The article considers the development of strategic diagnostics of an enterprise in the condition of adaptation to a circular economy. In the context of global economic and environmental changes, strategic diagnostics is an important tool for assessing the effectiveness of the implemented changes and adapting to new challenges. The authors emphasize the importance of implementing the principles of a circular economy, which involve minimizing waste and reusing resources. It is obvious that in the process of adapting an enterprise to the conditions of a circular economy, strategic diagnostics plays an important role, which allows assessing the enterprise readiness to transition to a new economic model, determining its competitive advantages and developing effective development strategies. A set of strategic diagnostics tools with their adaptation to the conditions of a circular economy is systematized. It is substantiated that the proposed tools allow enterprises to effectively adapt to the conditions of a circular economy, reduce environmental impact, increase competitiveness, and find new opportunities for sustainable economic development. An algorithm for using strategic diagnostics of the enterprise in the context of adaptation to circular economy is developed. The presented algorithm allows enterprises to effectively adapt to the conditions of the circular economy, increase competitiveness, and ensure long-term business sustainability.

The article discusses the issues of development and analysis of diagnostic procedures for business processes during enterprise management. The digitalization has become a priority at the state level of every country, influencing the daily lives of citizens and the enterprises activity. As a result, the ability to gather, analyze, process, and use the data has taken center place to support effective decision-making and sustain competitive market positions. The article considers the factors influencing the choice of data processing tools, analyses the difficulties faced during the data processing methods implementation, and outlines the essential features of such systems for effective management of enterprise activity. The main attention was paid to the development of a data processing method during the state diagnosis of business processes in case of assessing their compliance. The method involves calculating the probability density function for the costs of restoring the normal functioning of business processes and statistical characteristics of the probability of correct decision-making. Additionally, the article includes numerical examples demonstrating the use of this method to the business processes of an aviation enterprise engaged in providing and performing technological procedures for the operation of aircraft. The proposed data processing model can be used to analyze the efficiency of enterprises’ business processes and make decisions on organizational structure optimization to minimize the costs spent by enterprise.