Grain is a powerful tool for automated meeting recording management and analysis. By integrating with Relevance AI, you can unlock deeper insights and leverage AI Agents to transform meeting data into strategic actions.
Grain automates the recording and analysis of meetings, providing structured insights. Relevance AI amplifies this by enabling intelligent data processing and actionable AI Agents that can drive decisions based on meeting outcomes.
Conversation Intelligence Mastery
Empowers the AI agent to analyze and extract deep insights from recorded meetings in real-time
Pattern Recognition Amplification
Identifies recurring themes and insights across multiple meetings to surface valuable trends
Insight Automation
Automatically extracts and categorizes key moments and action items from meeting recordings
Relevance AI seamlessly integrates with Grain to enhance your meeting management workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Grain account
- A Relevance AI account with access to the projects you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration between Grain and Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access your meeting recordings and transcripts. Relevance AI manages API operations (such as GET requests for fetching recordings and POST requests for creating notes) seamlessly in the background, allowing you to focus on insights rather than technical details.
With built-in validation and support for multiple transcript formats, this integration guarantees that your data is processed accurately, even when formats differ. You can automate meeting documentation and access structured data effortlessly, enhancing your workflow efficiency.
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 Grain + Relevance AI integration without writing code:
- Start with clear meeting organization: Use descriptive titles and tags for your recordings to facilitate easy retrieval and analysis.
- Utilize structured transcripts: Choose the appropriate format for transcripts and intelligence notes to ensure compatibility with your data processing needs.
- Authenticate securely: Store your OAuth credentials safely and ensure you have the correct permissions set up for accessing Grain's API.
- Test API calls with sample data: Before implementing in a live environment, test your API calls with known recording IDs to validate functionality.
- Implement error handling: Use try-catch blocks to manage potential errors gracefully and log issues for troubleshooting.
