Title: On an Integrated Automated Approach to Enterprise Quality Management
Abstract: This article deals with quality, which serves as one of the main strategic mechanisms in business. Of great importance in the enterprise quality management systems is effectiveness assessment, where it is necessary to consider specifics of qualitative criteria, multilevel nature of the developed system and the choice of the required value of the productivity index and system state monitoring, it is associated with obtaining rational solutions for the management in quality assurance systems. The purpose and relevance of the study is related to the need: 1) to address important research and issues on quality management in the digital economy, according to developed State Programs of the Republic of Kazakhstan; 2) ensuring the competitiveness of medium and small businesses that have strict requirements for the quality of goods and services; 3) Increase the performance of automated quality assurance systems; 4) saving resources (manpower and time) when processing data. The article presents the methodology and model of the system of automated quality assurance of the enterprise, integrated with the control subsystems MICS (Management Information and Control System), which allow for the automation of implementation and maintenance of QMS processes, as well as increase the validity, efficiency and effectiveness of decisions by automating a number of functions performed by those directly responsible for management decisions and employees. This project was supported by a grant from the Ministry of Education and Science of the Republic of Kazakhstan (Zhas Galym project No. AR 13268939 Research and development of digital technology to provide consistency in the media of normative documents of the quality management system).
Keywords: automated management system;quality management;performance evaluation
Review score: Moderate
Review comment: The aim of the paper is to increase the efficiency of the control quality of management systems. 
It is an interesting project, and relatively new, the use of AI is not a novelty in optimization processes, but good implemented. In this case, the authors proposal the development of a Implementing Models and Algorithms for Digital Transformation of Documentation Support for Quality Management System to detect Contradictions and Inconsistencies in Documentation Support of Quality Management System (QMS) of Kazakhstan Economy.  The results presented in the article describe this as a novelty and are valid in the context of the presented project.
As a result of reviewing the article I recommend the article for publication with minor (technical) corrections «Accepted with minor revision».

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