Integrations

Supercharge Bridge with Relevance AI

Bridge is a leading platform that streamlines communication and collaboration within organizations through centralized workflow management.

Enhance your team's efficiency with AI Agents that can automate processes and facilitate intelligent interactions.

Give your AI Agents Bridge Superpowers

Bridge excels at connecting teams and streamlining workflows across organizations. Relevance AI enhances these capabilities by adding intelligent AI Agents that can automate complex processes and make real-time decisions.

Intelligent Workflow Orchestration

The agent seamlessly coordinates tasks and processes, enhancing overall efficiency.

Real-Time Insight Generation

The agent provides instant analytics, empowering data-driven decision-making.

Proactive Task Automation

The agent anticipates needs and automates repetitive tasks, saving valuable time.

Tools

Equip AI Agents with the Bridge Tools they need

Relevance AI gives you access to Bridge's powerful collaboration and workflow tools within your AI-powered workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Bridge API data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about authentication, formatting, or request limits.

Built-in validation and header management ensure your API calls run smoothly, with automatic authorization handling.

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 Bridge + Relevance AI integration without writing code:
  • Use proper authentication: Ensure OAuth credentials are correctly configured and permissions are set.
  • Follow API best practices: Use appropriate HTTP methods for different operations (GET for retrieval, POST for creation).
  • Handle responses properly: Always check response status codes and handle errors gracefully.
  • Optimize requests: Minimize API calls by batching data when possible and using efficient endpoints.
  • Monitor usage: Keep track of API rate limits and implement appropriate request spacing.