System of end-to-end internal control based on artificial intelligence in agrosphere organizations

Abstract

In the study, the author’s team considers the issues of developing and testing a system of end-to-end internal control in agricultural organizations using artificial intelligence (AI). In the dynamically changing market environment, such a system becomes a necessary stage for the successful development of agricultural organizations. It allows for effective risk management and adaptation to unpredictable external and internal factors characteristic of the agricultural sector. The proposed system of end-to-end internal control based on AI covers all aspects of the organization’s activities and ensures continuous control throughout the entire technological cycle. It helps to identify and eliminate issues related to product quality, safety and compliance with standards in a timely manner. The use of modern information technologies in the control activities of agrosphere organizations, proposed in the article, allows for a proactive launch of a mechanism for leveling risks associated with the human factor and continuously monitor the impact of factors of the external and internal business environment of an economic entity on the basis of operational information and analytical mechanisms.