Recession and expansion are names for changing states in the economy and it can be observed at the microeconomic and macroeconomic levels. A recession or a state of crisis is marked by a decline in production, income and employment of workers, and therefore it is of great importance to know how to recognize the early stages of a crisis and to remedy the possible consequences of its spread. The emergence of artificial intelligence significantly marked increased growth and progress in various business processes, including in the economy. The purpose of the paper is to emphasize the benefits arising from the application of novelties in the field of artificial intelligence, at the same time emphasizing the importance of ensuring the security of companies in the context of defense against the impact of crisis situations. The aim is to point out novelties in the application of artificial intelligence and to investigate the benefit of implementing and using such a way of doing business in the early recovery of a potential crisis on the example of a company. Using a descriptive method, the typology of business crises and types of machine learning are explained, as well as the purpose and benefits of certain codes and libraries that are used today. In addition, artificial intelligence was considered using a comparative method, i.e. confronting the positive and negative sides as a certain substitute for the current crisis management that deals with remediation and control of crisis situations. The analytical method considered the ethical aspects of the use of artificial intelligence with an emphasis on data privacy, the regulatory framework and the need for responsible technology management. Through a literature review and analysis of a case study of a company using interviews, the paper provides insight into the possibilities, challenges and perspectives of applying artificial intelligence in the early stages of crisis detection. Using the inductive method, a conclusion about the potential of ways to identify and control the crisis through the application of artificial intelligence in the company and possible possibilities of its improvement was reached.The expected contribution relates to the connection of computer and economic science and the profession through the mentioned approach, with the aim of providing a presentation of directions for the further development of artificial intelligence and improving reactions to potential financial challenges and business improvement.