From Application to Attrition: A Case-Based Analysis Of AI Interventions Across The Employee Lifecycle

Author(s)	Ms. Shriya Prasad Alwe, Dr. Vaishali Kulkarni
Country	India
Abstract	This research paper explores the transformative integration of Artificial Intelligence (AI) across the entire employee lifecycle from recruitment to retention through a strictly secondary research methodology focused on verified real-world cases. By analyzing Unilever’s use of neuro-scientific algorithms to digitize candidate selection, Schneider Electric’s deployment of an AI-driven "Internal Talent Marketplace" to enhance employee mobility, and IBM’s application of predictive analytics to forecast and prevent employee attrition, this study evaluates how data-driven interventions are reshaping Human Resource Management. The findings indicate that while AI significantly improves operational efficiency, minimizes human bias, and reduces turnover costs, its successful implementation requires a strategic shift from reactive administration to proactive, data-centric workforce planning.
Keywords	Artificial Intelligence in HR, Employee Lifecycle, Algorithmic Recruitment, Predictive Analytics, Internal Talent Mobility, HR Digitalization.
Field	Business Administration
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-26
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.64589

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