Google Chat is a communication platform that enables teams to collaborate effectively through messaging and spaces. With Relevance AI, you can elevate your chat experience by leveraging AI Agents to automate tasks and enhance team productivity.
Google Chat facilitates real-time collaboration and message management, while Relevance AI empowers your AI Agents to automate interactions and deliver insights dynamically.
Real-Time Communication Orchestration
The AI agent seamlessly coordinates and routes messages across teams, ensuring efficient information flow and response management.
Knowledge Discovery Acceleration
Rapidly processes and retrieves relevant information from chat histories and shared documents to provide instant, contextual responses.
Workflow Automation Mastery
Creates and maintains automated processes for routine tasks, project updates, and team coordination without manual intervention.
Relevance AI integrates seamlessly with Google Chat, enhancing your workflows with intelligent communication capabilities.
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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Google Chat integration enables seamless communication and collaboration within your applications, allowing you to manage messages, spaces, and members programmatically. This integration is perfect for building chat bots, automated notifications, and team collaboration tools.
Key benefits include automated message management, space and member administration, real-time communication capabilities, and secure OAuth2.0 authentication.
To get started, ensure you have a Google Workspace account with Google Chat enabled and the necessary OAuth 2.0 credentials, including a Google Cloud Project, OAuth client ID and secret, and a configured OAuth consent screen.
Make sure you have active Google Chat API access and the required permissions, such as the Google Chat API scope for message operations and administrative access for space management.
Set up OAuth authentication and configure your base API settings to begin using the integration. You can quickly list available spaces, send messages, and list messages in a space using the provided code snippets.
For troubleshooting, common issues include authentication errors, space access issues, message creation failures, and pagination problems. Solutions are provided for each issue, along with error response formats to help you diagnose problems effectively.
For additional support, consult the Google Chat API documentation or contact your integration platform support team.
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 Google Chat + Relevance AI integration without writing code:
- Start with a clear Google Chat space: Use descriptive space names and ensure all members have the necessary permissions.
- Utilize pre-built message templates: Relevance AI provides templates for common messages and notifications—perfect for quick implementation.
- Connect securely: Ensure you configure OAuth 2.0 credentials correctly and approve the necessary scopes during setup.
- Test your messages: Send test messages to a private space before deploying to larger teams to avoid miscommunication.
- Monitor API usage: Be aware of rate limits and use pagination for large message sets to maintain performance.
