This article explores the development and enhancement of investment monitoring systems within the framework of digital transformation. As the global economy becomes increasingly data-driven, the necessity for real-time, transparent, and automated monitoring of investment activities has become paramount. The study analyzes current investment monitoring practices and highlights the limitations of traditional systems. It emphasizes the significance of integrating advanced digital technologies such as artificial intelligence, blockchain, and big data analytics to improve the efficiency, accuracy, and security of investment oversight. Furthermore, the paper proposes a modern model of an investment monitoring system designed to operate effectively in a digital ecosystem, enabling better decision-making, risk assessment, and resource allocation. The suggested model is aimed at strengthening investor confidence, reducing bureaucratic barriers, and promoting sustainable economic development.