Event intelligence and AIOps platform that uses ML-based alert grouping, change correlation, and probable-origin analysis to cut noise by up to 90%. Gen-AI agents (Insights, SRE, Shift, Scribe) automate triage, root-cause investigation, on-call handoffs, and incident documentation across the full respond lifecycle.
| Tier | Price | Includes |
|---|---|---|
Free | Free | Up to 5 users; basic alerting, on-call scheduling, escalation policies; no AIOps features |
AIOps Add-on | $699/month flat; Intelligent Alert Grouping, auto-pause transient events, Operations Console | — |
Business | $41/seat/yr | — |
PagerDuty Advance Add-on | $415/month flat; Gen-AI agents: Insights, SRE, Shift, Scribe | — |
Professional | $21/seat/yr | — |
PagerDuty AIOps cuts alert noise up to 90 percent and runs Gen-AI agents on top.
PagerDuty AIOps groups events with ML, correlates with deploys and infrastructure changes, and runs probable-origin analysis to collapse storms into single incidents. Layered above that, the Insights, SRE, Shift, and Scribe Gen-AI agents draft status updates, investigate root causes, handle on-call shift handoffs, and write incident documentation.
Who it's for. On-call teams of 10 to 100 engineers running production environments where alert fatigue is the bottleneck. Reference scenario: a regional AWS event triggers 200 alerts, AIOps groups them into 3 incidents, ties the timing to an AWS status update, identifies the affected AZ, and the SRE agent drafts the customer-facing status update.
Tradeoffs. AIOps requires the Operations Pro or Enterprise tier, not lower plans. Gen-AI agent quality varies with incident complexity. PagerDuty pricing is expensive at scale; per-user fees plus AI add-ons add up quickly for large teams. Free tier covers basic incident management with no AI.
Compare: incident.io, Squadcast, FireHydrant, Datadog Bits AI
Enterprise |
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