The invention provides an AI-based professional scheme auxiliary decision-making expert system construction method, which is used for solving the technical problems of low efficiency, high cost, long expert cultivation period and the like in a current professional scheme compiling mode. The method comprises the steps of database construction, data structure establishment, knowledge graph construction, intelligent template matching, scheme conformity judgment, docking knowledge base retrieval and the like. An operator inputs keywords, and a system can automatically compile a professional scheme which is high in pertinence and meets the requirements of normative standard files. Meanwhile, the professional scheme can be intelligently audited and evaluated, and intelligent compilation, audit and evaluation of the professional scheme are achieved by fully utilizing the advantages of big data and artificial intelligence. Meanwhile, the problem that a professional scheme is long in compilation and auditing period, high in cost and the like is solved, evaluation standards are unified, the labor cost is remarkably reduced, the working efficiency is improved, and a professional knowledge base formed in the system can lay a foundation for knowledge economy and provide support for building enterprise competitiveness.