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How AI Tools Are Replacing HR in Employee Onboarding Processes
Subject area: Management and Commerce · Area of research: Artificial Intelligence
Abstract
In recent years, Artificial Intelligence (AI) has started playing a major role in different business functions, including Human Resource Management. One of the HR areas where AI is creating noticeable change is the employee onboarding process. Earlier, onboarding was mainly handled by HR professionals who had to manage many activities such as document verification, employee orientation, answering questions, and coordinating training sessions. These tasks required a lot of manual work and time. Today, many organizations are using AI-based tools like chatbots, automated documentation systems, and digital learning platforms to support or automate parts of the onboarding process. These technologies help organizations handle onboarding activities more efficiently and provide faster support to new employees. The purpose of this study is to examine how AI tools are influencing employee onboarding processes and how they support or partially replace traditional HR tasks. The research also explores the benefits and challenges of using AI in onboarding and its impact on employee experience and organizational efficiency. The findings suggest that AI tools help reduce administrative workload, improve operational efficiency, and enhance the onboarding experience for employees. However, some limitations were also identified, including reduced human interaction, concerns related to data privacy, and increased dependence on technological systems.
References
[1] Brougham, D., & Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms in the workplace: Implications for organizations and employees. International Journal of Management Reviews.
[2] Davenport, T., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review.
[3] Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015). The influence of technology on the future of human resource management. Human Resource Management Review.
[4] Upadhyay, A., & Khandelwal, K. (2018). Applying artificial intelligence: Implications for recruitment and HR practices. Strategic HR Review.
How to cite this paper
@article{1715037,
author = {Ritika Singh, Dr. Samarth Pande},
title = {How AI Tools Are Replacing HR in Employee Onboarding Processes},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {2853-2857},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715037.pdf},
abstract = {In recent years, Artificial Intelligence (AI) has started playing a major role in different business functions, including Human Resource Management. One of the HR areas where AI is creating noticeable change is the employee onboarding process. Earlier, onboarding was mainly handled by HR professionals who had to manage many activities such as document verification, employee orientation, answering questions, and coordinating training sessions. These tasks required a lot of manual work and time. Today, many organizations are using AI-based tools like chatbots, automated documentation systems, and digital learning platforms to support or automate parts of the onboarding process. These technologies help organizations handle onboarding activities more efficiently and provide faster support to new employees. The purpose of this study is to examine how AI tools are influencing employee onboarding processes and how they support or partially replace traditional HR tasks. The research also explores the benefits and challenges of using AI in onboarding and its impact on employee experience and organizational efficiency. The findings suggest that AI tools help reduce administrative workload, improve operational efficiency, and enhance the onboarding experience for employees. However, some limitations were also identified, including reduced human interaction, concerns related to data privacy, and increased dependence on technological systems.},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715037}
}