The aviation industry is rapidly adopting digital transformation in operational safety and reporting processes. This transformation is critical for flight safety, time management, and cost optimization. This section examines the integration of AI-based solutions into report classification and safety monitoring processes in flight operations. Specifically, the “AI Co-Validator” project developed by the Lufthansa Group is used as a case study, and its technical infrastructure, operational gains, and strategic impacts are discussed in detail. AI not only manages large datasets but also enables contextual analysis of events, pattern detection, and risk prediction. The system can process multilingual reports and contributes to decision support systems with its automatic classification and confidence score generation capabilities. AI Co-Validator reduces the inefficiencies of manual reporting processes, saves labor and time, increases operational consistency, and helps create corporate memory. In addition, ethical, transparency, and regulatory dimensions are addressed; explainable AI (XAI) approaches, algorithmic bias risks, and legal compliance are emphasized. In the Turkish context, the domestic aviation infrastructure and the regulations of the General Directorate of Civil Aviation (SHGM) provide a suitable environment for the applicability of AI-based reporting and analysis systems. Aviation companies and other domestic initiatives operating in Turkey are creating opportunities for integrating AI solutions into operational processes and developing domestic systems. In this context, AI-supported systems stand out not only as a technical innovation but also as a strategic tool that strengthens proactive decision-making, efficiency, and organizational learning processes in flight safety.