Backlog is a comprehensive project management platform that helps teams track tasks, manage code, and collaborate effectively.
Supercharge your project management with AI Agents that can automate workflows and provide intelligent insights.
Backlog excels at project and task management for development teams. Relevance AI enhances this with intelligent AI Agents that can automate task assignment, provide real-time insights, and streamline project workflows.
Intelligent Task Orchestration
The agent optimizes task assignments based on team dynamics and workload.
Proactive Project Insights
Real-time data analysis enables early detection of potential project delays.
Enhanced Decision Support
Data-driven insights empower teams to make informed project decisions swiftly.
Relevance AI gives you access to a wide variety of Backlog tools within your AI-powered 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 Backlog account
- A Relevance AI account with access to the workspace you want to integrate
- Authorization (connect securely via OAuth—no manual credential storage)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Backlog data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about authentication tokens, request formatting, or API limits.
Built-in validation and error handling ensure your workflows run smoothly across Backlog's project management features.
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.
Best Practices for Non-Technical Users
To get the most out of the Backlog + Relevance AI integration without writing code:
- Organize your Backlog projects: Maintain clear project structures and issue hierarchies.
- Use proper authentication: Ensure OAuth credentials are correctly configured and permissions are appropriate.
- Follow API best practices: Use appropriate HTTP methods (GET, POST, PUT) for different operations.
- Monitor response codes: Check status codes and response bodies to verify successful API calls.
- Implement error handling: Set up proper error notifications and fallback procedures for failed requests.
