Modern quality challenges require effective and transparent solutions for risk management, tracking and control at all stages of production and operational cycles. The article is devoted to the study of innovative methods in quality management with an emphasis on the use of blockchain technologies and artificial intelligence (AI) as tools for process optimization. Blockchain is a technology with a unique structure that ensures transparency and security of data in real time, which significantly increases trust in quality management processes. Artificial intelligence, in turn, is used to analyze large volumes of data, predict potential problems in the quality system and automate decision-making processes. Successful examples of the application of these technologies in various industries, such as the financial sector, healthcare and manufacturing companies, are structured. The analysis of the key advantages and limitations of the implementation of blockchain and AI in quality management is carried out, taking into account current trends and future forecasts. The importance of integrating these technologies to increase efficiency, reduce costs and improve the quality of products and services at the global level is shown.