Integrations

Supercharge RudderStack with Relevance AI

RudderStack is a customer data platform that enables businesses to collect, unify and activate their customer data across various channels.

Enhance your customer data capabilities with AI agents that can leverage unified data for personalized interactions and automated decision-making.

Give your AI Agents RudderStack Superpowers

RudderStack unifies customer data from multiple sources in real-time. Relevance AI transforms this unified data into intelligent actions through AI agents that can analyze, predict, and respond automatically.

Dynamic Personalization

Agents can tailor experiences in real-time based on unified customer data.

Instant Insights

Access to real-time analytics enables agents to make informed decisions swiftly.

Proactive Support

Utilize historical data to anticipate customer needs and resolve issues proactively.

Tools

Equip AI Agents with the RudderStack Tools they need

Relevance AI gives you access to RudderStack's customer data capabilities within your automated workflows and AI agents.

Security & Reliability

The integration leverages secure OAuth authentication to safely connect RudderStack's transformation capabilities with Relevance AI workflows. Automated API handling manages data transformations and event tracking seamlessly, while built-in validation ensures reliable data processing across your analytics pipeline.

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 RudderStack + Relevance AI integration without writing code:
  • Configure data transformations: Set up clear transformation rules in RudderStack before sending data.
  • Use proper authentication: Ensure OAuth credentials are correctly configured for secure API access.
  • Structure API calls: Follow RESTful practices when making requests to the transformation API.
  • Monitor responses: Track API response status codes to ensure successful data flow.
  • Validate payloads: Verify data format and structure before sending through the pipeline.