Artificial Intelligence in Business Operations: Functional Application and Managerial Transformation
Abstract
This paper examines the transformative role of artificial intelligence (AI) in modern business operations, analyzing its functional applications and consequent managerial implications. Through a theoretical and documentary analysis, the study demonstrates that AI technologies—such as robotic process automation, predictive analytics, and natural language processing—fundamentally optimize decision-making and enhance operational efficiency. Furthermore, the research argues that AI's influence extends beyond technological adoption, driving a managerial revolution that redefines leadership roles, necessitates data-driven strategic planning, and transforms human resource practices. The research further contextualizes these global trends within the specific emerging market landscape of Georgia, identifying a unique combination of adoption challenges and leapfrogging potential. While case-based evidence from the literature indicates significant performance and cultural shifts, the findings suggest that successful AI implementation requires a holistic realignment of strategy, skill development, and ethical governance. The study concludes that AI is not merely a tool but a transformative force demanding new leadership models for sustainable success in the digital era. Keywords: Artificial Intelligence, Business Operations, Digital Transformation, Managerial Innovation, Process Automation, Decision-Making, Organizational Change, Leadership Adaptability, AI Ethics, Georgia
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