Abstract: Recent years have witnessed significant breakthroughs in artificial intelligence (AI). With its applications in science and technology (S&T) management decision-making continuously expanding, AI provides strong support for enhancing decision accuracy and scientific rigor. From the perspective of university S&T administration, and against the backdrop of rapid AI advancement, this study focuses on the pressing need for precision-oriented and intelligent transformation in university S&T management decision-making. It identifies key obstacles in current decision-making processes, including data silos, high-stakes decision scenarios, static resource allocation, and lack of traceability. By reviewing representative AI application models in S&T management decision-making both domestically and internationally, the paper extracts actionable lessons and systematically analyzes the technical advantages and operational mechanisms through which AI empowers S&T management decisions. Furthermore, it proposes a feasible pathway for achieving AI-enabled precision decision-making: establishing dedicated intelligent agents for five core S&T elements-talent teams, research platforms, project organization, scientific and technological outputs, and commercialization of results-and, on this basis, constructing a comprehensive decision-making agent that integrates these functions. This pathway offers a practical reference for improving S&T management decision-making in Chinese universities.