Swiftask analyzes your PagerDuty incidents to draft clear and actionable on-call summaries. Stop wasting time compiling data manually.
Result:
Speed up incident reviews and improve system reliability with reports generated instantly.
AI Agents
pagerduty
Connector pagerduty · Secure OAuth 2.0
After an on-call shift, engineering teams spend hours extracting data from PagerDuty to document incidents. This repetitive task delays post-mortem analysis and burns out technical staff.
Main negative impacts:
Loss of operational time
Manual incident data collection prevents engineers from focusing on deep-dive technical problem solving.
Incomplete incident reports
Missing crucial details during manual drafting compromises the quality of post-mortem analysis.
Delayed information sharing
Delays in report production prevent a fast feedback loop between on-call teams and developers.
Swiftask connects to your PagerDuty account to automatically aggregate incidents, response times, and resolutions, producing a structured summary ready to share.
BEFORE / AFTER
Without Swiftask
An engineer finishes their shift. They must browse PagerDuty, copy incident details, paste them into a document, and try to synthesize events without missing critical info. The process takes hours.
With Swiftask + PagerDuty
At the end of the shift, Swiftask automatically compiles all PagerDuty incidents. The AI generates a complete summary report, including impact and resolution. The report is ready for review in seconds.
1
STEP 1 : Configure the Swiftask agent
Define a Swiftask AI agent dedicated to monitoring your PagerDuty incidents.
2
STEP 2 : Connect your PagerDuty services
Grant Swiftask access to your PagerDuty service data via a secure integration.
3
STEP 3 : Define your summary rules
Configure the desired output format for your summaries (Slack, email, or shared document).
4
STEP 4 : Automate production
Swiftask generates the report automatically on a schedule or on demand.
The agent analyzes incident duration, alert frequency, mean time to respond (MTTR), and resolution logs provided by PagerDuty.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-pagerduty@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Eliminate manual entry of incident data.
Get consistent and structured summaries for every on-call shift.
Accurate and complete data for more relevant analysis.
Easily share on-call performance with the rest of the organization.
Let AI handle the tedious documentation of incidents.
Swiftask applies enterprise-grade security standards for your pagerduty automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Report drafting time | 2 to 4 hours per cycle | Under 5 minutes |
| Incident data accuracy | Human error risk | 100% reliable |
| Sharing delay | Several days | Instantaneous |
Speed up incident reviews and improve system reliability with reports generated instantly.