Automate incident response from PagerDuty alert to Jira ticket

When PagerDuty flags an incident, the system creates a Jira ticket, alerts Slack, and tracks resolution time.

How the work actually flows

It branches. Any that apply are taken.

Pattern: Multi-Choice (6)

flowchart TD trig>"pagerduty incident alert received"]:::trig s0[("gather service and oncall context")]:::store s1["ai assesses severity"]:::svc s2["create jira ticket"]:::task s3["track resolution and schedule post-mortem"]:::task trig --> s0 s0 --> s1 s1 --> s2 gx{"○ how critical is issue"}:::gate s2 --> gx p00["post slack notification"]:::task gx -->|"notify team"| p00 p10["escalate to leadership"]:::task gx -->|"critical issue found"| p10 p00 --> s3 p10 --> s3 out[/"incident ticket created and tracked"/]:::out pay{{"faster incident response and post-mortems"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetAny that applyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsMessaging & NotificationsAPI & Webhook IntegrationProject & Task Management
Connects
PagerDutyJiraSlackOpenAIPort

The problem it solves

When an incident hits, someone has to manually create a ticket, dig up context about the service, and notify the right people, all while the clock is ticking. Afterward, scheduling a post-mortem and writing it up often falls through the cracks.

Who it fits

Engineering and ops teams handling on-call incidents.

How it works

  1. PagerDuty sends an incident event to the system
  2. Service context, on-call engineers, and recent deployments are pulled from your catalog
  3. AI assesses severity and recommends investigation steps
  4. A Jira ticket is created and the team's Slack channel is notified, with critical issues escalated to leadership
  5. When resolved, the system calculates resolution time and schedules a post-mortem with documentation
What you get

Incidents resolved with nothing missed

PagerDuty incidents automatically become tracked Jira tickets with Slack alerts and resolution times, so nothing slips through.

What you get

A fully documented Jira incident ticket, Slack alerts, and a scheduled post-mortem with resolution metrics.

What you need

A PagerDuty account, a Jira project, a Slack workspace, an OpenAI API key, and a Port account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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