Integrations

Supercharge Instabot with Relevance AI

Instabot is a leading conversational AI platform that creates intelligent chatbots for business communication.

Enhance your customer interactions with powerful AI agents that combine Instabot's NLP capabilities with Relevance AI's advanced automation and analytics.

Give your AI Agents Instabot Superpowers

Instabot delivers intelligent chatbot interactions across multiple channels. Relevance AI enhances these capabilities by enabling sophisticated AI agents that can process complex queries and deliver personalized responses at scale.

Enhanced Conversational Mastery

The agent can engage users in natural, fluid conversations using advanced NLP capabilities.

Intelligent Data-Driven Insights

Leverage analytics to gain actionable insights from user interactions for better decision-making.

Real-Time Integration Efficiency

Connect effortlessly with CRM and ERP systems for real-time data access and enhanced customer insights.

Tools

Equip AI Agents with the Instabot Tools they need

Relevance AI gives you access to Instabot's conversational AI capabilities within your automated workflows and AI agents.

Security & Reliability

The integration leverages secure OAuth authentication, ensuring only authorized workflows access your Instabot chatbot data. Relevance AI manages API operations seamlessly in the background—handling request methods, paths, and body content automatically.

Built-in request validation and response handling ensure reliable bot interactions, even with varying message formats.

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 Instabot + Relevance AI integration without writing code:
  • Configure OAuth properly: Ensure correct authorization settings and permission scopes are set for your Instabot account.
  • Structure API requests: Use consistent endpoint paths and proper HTTP methods for each API call.
  • Handle responses carefully: Monitor response status codes and implement proper error handling in your workflows.
  • Validate payloads: Ensure request bodies match the expected format before sending to prevent failed calls.
  • Respect API limits: Implement appropriate request spacing and monitor usage to avoid hitting rate limits.