Under the conditions of computerization, human activity in the sphere of management acquires new features: there is an increasing need to be based on the so-called activity approach, based on the design of human activity in the control loop similar to the design of technical subsystems, except that it should take into account the creative mastery of control tasks. Creating a well-organized process on the basis of automated technologies, not allowing a waste of time and increasing labor productivity when performing real work, is the main direction of artificial intelligence. Among the control tasks to be solved, preparation and analysis are of the greatest interest, where an intelligent approach to the presented task is possible by extracting and calculating the necessary information. Currently, experts face many challenges associated with the creation of the most complete set of methods for solving organizational problems by automated control systems, allowing to give not fragmentary, but complete information. It is necessary to find a compromise between the traditional practice of programming artificial intelligence tasks and methods of work, allowing to create algorithms, which would provide the efficient work of a large number of processors. In this case, the time spent on information preparation of management decisions will be reduced by about 60%, and the resulting solution will be more rational. Further research in the field of intellectualization of automated systems will allow to simplify complex models and designs and to develop universal methods of their solution.
