Abstract
We are living in an era of rapid transformation in the technology sector, where success depends on shifting from traditional static strategies to dynamic models that emphasize strategic agility and real-time decision making as shown in Figure 1. Despite ongoing digital transformation, a critical gap remains in understanding how predictive Artificial Intelligence (AI) and electronic Human Resource Management (e-HRM) tools integrate into policy frameworks that future-proof organizations against disruption. This systematic literature review provides an evidence-based analysis of how digital AI and e-HRM platforms can be utilized to enhance strategic agility and real-time decision making in the technology industry. Through qualitative and thematic synthesis analysis of studies published between 2015 and 2025, the review finds that AI and e-HRM significantly strengthen strategic agility. However, challenges such as data privacy concerns, algorithmic bias, integration difficulties, and resistance to AI adoption may limit scalability and ethical use. While AI-driven tools offer strong potential for improving agility, addressing ethical, technical, and organizational challenges is crucial to fully realize their benefits. The findings highlight the need for policies supporting ethical AI practices, robust data governance, and workforce readiness to ensure effective integration of AI tools and strengthen organizational agility and real time decision-making.