Vivocalendar is a powerful tool for appointment scheduling and management, allowing users to create and manage appointments effortlessly. With Relevance AI, you can elevate this functionality by incorporating AI Agents that automate and optimize your scheduling processes.



Vivocalendar simplifies appointment management with its robust API, while Relevance AI enhances this by enabling intelligent workflows that can adapt and respond in real-time.
Intelligent Time Orchestration
The AI agent optimizes scheduling patterns across multiple calendars to maximize efficiency and minimize conflicts
Cross-timezone Synchronization
Seamlessly coordinates meetings across global time zones while considering local business hours and preferences
Engagement Pattern Recognition
Identifies optimal meeting times and durations based on participant engagement and success metrics
Relevance AI integrates with Vivocalendar to streamline appointment scheduling and management within your automated 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 Vivocalendar account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Vivocalendar integration with Relevance AI utilizes a powerful API interface to streamline appointment scheduling and management. This integration allows you to programmatically create, cancel, and manage appointments while leveraging Relevance AI's workflow automation capabilities.
With automated appointment scheduling and OAuth-based secure authentication, you can ensure real-time calendar management and seamless API integration.
To get started, ensure you have the necessary accounts and credentials, including a Vivocalendar account with API access, a Relevance AI account, and OAuth credentials for Vivocalendar with the permission type set to pipedream-vivocalendar-read-write
.
Make sure your system meets the requirements, including Node.js 12.x or higher and HTTPS support for API calls. You will also need admin access to Vivocalendar and the appropriate API scope permissions for appointment creation, cancellation, and user management.
Begin your setup by installing the Relevance AI SDK with npm install @relevanceai/sdk
. Configure OAuth authentication and initialize the API client to start making API calls.
For creating an appointment, structure your data accordingly and use the transform
method to send your request. Similarly, you can cancel appointments or make custom API calls by following the provided examples.
In case of issues, refer to the troubleshooting section for common errors and their solutions, such as authentication errors, invalid appointment creation, and API rate limiting. Implement best practices like input validation, error handling, and using webhook endpoints for real-time updates to enhance your integration.
For further assistance, consult the Vivocalendar and Relevance AI documentation, community forums, or reach out to technical support at [email protected].
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 Vivocalendar + Relevance AI integration without writing code:
- Start with a clear appointment structure: Define clear fields for appointment details such as time, date, and service type to ensure consistency.
- Utilize pre-built workflows: Relevance AI provides templates for creating, canceling, and managing appointments, making it easy to get started.
- Connect securely: Ensure you use the correct OAuth credentials and permissions during setup to maintain secure access.
- Test your API calls: Use test data to validate appointment creation and cancellation before deploying to production.
- Monitor API usage: Keep an eye on rate limits and implement caching strategies to optimize performance and avoid throttling.