Since supervision enterprises have expanded into emerging business areas, the shortcomings of conventional supervision approaches have become very apparent.Since the problem has become increasingly evident, the necessity for intelligent supervision methods has been clearly accelerated. Hence it is natural to consider the AI-supported intelligent supervision project management platform developed by Shanghai HeLiu. Since Engineering Supervision Co., Ltd. is taken as a concrete example, the paper carries out a systematic, thorough analysis of the actual needs.The development priorities of supervision enterprises with regard to intelligent matters.The paper begins by giving a clear, systematic summary of the fundamental characteristics of supervision project data, which are complexity, variability, and real-time nature. Because there are definite requirements and high standards for decision-making.Because of its characteristics, it is natural and necessary to use a modular design framework when constructing customized AI-based supervision systems.From the practical application results it can be quite naturally and clearly seen that the platform realizes.Since it has full-process supervision management coverage, it also makes use of AI. Using appropriate technologies for thorough data analysis, one can arrive at data-driven conclusions.Since the decision support discussed actually improves the operational efficiency and service level of the enterprise, it is natural and logical to conclude that AI-powered integrated supervision platforms are capable of improving the core functions, therefore. To develop the competitiveness and sustainable development capabilities of supervision enterprises, thereby laying a proper foundation for the future optimization.Because of the systems and the fact that they are used so widely in the industry.