Sellsy is a comprehensive business management platform that helps companies streamline their CRM, invoicing, and project management operations.
Supercharge your business processes with AI Agents that can intelligently interact with customers, automate workflows, and provide actionable insights.
Sellsy provides robust business management and CRM capabilities. Relevance AI enhances these features with intelligent AI Agents that can automate customer interactions, streamline sales processes, and deliver data-driven insights.
Intelligent Insights
The agent analyzes data to provide actionable insights for informed decision-making.
Seamless Automation
Automates repetitive tasks, freeing up time for teams to focus on strategic initiatives.
Personalized Engagement
Delivers tailored interactions based on customer history and preferences.
Relevance AI gives you access to a wide variety of Sellsy tools within your AI-powered 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 Sellsy account
- A Relevance AI account with access to your workspace
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication to safely access your Sellsy data, with Relevance AI managing API operations like GET, POST, PUT, PATCH and DELETE behind the scenes—eliminating concerns about authorization, formatting or rate limits.
Built-in request validation and response handling ensure reliable data exchange between your workflows and Sellsy's API endpoints.
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 Sellsy + Relevance AI integration without writing code:
- Configure OAuth properly: Ensure correct Sellsy account authorization and permission settings.
- Structure API requests: Use appropriate HTTP methods and maintain consistent path formatting.
- Manage data flow: Keep request bodies organized and use proper JSON formatting.
- Handle responses: Monitor status codes and implement error handling in workflows.
- Optimize performance: Cache responses when possible and minimize unnecessary API calls.
