This study aimed to examine and identify the role of artificial intelligence (AI) in enhancing the performance of organizational knowledge management systems. A systematic qualitative review was conducted. Data were collected through an extensive search of reputable academic databases, including ScienceDirect, IEEE Xplore, Springer, and Google Scholar. To improve the accuracy and comprehensiveness of the literature retrieval process, the Boolean operators AND, OR, and NOT were used. These operators enabled the logical combination of keywords, the exclusion of irrelevant results, and the expansion of the search through synonyms, thereby ensuring a reliable and credible set of studies for final analysis. The study population comprised all published studies in Persian and English from 2015 to 2025 for international sources and from 1395 to 1403 for Persian sources. Sampling was purposive and conducted based on clearly defined inclusion and exclusion criteria, ultimately selecting 11 scientifically rigorous articles for analysis. Data were analyzed using qualitative content analysis, and the PRISMA framework was employed to ensure the validity and reliability of the review. The results revealed that AI plays multifaceted and effective roles in improving knowledge management systems. At the organizational level, four key themes were identified: enhancing knowledge creation and acquisition processes, optimizing knowledge storage and organization, facilitating and personalizing knowledge sharing, and increasing the effectiveness of knowledge utilization. The findings indicate that AI, by intelligent automation of knowledge processes, not only improves decision-making and information organization at the organizational level but also enhances data management, personalized learning, and intelligent recommendations at the individual level, thereby simultaneously strengthening both organizational and individual capabilities