University of Qom Journal of Data Analytics and Intelligent Decision-making 3115-8161 2 3 2026 07 01 Artificial Intelligence as a Catalyst for Strengthening the Strategic Value of Quality Management 122 141 4828 10.22091/jdaid.2026.15903.1049 EN Mostafa Tamtaji Assist. Prof., Dept. of Strategic Management, Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran. 0000-0002-5825-6258 Alireza Ekrami Kivaj Ph.D., Dept. of Aerospace Engineering, Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran 0000-0003-4805-5046 Sayed Gholam Hassan Tabatabaei Assistant Professor of the Faculty of Electrical and Computer Engineering, Malek-e-Ashtar University of Technology, Tehran, Iran Journal Article 2026 05 08 This study proposes a comprehensive vision for integrating Artificial Intelligence (AI) into quality management practices, emphasizing its strategic contributions to organizational performance, process reliability, and continuous improvement. To evaluate this impact, we conducted a systematic review of recent literature combined with a simulation-based evaluation. This research specifically explores how AI technologies enhance critical quality functions, such as automated inspection, predictive auditing, and real-time performance monitoring.Our results, supported by regression and correlation analyses, indicate a significant positive association between AI implementation and key performance indicators, specifically in defect reduction, process optimization, and adherence to quality standards. However, the effective adoption of AI also presents notable hurdles. Challenges regarding data quality and integrity, algorithmic transparency, and the need for greater organizational readiness remain critical considerations. Addressing these factors is essential for ensuring reliable and responsible implementation. Ultimately, this study introduces a strategic framework designed to assist organizations in adopting AI-driven solutions. This approach allows businesses to harness the power of intelligent systems while maintaining ethical principles, ensuring that their quality management practices remain sustainable and effective in an increasingly digital environment. https://jdaid.qom.ac.ir/article_4828_da95390d2a25b387cb37d874f2b4d734.pdf