Integrations

Supercharge Parma with Relevance AI

Parma is a powerful tool for customer relationship management that allows you to programmatically manage relationships and interact with your CRM data. With Relevance AI, you can leverage AI Agents to streamline processes and enhance decision-making.

Give your AI Agents Parma Superpowers

Parma provides a robust API-driven interface for managing customer relationships. Relevance AI amplifies this by enabling AI Agents to automate interactions and derive insights from your CRM data.

Intelligent Document Orchestration

The AI agent gains the ability to autonomously process, route, and extract data from complex documents across multiple formats and languages.

Precision Data Extraction

Enables the agent to pull specific data points from unstructured documents with 99%+ accuracy, enhancing decision-making capabilities.

Multi-System Synchronization

Seamlessly coordinates data flow between various business systems while maintaining data integrity and compliance requirements.

Tools

Equip AI Agents with the Parma Tools they need

Relevance AI integrates with Parma to enhance your customer relationship management workflows with intelligent automation.

Parma - Create Note
Creates a new note entry in the Parma CRM system, allowing users to document interactions, observations, or updates related to specific customer relationships with timestamp support.
Parma - Find Relationship
Searches and retrieves relationship records from Parma CRM using various contact details, supporting lookups by name, email, phone, or social media identifiers.
Parma - Create Relationship
Establishes a new relationship record in the Parma CRM system, enabling the creation of either person or company profiles with associated group assignments and contextual information.
Name
Parma API Call
Description
Make an authorized request to a Parma API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body configuration", "Response handling"]
Use Case
A data science team uses Parma API Call to automatically retrieve and analyze document embeddings for their semantic search application, enabling them to maintain up-to-date search capabilities without manual intervention.
Quick Start

Connect Parma to Relevance AI in minutes

Security & Reliability

The Parma and Relevance AI integration utilizes a powerful API-driven interface to enhance customer relationship management. With secure OAuth authentication, only authorized workflows can access your CRM data, ensuring data integrity and security. Relevance AI manages API operations (like finding, creating relationships, and adding notes) seamlessly in the background, allowing you to focus on building meaningful connections without worrying about errors or formatting issues.

This integration automates relationship management and streamlines note creation, providing built-in validation and type conversion to ensure your workflows run smoothly, even when data formats vary. By leveraging the capabilities of both platforms, you can enhance your CRM experience and improve overall efficiency.

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 Parma + Relevance AI integration without writing code:
  • Start with a well-structured relationship database: Use clear naming conventions and consistent data types for relationships and notes.
  • Utilize pre-built workflows: Relevance AI provides templates for managing relationships and notes, making it easy to get started.
  • Connect securely: Ensure you have the correct OAuth credentials and permissions set up for your Parma account during integration.
  • Test API calls with sample data: Validate your API requests using test relationships and notes to avoid issues in production.
  • Monitor API usage: Be mindful of rate limits and implement throttling to manage request frequency effectively.