The digital transformation of safety management (SMS) and quality management (QMS) processes in the aviation sector has increased the importance of intelligent systems that provide data-driven decision support. This study examines the AI-supported modules of SAFEJETS MS, a safety and compliance management tool developed in Turkey. In this context, SAFEJETS MS software integrates audit, root cause analysis, risk management, and change management modules with artificial intelligence, providing a decision support infrastructure for managers and auditors. The system consists of four main AI modules: (1) a corrective/preventive action (CAPA) recommendation engine for auditors, (2) a support tool that performs root cause analysis using the Fishbone model, (3) a Bowtie risk analysis module, and (4) a change analysis module that identifies potential risks in change management processes. The study qualitatively evaluates the effects of these modules on operational efficiency, reduction of human error, and strengthening of safety culture. The SAFEJETS MS example has become a model of digital transformation in aviation by offering a governance model that is consistent with EASA and ICAO's principles of explainability and human-centricity regarding artificial intelligence.