Integrations

Supercharge Recruit CRM with Relevance AI

Recruit CRM is a comprehensive recruitment management tool designed for agencies to efficiently handle candidate workflows, meeting scheduling, and task management. With Relevance AI, you can elevate your recruitment strategies by leveraging AI Agents to automate and enhance your processes.

Give your AI Agents Recruit CRM Superpowers

Recruit CRM streamlines recruitment processes with powerful candidate tracking and management features. Relevance AI amplifies these capabilities by introducing intelligent AI Agents that automate tasks and optimize scheduling.

Intelligent Workflow Orchestration

The AI agent streamlines complex recruitment processes by automatically managing and optimizing candidate pipelines across multiple stages.

Predictive Talent Matching

Leverages advanced algorithms to precisely match candidates with job requirements, considering both technical skills and cultural alignment.

Real-time Analytics Synthesis

Continuously analyzes recruitment data to provide actionable insights and optimize placement strategies for better outcomes.

Tools

Equip AI Agents with the Recruit CRM Tools they need

Relevance AI seamlessly integrates with Recruit CRM to enhance your candidate management workflows.

Recruit CRM - Create Candidate
Creates a new candidate profile in Recruit CRM with personal information including name, contact details, gender, and specialization. Enables recruitment agencies to efficiently add new candidates to their database.
Recruit CRM - Create Meeting
Schedules and manages meetings in Recruit CRM with detailed specifications for timing, attendees, and related entities. Supports video calls and includes customizable reminder settings.
Recruit CRM - Create Task
Creates and assigns tasks within Recruit CRM with scheduling capabilities and entity associations. Allows for task management with customizable reminders and relationship mapping to various recruitment entities.
Name
Recruit CRM API Call
Description
Make an authorized request to a Recruit CRM API
Parameters
["OAuth Account Authentication", "HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Configuration", "API Path Customization"]
Use Case
A recruiting agency uses this integration to automatically sync candidate data between their applicant tracking system and Recruit CRM, enabling real-time updates when new candidates are added or existing profiles are modified. This eliminates manual data entry and ensures consistent candidate information across platforms.

Security & Reliability

The Recruit CRM integration with Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access your recruitment data. Relevance AI manages API operations (such as creating candidates, scheduling meetings, and assigning tasks) in the background, allowing you to focus on your recruitment processes without worrying about errors, formatting, or rate limits.

With built-in validation and standardized API responses, this integration guarantees that your workflows operate seamlessly, even when dealing with varying data formats. You can automate candidate management, streamline meeting scheduling, and enhance task management efficiently.

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 Recruit CRM + Relevance AI integration without writing code:
  • Start with a clean candidate database: Use clear field names and consistent data formats for candidates, meetings, and tasks.
  • Utilize pre-built workflows: Relevance AI provides templates for automating candidate creation, meeting scheduling, and task management—perfect for quick setup.
  • Connect securely: Ensure you approve the correct Recruit CRM account and OAuth credentials during the integration setup.
  • Test before scaling: Execute API calls with test data first to identify potential issues before applying changes to live data.
  • Monitor API usage: Implement rate limiting strategies and use exponential backoff to manage API calls effectively.