Multi-agent systems represent a new direction in the development of artificial intelligence, which was formed on the basis of research results in the field of distributed computer systems, network technologies for solving problems, and parallel computing. The agent approach is already used in the distributed solution of complex tasks, enterprise reengineering, e-business, logistics, and uniform modeling. In this problem, two classes of problems can be classified: tasks of distributed management and tasks of planning the achievement of goals, in which agents jointly solve the set problems, and it is necessary to ensure an effective way of cooperation of their activities, and local tasks in which agents use common, as a rule, limited resources. The implementation of software agents in the information system will, to some extent, simplify the work of users, as the agents will be able to monitor the state of the system and offer certain solutions. An important problem in the development of the information system is obtaining the knowledge of specialists in a certain subject area. For the most part, this knowledge is not formalized and therefore inaccessible to other people. A successful solution to this problem is the addition of a general knowledge base to the created conceptual model and the development of agents that, based on this knowledge, will offer solutions to certain problems in an automated area that performs certain formalized user functions and provides support in solving organizational and technical management tasks. The article considers a method of decision-making support in the development of the subject area of multi-agent processes of transformation of information system resources, which differs from existing methods by using the information component of the description of the subject area based on the analysis of information flows to build a conceptual model of the information system, which allows you to significantly speed up and simplify the development of software complexes.