Integrations

Supercharge Yodiz with Relevance AI

Yodiz is a cloud-based project management and agile planning tool designed to help teams streamline their workflows and enhance collaboration.

Supercharge your project management with AI Agents that can analyze trends, automate reporting, and provide data-driven insights.

Give your AI Agents Yodiz Superpowers

Yodiz delivers comprehensive project management and agile planning capabilities. Relevance AI enhances this with intelligent AI Agents that can analyze project data, automate status updates, and optimize resource allocation.

Dynamic Workflow Orchestration

The agent automates task assignments and prioritization based on real-time project data.

Insightful Predictive Analytics

The agent analyzes historical data to forecast project risks and recommend proactive measures.

Data-Driven Decision Support

The agent provides actionable insights from real-time analytics, empowering informed strategic choices.

Tools

Equip AI Agents with the Yodiz Tools they need

Relevance AI gives you access to a wide variety of Yodiz tools within your AI-powered workflows.

Security & Reliability

The integration leverages OAuth authentication to securely connect with your Yodiz project management data. Relevance AI manages API methods and requests behind the scenes—handling authentication headers, request formatting, and response processing automatically.

Built-in request validation and response handling ensure reliable data exchange between your workflows and Yodiz.

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 Yodiz + Relevance AI integration without writing code:
  • Organize your Yodiz projects: Maintain clear project structures and task hierarchies.
  • Use proper authentication: Ensure OAuth credentials are correctly configured and permissions are appropriate.
  • Follow API best practices: Use appropriate HTTP methods and include required parameters in requests.
  • Monitor response codes: Check API response status to ensure successful data transmission.
  • Implement error handling: Set up proper error notifications and fallback procedures for failed requests.