  • Responder Suggestion: Identifies best on-call / service owners.
  • Past Incident Recommendations: Links similar historical resolutions.
  • AI Incident Summaries: Draft status updates & postmortems.

Use Cases

  • Reducing alert fatigue & duplicate paging.
  • Faster triage handoff with contextual briefing.
  • Standardized, faster post-incident documentation.

Integrations

  • Natively ties to monitoring (CloudWatch, Datadog, New Relic) & ChatOps.
  • ITSM and ticketing (ServiceNow, Jira) integration.

Adoption Indicators

  • 14k+ customer base; increasing attach rates of AI module.
  • Recognized improvements in MTTR & on-call experience.

Best For

  • DevOps/SRE orgs seeking mature incident response workflow AI.
  • Scale-ups formalizing on-call processes & communications.

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