Integrations

Supercharge Dixa with Relevance AI

Dixa is a customer experience platform that facilitates seamless communication and support across various channels. By integrating with Relevance AI, you can leverage AI Agents to automate and enhance customer interactions, driving better engagement and satisfaction.

Give your AI Agents Dixa Superpowers

Dixa's CX platform streamlines customer interactions across multiple channels. Relevance AI amplifies this by enabling AI Agents to manage and optimize these interactions, ensuring a more personalized and efficient customer journey.

Seamless Conversation Orchestration

AI agent intelligently routes, manages, and threads customer conversations across all Dixa channels in real-time

Predictive Response Mastery

Leverages historical interaction data to anticipate customer needs and generate contextually relevant responses

Workflow Automation Excellence

Creates and optimizes custom workflows based on conversation patterns and successful resolution pathways

Tools

Equip AI Agents with the Dixa Tools they need

Relevance AI integrates with Dixa to enhance customer experience workflows through intelligent automation.

Dixa - Add Tag to Conversation
Adds a specific tag to an existing conversation in Dixa, allowing for better organization and categorization of customer interactions
Dixa - Add Message to Conversation
Appends a new message to an existing conversation thread, supporting both inbound and outbound communication between agents and end users
Dixa - Add Message to Conversation
Appends a new message to an existing conversation thread, supporting both inbound and outbound communication between agents and end users
Dixa - Create Conversation
Initiates a new conversation thread with customizable properties including channel selection, subject, and message content for both email and contact form channels
Dixa - Set Custom Contact Attributes
Configures and updates custom attributes for a specific contact, enabling personalized contact management and data organization
Name
Dixa API Call
Description
Make an authorized request to a Dixa API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A customer service team uses the Dixa API Call to automatically fetch conversation histories when tickets are escalated, enabling agents to quickly access complete customer interaction context and provide more informed support responses.

Security & Reliability

The Dixa and Relevance AI integration utilizes secure OAuth authentication, ensuring that only authorized workflows can manage customer interactions through Dixa's CX platform. Relevance AI automates API operations (such as creating conversations, adding messages, and managing tags) in the background—eliminating concerns about errors, formatting, or rate limits.

With built-in validation and custom attribute management, this integration guarantees that your customer experience workflows operate seamlessly, even when dealing with diverse data 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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Dixa + Relevance AI integration without writing code:
  • Start with a clear Dixa setup: Ensure your Dixa account is properly configured with the necessary API access and permissions.
  • Utilize pre-built workflows: Relevance AI provides templates for managing conversations, adding messages, and setting attributes—perfect for quick implementation.
  • Connect securely: Make sure to use the correct OAuth credentials and verify permissions during the integration setup.
  • Test your API calls: Use test data to validate your API requests and responses before deploying to production.
  • Monitor API usage: Keep an eye on rate limits and implement request throttling to avoid hitting usage caps.