Automate PagerDuty
The incident is over, and now somebody has to rebuild the timeline out of twelve alerts and a chat thread before Thursday's review.
The write-up shouldn't be the worst part of the incident. AI agents pull the PagerDuty incident, every alert that rolled into it, and who sat on the escalation path, then draft the timeline for you — and any change to a service's configuration waits for your sign-off.
You
Where an agent picks up PagerDuty work
The parts of the day that interrupt you without needing your judgment.
Your agent orders the alerts by arrival, marks the escalation points, and writes the sequence out in prose — leaving you the analysis rather than the transcription.
Rather than guessing from the rota, your agent reads the escalation policy that fired and names the people it reached, in order.
Before a review, your agent lists which services generated the most incidents and which were sitting inside a maintenance window at the time.
Connected in a click, gated at the end
No service account to provision and no script to host. Your agent reads the state, proposes the change, and stops for a human.
Connect PagerDuty
One OAuth click. No tokens in a secrets manager, no bot account to create, no webhook endpoint to stand up and keep alive.
Your agent reads the real state
It pulls the current picture from PagerDuty before it proposes anything — so its suggestion reflects what is actually there, not a stale cache.
A human signs off on writes
Every change is drafted, shown with its diff, and held. Nothing lands in PagerDuty on an agent's own authority.
Nothing reaches production unreviewed
Read operations run freely. Anything that writes, merges, deploys, or pages someone waits for a person.
- 1Service configuration changes are shown as a before-and-after and held for approval.
- 2Your agent reads incidents and alerts freely; it never resolves one on your behalf.
- 3A new webhook subscription is proposed along with the events it would receive.
What your agent can do in PagerDuty
- Pull an incident together with every alert that rolled into it
- Draft a post-incident timeline from the real alert sequence
- Report who was on call and which escalation policy fired
- Check which services are currently in a maintenance window
- Update a service's configuration once you have approved it
Three things to hand over first
Draft the incident timeline
Your agent orders the alerts by arrival, marks the escalation points, and writes the sequence out in prose — leaving you the analysis rather than the transcription.
Find out who actually got paged
Rather than guessing from the rota, your agent reads the escalation policy that fired and names the people it reached, in order.
Audit the noisy services
Before a review, your agent lists which services generated the most incidents and which were sitting inside a maintenance window at the time.
A teammate, not another CI job
You could script this. Here is what changes when an agent does it instead.
Every record, reply, and update in PagerDuty is on you — and the queue never stops growing.
Your agent does the repetitive PagerDuty work and you just approve what matters.
Wiring up your own PagerDuty automation means code, hosting, credentials, and ongoing maintenance.
AgentOrg is fully managed — connect PagerDuty and your agent is working in minutes, nothing to maintain.
Rule-based tools fire blindly — no judgment, no context, and no approval step before they act.
Your agent understands your PagerDuty data, drafts the right action, and waits for your sign-off.
More integrations in server monitoring
If your stack has more than PagerDuty in it, an agent can work across the rest of it too.
Datadog
Datadog alerts fire all night and by morning you can't tell the real incident from the noise.
Sentry
One deploy turns into four thousand events of the same null check, and the three real regressions underneath it go unlooked-at until a customer writes in.
Telegram
The same questions come through Telegram all day, and the one that actually needs you scrolls out of sight.
PagerDuty questions, answered
What people ask before putting an AI agent to work — answered straight.
The reconstruction can be, and that is most of the effort. Your agent has access to the incident, its alerts, and the escalation policy that fired, so it can lay out what happened and when. What it deliberately leaves to you is why it happened and what you are changing.
Ready to automate PagerDuty?
Connect your tools, put an agent to work, and approve what matters. Free to start.