Integrations

Supercharge Talent HR with Relevance AI

TalentHR is a comprehensive platform for managing employee data and HR operations programmatically. By integrating with Relevance AI, you can leverage AI Agents to automate tasks and gain deeper insights into your HR processes.

Give your AI Agents Talent HR Superpowers

TalentHR streamlines HR operations and employee data management, while Relevance AI empowers these processes with advanced AI Agents that can analyze and act on data in real-time.

Seamless Workforce Orchestration

The AI agent coordinates complex HR workflows across recruitment, onboarding, and employee management with precision and efficiency.

Predictive Talent Intelligence

Advanced analytics and pattern recognition enable the agent to forecast hiring needs and identify retention risks before they emerge.

Data-Driven Decision Acceleration

Rapid analysis of workforce metrics empowers leadership with actionable insights for strategic planning.

Tools

Equip AI Agents with the Talent HR Tools they need

Relevance AI seamlessly integrates with TalentHR to enhance your employee management workflows with intelligent insights and automation.

TalentHR - Update Employee
Updates existing employee records in the TalentHR system with comprehensive personal, professional, and administrative information including contact details, identification documents, emergency contacts, and social media profiles.
TalentHR - Create Employee
Creates new employee records in the TalentHR system with essential employment details including hire date, job information, compensation details, and onboarding preferences.
TalentHR - Respond to Time Off Request
Manages employee time-off requests by allowing authorized users to approve or reject pending requests within the TalentHR system.
Name
TalentHR API Call
Talent HR
Make an authorized request to a TalentHR API
Parameters
["OAuth Account Authorization", "HTTP Method Selection", "Custom Request Path", "Request Body Configuration", "Custom Headers Support"]
Use Case
An HR manager uses TalentHR API integration to automatically sync employee data between their HRIS and talent management platforms, eliminating manual data entry and ensuring consistent employee records across systems. The integration enables real-time updates of employee status changes, onboarding information, and performance metrics.
Quick Start

Connect Talent HR to Relevance AI in minutes

Security & Reliability

The TalentHR and Relevance AI integration utilizes a robust REST API interface to streamline employee data management and HR operations. This integration automates key processes such as employee lifecycle management and time-off request handling, ensuring efficiency and accuracy.

With secure OAuth authentication, only authorized workflows can access your TalentHR data. Relevance AI manages API operations (like creating, updating, and responding to time-off requests) seamlessly in the background, allowing you to focus on strategic HR initiatives without the hassle of manual data handling.

Built-in validation checks and error handling mechanisms ensure that your API interactions are reliable, even when dealing with varying data formats. This integration empowers HR teams to operate more effectively while maintaining data integrity and security.

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 TalentHR + Relevance AI integration without writing code:
  • Start with a well-structured employee database: Ensure clear field names and consistent data formats for employee records.
  • Utilize pre-built workflows: Relevance AI provides templates for automating employee management tasks, making it easy to get started.
  • Connect securely: Verify that you are using the correct OAuth credentials and API tokens during setup.
  • Test your API calls: Use test data to validate your API requests before implementing them in a live environment.
  • Monitor API usage: Implement rate limiting and batch processing to avoid hitting API request limits.