Integrations

Supercharge NetHunt CRM with Relevance AI

NetHunt CRM is a versatile customer relationship management tool that allows you to manage records, comments, and Gmail threads effectively. With Relevance AI, you can elevate your CRM experience by leveraging AI Agents to automate processes and gain deeper insights into your customer interactions.

Give your AI Agents NetHunt CRM Superpowers

NetHunt CRM streamlines your customer relationship management with powerful record and comment management. Relevance AI amplifies these capabilities by enabling AI Agents to automate tasks and provide insights that drive engagement and efficiency.

Seamless Email Intelligence

The AI agent analyzes and extracts actionable insights from Gmail threads while automatically syncing with CRM records.

Predictive Pipeline Orchestration

Leverages historical data patterns to optimize sales workflows and automate lead qualification processes.

Strategic Insight Generation

Transforms raw CRM data into actionable business intelligence through pattern recognition and trend analysis.

Tools

Equip AI Agents with the NetHunt CRM Tools they need

Relevance AI integrates seamlessly with NetHunt CRM, enhancing your CRM workflows with intelligent automation.

NetHunt CRM - Find Record
Searches and retrieves CRM records based on specified search criteria and query parameters, with customizable result limits
NetHunt CRM - Create Comment
Adds text comments to existing CRM records, enabling communication and note-taking within record entries
NetHunt CRM - Get Record
Retrieves detailed information for a specific CRM record using folder and record identifiers
NetHunt CRM - Create Record
Creates new CRM records with custom fields and timezone settings in specified folders
NetHunt CRM - Update Record
Modifies existing CRM records with customizable field actions and overwrite options
NetHunt CRM - Add Gmail Thread to Record
Links Gmail conversation threads to CRM records, integrating email communications with customer data
Name
NetHunt CRM API Call
Description
Make an authorized request to a NetHunt CRM API
Parameters
["OAuth Account Authentication", "HTTP Method Selection (GET, POST, PUT, DELETE, PATCH)", "Custom Request Headers", "Request Body Configuration", "API Path Specification"]
Use Case
A sales team uses the NetHunt CRM API integration to automatically sync customer data between their e-commerce platform and CRM, ensuring real-time updates of customer interactions and purchase history. This eliminates manual data entry and maintains consistent customer records across systems.

Security & Reliability

The integration between NetHunt CRM and Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access your CRM data. Relevance AI manages API operations (such as finding, creating, updating records, and adding comments) seamlessly in the background, allowing you to focus on your core tasks without worrying about errors, formatting, or limits.

With built-in validation and type conversion, your workflows will operate smoothly, even when data formats differ. This integration empowers you to automate CRM record management, streamline comment handling, and leverage advanced search capabilities, all while maintaining a seamless connection with your Gmail threads.

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 NetHunt CRM + Relevance AI integration without writing code:
  • Start with a well-structured NetHunt CRM setup: Use clear folder names and consistent field formats to ensure smooth data management.
  • Utilize pre-built workflows: Relevance AI provides templates for automating record creation, updates, and comment management—perfect for quick implementation.
  • Connect with precision: Make sure to authorize the correct NetHunt CRM account and folder during the integration setup.
  • Test thoroughly before scaling: Execute automations on sample records first to identify potential issues before applying them to your entire dataset.
  • Monitor API usage: Be mindful of rate limits by spacing out requests and using batch operations to avoid throttling.