Transformation of HR processes through immersive environments: the concept and application of the Immersive HRM module based on AI and behavioral analytics

the article is devoted to the design and application of the Immersive HRM module for recruiting, pre-boarding and adaptation based on AI-assisted and behavioral analytics. The relevance is justified by the growing demands for differentiation of the employer's brand, reduction of input costs and the transition of HR analytics to operational solutions. The novelty is related to the principle of "reverse onboarding", end-to-end telemetry within story missions, and the hybrid AI-support–human solution model. The work describes architecture, metrics, and legal verification procedures, examines mechanisms for transferring skills from the VR environment to workflows, and examines cases of scaling across industries. Special attention is paid to the link "engagement ? cognitive processing ? behavioral transfer" and the guided ethics of selection. The goal is to create a reproducible Immersive HRM operating model with criteria of efficiency and fairness. To achieve this goal, comparative analysis, narrative synthesis, process mapping and case generalization are applied. In conclusion, the proven effects for the selection and input cycle, scaling conditions, and risk regulators are described. The article will be useful for HR directors, training methodologists, product teams, and people-analytics specialists.

immersive environments, VR onboarding, recruiting, behavioral analytics, AI in HR, candidate experience, HR analytics, gamified assessment, explicable AI, algorithm fairness