Artificial Intelligence in Human Capital Management: A Comprehensive Framework for Intelligent Workforce Systems
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I4P116Keywords:
Artificial Intelligence, Human Capital Management, Intelligent Agents, HR Analytics, Workforce Automation, Enterprise AI, Employee Experience, Machine LearningAbstract
Human Capital Management (HCM) systems have historically evolved from administrative record-keeping platforms into enterprise decision systems. By 2023, advances in artificial intelligence (AI), machine learning, and conversational computing enabled a paradigm shift toward intelligent workforce ecosystems capable of autonomous decision support, predictive workforce planning, and adaptive employee experiences. This manuscript proposes a comprehensive framework for integrating AI into HCM environments through intelligent agents, data-centric architectures, and enterprise automation models. Unlike traditional HR automation, AI-enabled HCM systems operate as cognitive platforms capable of continuous learning from organizational behavior patterns. The study analyzes contemporary enterprise implementations, market trends, system architectures, algorithmic approaches, governance considerations, and deployment strategies relevant to 2023 technology maturity levels. A reference architecture for AI-native HCM platforms is introduced, followed by implementation models addressing employee lifecycle management, managerial decision augmentation, workforce analytics, and organizational intelligence. The work contributes a unified perspective bridging HR domain knowledge with artificial intelligence engineering practices, enabling scalable, ethical, and enterprise-ready intelligent workforce management systems.
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