• A closed-loop functional–mathematical model for controlling information exchange in corporate systems is proposed. • Adaptive verification, filtering, and coordination algorithms are developed for dynamic information environments. • The proposed model integrates monitoring and feedback mechanisms to improve information reliability and synchronization. • Simulation experiments confirm the stability and convergence of the closed-loop information exchange system. • The approach improves coordination efficiency and reduces information processing inconsistencies in corporate systems. Efficient information exchange is a critical factor in the stability and performance of modern corporate systems, particularly in environments characterized by distributed structures and heterogeneous data sources. This paper proposes a set of algorithms for controlling and coordinating information exchange processes within corporate systems, aimed at improving data consistency, transparency, and decision-making efficiency. The proposed approach is based on an integrated functional and mathematical model that combines monitoring mechanisms with adaptive coordination rules. Control algorithms are designed to detect deviations, delays, and inconsistencies in information flows, while coordination algorithms dynamically adjust interaction parameters between system components to ensure synchronized operation. Unlike traditional static control models, the proposed algorithms incorporate adaptive threshold mechanisms and feedback loops, enabling the system to respond flexibly to changing operational conditions. Simulation experiments conducted on a corporate information exchange model demonstrate that the proposed solution significantly reduces information processing delays and improves coordination accuracy compared to baseline approaches. The results confirm the practical applicability of the developed algorithms in corporate governance, financial management, and large-scale organizational information systems. The proposed methodology can be used as a basis for developing intelligent control modules in corporate digital transformation projects.
Madina et al. (Wed,) studied this question.