Landbot is a no-code chatbot builder that enables businesses to create conversational experiences without programming skills.
Enhance your chatbots with Relevance AI's intelligent agents to deliver more sophisticated, context-aware interactions across all channels.
Landbot excels at creating no-code conversational experiences. Relevance AI enhances these interactions with intelligent AI Agents that can understand context, make decisions, and deliver personalized responses at scale.
Intelligent Query Resolution
The agent can understand and resolve complex inquiries with precision.
Dynamic User Engagement
Engage users in real-time with personalized interactions based on their behavior.
Seamless Data Integration
Effortlessly connect with existing systems for streamlined data flow and insights.
Relevance AI gives you access to Landbot's chatbot building capabilities within your automated workflows and AI Agents.
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, ensuring only authorized workflows access your Landbot data. Relevance AI manages API operations seamlessly in the background while maintaining proper request formatting and authentication headers.
Built-in request validation and response handling ensure your chatbot workflows run reliably, even with varying data structures.
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 Landbot + Relevance AI integration without writing code:
- Configure chatbot flows properly: Set up clear conversation paths and user input validation rules.
- Use webhook integration: Leverage Landbot's webhook capabilities for real-time data exchange with Relevance AI.
- Implement proper authentication: Ensure OAuth credentials are correctly configured for secure API access.
- Monitor response times: Keep API calls efficient to maintain smooth chatbot interactions.
- Handle errors gracefully: Set up fallback responses for API failures or timeout scenarios.
