Automatically generate PagerDuty post-mortem reports with AI
Swiftask analyzes your PagerDuty incidents in real time to draft comprehensive post-mortem reports. Stop wasting time on documentation after resolution.
Result:
Accelerate your learning loops and strengthen system resilience with zero manual effort.
AI Agents
pagerduty
Connector pagerduty · Secure OAuth 2.0
Manual post-mortem writing slows down your continuous improvement
After a critical PagerDuty incident, technical teams are often exhausted. Writing a detailed post-mortem is a tedious task that is too often neglected or delayed.
Main negative impacts:
Loss of critical knowledge
Without immediate and precise documentation, technical details and lessons learned fade from the team's memory.
High administrative burden
Compiling logs, PagerDuty alert timelines, and corrective actions takes hours of valuable engineering time.
Delayed remediation cycle
The lack of structured reports prevents the rapid identification of root causes and the implementation of lasting fixes.
Swiftask connects your PagerDuty data to a specialized AI that automatically synthesizes events, participants, and actions to produce a post-mortem report ready for review.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
Once the incident is resolved in PagerDuty, the on-call engineer must manually extract timelines, check chat logs, and write a long, complex document. The report is often published days late, or never at all.
With Swiftask + PagerDuty
As soon as the incident is resolved in PagerDuty, Swiftask generates a complete post-mortem draft including the timeline, impact, and suggested actions. The team only needs to review and finalize.
Automate your documentation in 4 key steps
1
STEP 1 : Connect your PagerDuty instance
Link your PagerDuty account to Swiftask via our secure connector to enable access to incident data.
2
STEP 2 : Define your report templates
Configure the desired output format (Markdown, Confluence, Notion) so the AI adheres to your internal standards.
3
STEP 3 : Activate the resolution trigger
Swiftask automatically detects when a PagerDuty incident status changes to 'Resolved' to start generation.
4
STEP 4 : Review and publish
Receive a notification with the report draft. Validate the content and publish it instantly to your documentation tool.
AI agent analysis capabilities
The agent reviews PagerDuty alerts, notes added during the incident, and state changes to build a coherent narrative.
- Target connector: The agent performs the right actions in pagerduty based on event context.
- Automated actions: Chronological synthesis of events. Automatic identification of stakeholders. Extraction of impact metrics. Proposal of corrective measures based on SRE best practices.
- Native governance: Every generated report is stored in Swiftask to build a historical knowledge base of your incidents.
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.
Major operational benefits
Real-time documentation
Reports are generated immediately after resolution, capturing information while it is still fresh.
Standardized practices
All your reports follow a uniform structure, facilitating cross-incident analysis.
Engineering time savings
Reduce writing time by 80%, freeing up your teams for higher-value tasks.
Reliability improvement
Identify trends and recurring breakage points in your systems more quickly.
Increased transparency
Provide clear and professional reports to stakeholders in record time.
Data privacy and security
Swiftask applies enterprise-grade security standards for your pagerduty automations.
- Restricted PagerDuty access: Use of API tokens limited to read-only needs to guarantee the security of your incidents.
- Data encryption: All data processed during report generation is encrypted at rest and in transit.
- Compliance control: You maintain full control over the data sent to the AI for report writing.
- Flexible hosting: Swiftask offers deployment options tailored to your enterprise security constraints.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your SRE operations
| Metric | Before | After |
|---|---|---|
| Post-mortem writing time | 2 to 4 hours | 15 minutes (review) |
| Report completion rate | 60% | 100% |
| Publication delay | Several days | Instant |
| Information quality | Variable | Standardized and exhaustive |
Take action with pagerduty
Accelerate your learning loops and strengthen system resilience with zero manual effort.