Pivotal Tracker is a project management tool designed for agile development, allowing teams to create and manage projects and stories efficiently. With Relevance AI, you can leverage AI Agents to enhance your project workflows and drive better results.
Pivotal Tracker streamlines agile project management with its robust features. Relevance AI amplifies this by enabling intelligent AI Agents to automate tasks and optimize project outcomes.
Predictive Sprint Orchestration
Analyzes historical data and team patterns to optimize sprint planning and resource allocation with precision
Story Point Intelligence
Leverages past project metrics to provide accurate story point estimates and complexity assessments
Real-time Dependency Detection
Identifies and flags potential blockers and dependencies across stories before they impact delivery
Relevance AI seamlessly integrates with Pivotal Tracker to enhance your project management workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
This integration enables seamless interaction with Pivotal Tracker's project management capabilities through Relevance AI's platform. It allows you to programmatically create and manage projects, stories, and make authenticated API calls to Pivotal Tracker, streamlining your agile development workflow.
Key benefits include automated project and story creation, secure OAuth authentication, flexible API access for custom implementations, and real-time project management automation.
To get started, ensure you have a Pivotal Tracker account with administrative access and a Relevance AI account. You will also need Pivotal Tracker OAuth credentials and the `pipedream-pivotal-tracker-read-write` permission scope.
Set up your environment with HTTPS support and JSON parsing capability, along with an API client that supports OAuth 2.0.
Begin by configuring OAuth authentication and the base URL for Pivotal Tracker. You can then create a new project and stories using the provided JSON structures, ensuring to handle responses appropriately.
For troubleshooting, common issues include authentication errors, project creation failures, and API rate limiting. Implement error handling and response validation to ensure smooth operation.
For further assistance, refer to the Pivotal Tracker API Documentation, OAuth Configuration Guide, and Rate Limiting Documentation.
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.
To get the most out of the Pivotal Tracker + Relevance AI integration without writing code:
- Start with a clear project structure: Define clear project names and descriptions to maintain organization.
- Utilize predefined story templates: Relevance AI provides templates for common story types, making it easier to create consistent entries.
- Connect securely: Ensure you use the correct OAuth credentials and permission scopes during setup.
- Test API calls with sample data: Validate your API requests using test projects and stories to avoid issues in production.
- Monitor API usage: Be aware of rate limits and implement throttling to manage request frequency effectively.
