Balancing Onboarding Efficiency with Human-Centered Engagement: A Comparative Analysis of Traditional and AI-Enabled Approaches

Sharna L. Lee ()
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Sharna L. Lee: University of the Incarnate Word, School of Professional Studies, San Antonio, Texas

RAIS Conference Proceedings 2022-2025 from Research Association for Interdisciplinary Studies

Abstract: Traditional Onboarding is essential for employee engagement, fostering personal connections, mentorship, and cultural integration. This process enables organizations to build trust and a sense of belonging, although it often comes at the expense of administrative efficiency and consistency. In contrast, artificial intelligence (AI)-enabled onboarding tools can deliver a standardized experience that can scale across an organization. As AI continues to transform workplaces, organizations are recognizing the need to upgrade their HR practices to survive in the competitive landscape (Nawaz et al., 2024). However, overreliance on AI-driven onboarding tools may erode the interpersonal dimensions of onboarding. This paper presents a comparative analysis of the Traditional Onboarding process in contrast to an AI-Enabled Onboarding process, examining the tradeoffs between technological efficiency and human-centered engagement. By examining the intersection of AI-driven tools and traditional practices, the study identifies strategies for integrating automation while maintaining the interpersonal elements essential for effective onboarding. The analysis contributes guidance for HR leaders aiming to balance innovation with relational integrity to enhance employee engagement and retention.

Keywords: Onboarding; Artificial Intelligence (AI); Enterprise Resource Planning Systems (ERP); Human Resource Management; Automation ERP Systems; Algorithmic Bias (search for similar items in EconPapers)
Pages: 7 pages
Date: 2025-11
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Published in Proceedings of the 42nd International RAIS Conference on Social Sciences and Humanities, November 20-21, 2025, pages 19-27

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