Managing the behavior of economic agents at enterprises with artificial intelligence tools

The article examines the methods of managing the behavior of economic agents at enterprises with artificial intelligence tools, which allowed to obtain data on the capabilities of modern information systems (artificial intelligence), on the basis of which the behavior of economic agents is analyzed and adjusted according to the set goals of an enterprise. The conducted analysis showed that there are many artificial intelligence tools on the software market (software, mobile applications, websites, chatbots, etc.) that work on the basis of methods of managing the behavior of economic agents, the capabilities of which allow an enterprise to arrange the working process much more efficiently. Therefore, after analyzing modern artificial intelligence tools for managing the behavior of economic agents, the possibilities, advantages and disadvantages of artificial intelligence tools were revealed, including: the impossibility of integrating them into existing personnel management systems at enterprises, the lack of a sufficient technical base for the introduction of tools into the personnel management process, and the feasibility of using tools in general. A general methodical scheme for managing the behavior of economic agents at the enterprise has been formed, which is distinguished by the presence of an iterative procedure of differentiated influence on the factors and properties of the behavior of determining agents, with a mechanism for assessing the degree of influence of regulatory influences on the basis of feedback, i.e. such management decisions are formed that economically beneficial to an enterprise and do not violate the rights and interests of economic agents themselves. Investigated methods of managing the behavior of economic agents at enterprises using artificial intelligence tools allowed to obtain data on the capabilities of modern information systems, on the basis of which it is possible to analyze the behavior of economic agents and adjust it according to the set goals of the enterprise. It is outlined that a promising direction of research is the study of issues of interaction between subjects and objects of economic relations, and it is proposed to build an own system for managing the behavior of economic agents at enterprises using artificial intelligence, which would include all the necessary tools for effective interaction with economic agents on the enterprise.