Integrations

Supercharge PagerDuty with Relevance AI

PagerDuty is a powerful incident management platform that automates alert handling and on-call scheduling. With Relevance AI, you can elevate your incident response capabilities by leveraging AI Agents to streamline processes and enhance decision-making.

Give your AI Agents PagerDuty Superpowers

PagerDuty automates incident response and on-call scheduling, while Relevance AI empowers you to create intelligent workflows that can adapt and respond to incidents in real-time.

Instant Incident Orchestration

The AI agent seamlessly coordinates incident response workflows, ensuring rapid and efficient resolution of critical events.

Predictive Alert Intelligence

Leverages machine learning to analyze patterns and predict potential incidents before they impact system performance.

Automated Triage Precision

Accurately classifies and routes incidents to appropriate teams, reducing response time and human error.

Tools

Equip AI Agents with the PagerDuty Tools they need

Relevance AI seamlessly integrates with PagerDuty to enhance your incident management workflows.

PagerDuty - Trigger Incident
Creates a new incident in PagerDuty with customizable urgency levels, assignees, and conference bridge details for immediate response coordination
PagerDuty - Acknowledge Incident
Marks an existing PagerDuty incident as acknowledged, indicating that someone is actively working on resolving the issue
PagerDuty - Resolve Incident
Closes an active PagerDuty incident by marking it as resolved, signifying that the issue has been fixed
PagerDuty - Find Oncall User
Identifies the currently on-call user for a specific schedule in PagerDuty, helping to determine who is responsible for incident response
Name
PagerDuty API Call
Description
Make an authorized request to a PagerDuty API
Parameters
["OAuth Account Authentication", "HTTP Method Selection (GET, POST, PUT, DELETE, PATCH)", "Custom Request Path", "Request Body Configuration", "Custom Header Support"]
Use Case
A DevOps team uses this integration to programmatically create and update PagerDuty incidents when their monitoring system detects critical infrastructure issues, enabling automated incident management and faster response times.

Security & Reliability

The PagerDuty integration in Relevance AI streamlines incident management by automating the triggering, acknowledgment, and resolution of incidents, as well as managing on-call rotations directly within your workflows. This integration leverages secure OAuth 2.0 authentication, ensuring that only authorized workflows can access your PagerDuty data.

Relevance AI handles API operations (like triggering incidents, acknowledging them, and finding on-call users) seamlessly in the background, so you don’t have to worry about errors, formatting, or limits. Built-in validation ensures that all required fields are present, and error handling mechanisms are in place to manage common issues effectively.

With customizable alert workflows and real-time incident response handling, the integration enhances your team's ability to respond to critical incidents promptly and efficiently.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the PagerDuty + Relevance AI integration without writing code:
  • Start with a clear incident management strategy: Define clear incident types and escalation paths to streamline your response process.
  • Utilize pre-built workflows: Relevance AI provides templates for triggering, acknowledging, and resolving incidents, making it easy to get started.
  • Connect securely: Ensure you have the correct PagerDuty account and permissions set up during the integration process.
  • Test your incident workflows: Validate your incident triggers and responses with test incidents to ensure everything functions as expected.
  • Monitor API usage: Be aware of rate limits and implement backoff strategies to handle potential throttling during high-volume operations.