Integrations

Supercharge Trainual with Relevance AI

Trainual is a cloud-based training and onboarding platform that helps businesses document and manage their processes, policies and procedures.

Transform your training materials into interactive learning experiences with AI Agents that can provide real-time guidance and support.

Give your AI Agents Trainual Superpowers

Trainual brings structured training and documentation to employee onboarding and development. Relevance AI enhances this with intelligent AI Agents that can guide, assist and automate the learning experience.

Intelligent Guidance

The agent provides real-time support, directing users to relevant training materials.

Personalized Learning Paths

It tailors training recommendations based on individual performance and needs.

Automated Compliance Tracking

The agent ensures timely reminders for mandatory training, reducing compliance risks.

Tools

Equip AI Agents with the Trainual Tools they need

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

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Trainual 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 rate limits.

Built-in validation and error handling ensure your training workflows run smoothly, even when content structures change.

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 Trainual + Relevance AI integration without writing code:
  • Organize your Trainual content: Structure subjects and topics logically before integration.
  • 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).
  • Implement error handling: Monitor API responses and status codes to ensure successful data transfer.
  • Manage API limits: Space out requests and use batch operations when possible to avoid rate limiting.