Smarter Report Generation for PagerDuty Teams
Turn Report Generation into a background job. Arahi AI agents use PagerDuty to execute on your behalf, 24/7.
Benefits
- One-Click Reports
- Generate comprehensive reports from multiple data sources with a single trigger.
- Real-Time Dashboards
- Always-current metrics that update automatically as new data flows in.
- Custom Templates
- Build report templates once and let AI populate them on any schedule you define.
- Insight Highlights
- AI surfaces key trends, anomalies, and actionable insights within every report.
Capabilities
- Issue & Bug Tracking Automation
- AI triages new issues, assigns severity levels, and routes bugs to the right developer based on code ownership.
- CI/CD Pipeline Triggers
- React to build failures, test results, and deployment events — AI notifies teams and triggers rollback workflows when needed.
- Pull Request Workflows
- AI assigns reviewers, enforces coding standards checks, and posts summary comments on new pull requests.
- Add service to incident workflow trigger
- Arahi AI can this endpoint adds a service to an existing incident workflow trigger in pagerduty. it allows you to associate a specific service with a trigger, enabling automated incident management processes for that service. use this endpoint when you need to connect a service to an incident workflow, typically during the setup or modification of your incident response procedures. the endpoint requires the trigger's id and the service's id to make the association. it's important to note that this operation doesn't create new services or triggers, but rather links existing ones. ensure that both the trigger and service exist in your pagerduty account before making this call. This action triggers automatically based on your workflow rules — no manual steps needed.
- Aggregate escalation policy incident metrics
- Arahi AI can this endpoint analyzes and aggregates incident metrics across all escalation policies in pagerduty. it allows for detailed filtering and customization of the analysis, enabling users to gain insights into incident patterns, response times, and escalation effectiveness. the endpoint is particularly useful for operational reviews, performance analysis, and identifying areas for improvement in incident management processes. it provides flexibility in data selection through various filters and supports different time-based aggregations for comprehensive reporting. This action triggers automatically based on your workflow rules — no manual steps needed.
- Associate service dependencies
- Arahi AI can associates multiple service dependencies in pagerduty, allowing you to define relationships between supporting and dependent services. this endpoint is used to establish a hierarchical structure of services, which is crucial for effective incident management and impact analysis. it enables you to create multiple dependencies in a single api call, improving efficiency when setting up complex service relationships. use this endpoint when you need to define or update the dependency structure of your services in pagerduty, such as during initial setup, service restructuring, or when adding new services to your incident management workflow. This action triggers automatically based on your workflow rules — no manual steps needed.
How it works
- Connect PagerDuty
Authorize PagerDuty and Arahi AI hooks into your issues, repos, and deployment pipelines.
- Configure Dev Workflows
Define triggers for PagerDuty events — new issues, PR merges, build failures — and the AI actions to take.
- Ship Faster with Less Toil
AI automates the tedious parts of your PagerDuty workflow. Track issues triaged, alerts handled, and developer time saved.
Use cases
- Pull Request Hygiene
- AI assigns reviewers, enforces linting and test-coverage checks, and posts summary comments — keeping PR turnaround fast without manual review-request chasing.
- Release Notes Automation
- AI compiles commit messages, merged PRs, and closed issues into formatted release notes for every deployment, ready for changelog publication.
- Developer Productivity Reporting
- AI tracks code velocity, review turnaround, and deployment frequency across teams with engineering-leadership dashboards that surface bottlenecks.
Frequently asked questions
- How does Arahi AI automate report generation directly inside PagerDuty?
- Arahi AI connects natively with PagerDuty to handle the full report generation workflow. The AI agent monitors PagerDuty events, processes report generation tasks automatically, and writes results back to PagerDuty — no copy-pasting or tab-switching required.
- Can I customize which PagerDuty events trigger report generation actions?
- Yes. You define exactly which PagerDuty events start report generation workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so report generation actions only fire when your specific criteria are met in PagerDuty.
- How long does it take to set up report generation automation with PagerDuty?
- Most users connect PagerDuty and launch their first report generation automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure report generation-specific rules through a visual no-code builder.
- How does PagerDuty data stay secure during report generation automation?
- All data exchanged between PagerDuty and Arahi AI during report generation processing is encrypted in transit and at rest. We use OAuth tokens for PagerDuty access, never store raw credentials, and maintain full audit logs of every report generation action.
- What kinds of report generation can the agent produce for PagerDuty?
- The agent assembles operational reports, executive dashboards, client deliverables, and the pagerduty-specific reports your business runs — pulling data from every connected system and applying your formatting standards consistently.
- Can the report generation agent surface insights, not just numbers, for PagerDuty?
- Yes. The agent highlights trend changes, anomalies, and KPI threshold breaches with plain-language commentary — so pagerduty stakeholders read insights, not just charts they have to interpret on their own.
- What happens when the report generation agent encounters an issue in PagerDuty?
- When the AI hits an edge case during report generation processing in PagerDuty, it escalates to your team with full context — the PagerDuty record, what was attempted, and why it needs review. Your report generation pipeline never stalls or loses data.
- How does report generation automation scale with increased PagerDuty volume?
- The report generation agent scales automatically as your PagerDuty activity grows. Whether you process 10 or 10,000 report generation tasks per day from PagerDuty, the AI handles the volume without slowdowns or additional configuration.
- Can I test report generation automation with PagerDuty before going live?
- Yes. You can run report generation workflows in test mode using sample PagerDuty data before activating on live records. This lets you verify every report generation rule works correctly with your PagerDuty setup before processing real data.
- Do I need technical skills to connect PagerDuty for report generation automation?
- No coding required. The no-code builder walks you through connecting PagerDuty and configuring report generation rules visually. Your team can set up, modify, and manage PagerDuty-based report generation workflows without any developer involvement.