Put an AI agent on call inside PagerDuty
Connect PagerDuty in one click and delegate the busywork: an autonomous agent that enriches incidents, drafts postmortems, tames alert noise, and briefs the next on-call — coordinating Slack, GitHub, and the rest of your stack. You set the autonomy, it does the work.
7-day trial · Cancel anytime
Fleece AI connects to PagerDuty through managed OAuth and lets autonomous agents read incidents and their timelines, watch services, pull alerts, and draft postmortems in real time. Agents combine PagerDuty with 3,000+ other apps — Slack, GitHub, Zendesk, Gmail — so a page becomes an enriched war-room summary, an incident timeline becomes a postmortem draft, and a shift change becomes a handoff digest, under the approval rules you set.
At a glance
| Category | Developer |
|---|---|
| Availability | Pro plan and up — included in the 7-day trial |
| Connects to | 3,000+ apps via managed OAuth |
| Setup | Connect your tools — no code required |
| Autonomy | Suggest-only to fully autonomous, with approval gates |
| Pricing | 7-day trial (€1 card check, credited back), then paid plans |
By Loïc Jané · Updated June 14, 2026
What a Fleece agent does with PagerDuty
PagerDuty is where things break loudly. Alerts from your monitoring stack become incidents, incidents route through escalation policies to whoever is on call, priorities decide what wakes someone at 3 a.m., and — once the fire is out — a postmortem is supposed to capture what happened. Between the page and the postmortem sits a lot of manual work: gathering context, coordinating a response, and separating the signal from a service that pages constantly. A Fleece agent takes on that work.
Under the hood, the connection runs through managed OAuth — you authorize PagerDuty once, and Fleece handles tokens, scopes, and refresh securely. The agent can read incidents and their timelines, list services and escalation policies, see on-call schedules, pull alerts and their priorities, add notes, and draft postmortems. Event triggers let it react in real time the moment an incident is triggered, acknowledged, escalated, or resolved — no polling, no delay while a war room spins up.
What makes this different from PagerDuty's event rules and event orchestration is judgment. Rules match fields and route alerts; an agent reads the actual incident, gathers the context a responder would gather — related errors, the deploy that shipped minutes before, the customers affected — and posts it where the team is fighting the fire. And because Fleece agents work as a hierarchy — a lead agent delegating to specialized child agents — one PagerDuty-facing agent can send a child agent to check recent deploys in GitHub while another drafts the postmortem, then report back in the war room.
What the agent can do in PagerDuty
Incident enrichment
Gathers the context a responder needs — related errors, the recent deploy, the customers affected — and posts it into the incident channel within seconds of a page.
Postmortem drafts
Turns an incident timeline into a structured postmortem draft — summary, impact, timeline, contributing factors — ready for a human to review and finalize.
On-call handoff digests
Produces a shift-change digest: open incidents, what's still unresolved, and which services have been paging most, so the next on-call starts informed.
Alert-noise triage
Groups duplicate alerts, spots noisy services, and flags suppression or grouping candidates for your approval instead of letting the same page fire all night.
Real-time triggers
Reacts the moment an incident is triggered, acknowledged, escalated, or resolved, through event-based triggers rather than polling.
Approval gates
Anything sensitive — resolving an incident, suppressing alerts, changing a priority — pauses for your one-click sign-off before it happens.
Automations teams run on PagerDuty
These are concrete setups you can describe to a Fleece agent in plain language. Each one combines PagerDuty with other connected apps.
On-call: enrich every incident before the war room fills up
The moment PagerDuty triggers an incident, the agent gathers context a responder would otherwise chase: related errors from your logging, the deploy that shipped in GitHub minutes earlier, and the customers on the affected service. It posts a single enriched summary into the Slack war room, so the first responder opens with the full picture instead of a bare alert.
Reliability: a postmortem draft from the timeline
Once an incident resolves, the agent reads its full PagerDuty timeline — when it triggered, who acknowledged, what was tried, when it cleared — and drafts a structured postmortem: summary, customer impact, timeline, and contributing factors. It posts the draft in Slack and opens follow-up issues in GitHub for each action item, leaving a human to review and finalize.
Leadership: an on-call handoff that briefs the next shift
At each shift change the agent compiles a handoff digest: incidents still open, which escalation policies fired, and which services paged most over the shift. It emails the digest through Gmail to the incoming on-call and posts it in Slack, so the next engineer starts informed instead of scrolling through a night of alerts.
Ops: tame the service that pages all night
The agent watches alert volume across services, groups duplicates, and identifies noisy services and flapping alerts. It correlates repeat pages against open Zendesk tickets to tell real customer impact from monitoring noise, then flags suppression and grouping candidates for a human to approve — never silencing anything on its own.
How to connect PagerDuty to Fleece AI
Create your Fleece account
Sign up and start the 7-day trial. You land in a workspace where agents, flows, and integrations live together.
Connect PagerDuty via managed OAuth
Pick PagerDuty from the integrations catalog and authorize it in one click. Fleece manages tokens and scopes for you; you can revoke access at any time from PagerDuty or from Fleece.
Describe the job in plain language
Create an agent and tell it what to watch and what to do — "when an incident triggers, enrich it with related errors and the recent deploy, and post it to the war room". No flowchart building required.
Set autonomy and approval gates
Choose what the agent may do on its own and what waits for your sign-off. Sensitive actions — resolving incidents, suppressing alerts, changing priorities — pause for one-click approval.
Run it on triggers or a schedule
Let the agent react to PagerDuty incident events in real time, or schedule recurring flows — an on-call handoff digest at each shift change, a weekly noisy-service report — that run without you.
PagerDuty works better with the rest of your stack
Incident response is never one tool. Pair PagerDuty with Slack to turn every page into an enriched war-room post, with GitHub to tie incidents to the deploy that caused them and open follow-up issues from a postmortem, with Zendesk to weigh real customer impact against monitoring noise, or with Gmail to send on-call handoff digests to the next shift. It all runs through the same agent, under the same approval rules. Fleece connects to 3,000+ apps, so the observability and support stack you already run is almost certainly covered.
Frequently asked questions
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Put incident response on autopilot
Connect PagerDuty in one click, describe the job in plain language, and let an autonomous agent enrich incidents and tame the noise. 7-day trial, cancel anytime.
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