Chaport is a customer communication platform specializing in live chat and messaging solutions for enhanced customer engagement.
Supercharge your customer interactions with AI agents that can handle complex queries, automate workflows, and provide personalized support.
Chaport excels at real-time customer engagement through live chat and messaging. Relevance AI transforms this into intelligent conversations with AI agents that can understand context, automate responses, and deliver personalized experiences at scale.
Instantaneous Insights
The agent processes customer data in real-time, delivering immediate insights for enhanced decision-making.
Personalized Engagement
Adapts interactions based on customer behavior, ensuring tailored experiences that boost satisfaction.
Proactive Support
Anticipates customer needs and initiates conversations, reducing response times and enhancing service quality.
Relevance AI gives you access to Chaport's customer communication capabilities within your AI agent 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 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 integration leverages secure OAuth authentication to safely access your Chaport chat data. Relevance AI manages API operations seamlessly in the background, handling all request methods while ensuring proper authorization and data formatting.
Built-in validation and error handling ensure reliable communication between your workflows and Chaport's messaging platform.
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.
Best Practices for Non-Technical Users
To get the most out of the Chaport + Relevance AI integration without writing code:
- Configure API authentication: Ensure proper OAuth setup and permission scopes are granted.
- Structure chat data: Organize conversation data consistently for optimal processing.
- Use webhooks wisely: Set up targeted event triggers to avoid unnecessary API calls.
- Monitor response times: Keep API requests efficient by limiting payload sizes.
- Implement error handling: Set up fallbacks for rate limits and connection issues.
