Intellectual Property India Publishes Patent Application for Generative Artificial Intelligence System For Automated Human Resource Operations

MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641071363 A) filed by Dr. Deepthi Amith; Dr. Chandni M C; Dr. Sameer Dileep Joshi; Dr. S. Sakthivel; Sanjay Kumar Pandey; M. Vasanthakavi; Malin Timungpi; Dr. Yogesh Maheswari; Dr. Manish Deo; and Dr. R. Shanthi on June 09, 2026, for Generative Artificial Intelligence System For Automated Human Resource Operations.

Inventors include Dr. Deepthi Amith; Dr. Chandni M C; Dr. Sameer Dileep Joshi; Dr. S. Sakthivel; Sanjay Kumar Pandey; M. Vasanthakavi; Malin Timungpi; Dr. Yogesh Maheswari; Dr. Manish Deo; and Dr. R. Shanthi.

The application for the patent was published on June 19, 2026, under issue no. 25/2026.

Abstract: A generative artificial intelligence system for automated human resource operations is disclosed. The system comprises a workforce data acquisition module configured to collect workforce-related information from enterprise systems, applicant tracking systems, payroll platforms, communication tools, learning management systems, and organizational repositories. A centralized workforce intelligence repository stores and organizes the collected data, while a generative artificial intelligence engine processes the data to generate human resource outputs including job descriptions, candidate assessments, recruitment communications, onboarding materials, employee engagement content, training recommendations, performance evaluations, and workforce analytics reports. A workflow orchestration module automates execution of human resource processes based on generated outputs and organizational policies. The system further includes a compliance and governance module for regulatory validation, bias detection, explainability, and audit management, and a continuous learning module that refines artificial intelligence models using workforce outcomes and feedback. The invention improves operational efficiency, decision support, employee experience, and workforce management across the employee lifecycle.

Disclaimer: Curated by HT Syndication.