Integrations

Supercharge Air with Relevance AI

Air is a leading platform for enterprise data integration and workflow automation.

Combine its robust data management capabilities with Relevance AI's intelligent agents to create sophisticated, AI-powered automation solutions that drive business value.

Give your AI Agents Air Superpowers

Air excels at connecting and automating data flows across enterprise systems. Relevance AI enhances this by enabling intelligent AI Agents that can analyze, act on, and derive insights from this connected data.

Intelligent Workflow Orchestration

The agent can seamlessly coordinate complex workflows across multiple platforms.

Real-Time Data Insights

Access to live data enables the agent to make informed decisions instantly.

Enhanced Customer Engagement

The agent can personalize interactions based on real-time customer data.

Tools

Equip AI Agents with the Air Tools they need

Relevance AI gives you access to Air's powerful data integration and automation capabilities within your AI-driven workflows.

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Security & Reliability

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

Built-in validation and type conversion ensure your workflows run smoothly, even when working with Air's media and asset management data.

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 Air + Relevance AI integration without writing code:
  • Organize your Air workspace: Structure your boards and assets with clear naming conventions.
  • Use proper authentication: Ensure OAuth permissions are correctly configured for read/write access.
  • Follow API best practices: Use appropriate HTTP methods for different operations (GET for retrieval, POST for creation).
  • Handle responses properly: Check status codes and response bodies to confirm successful API calls.
  • Optimize requests: Minimize API calls by batching operations when possible to prevent rate limiting.