Abstract
The productivity of the construction industry has declined in recent decades compared to the manufacturing industry, which doubled its productivity over the same period.
 The advantages of automation in the manufacturing industry may be the reason for high labor productivity. Moreover, automation has recorded a steady reduction in labor costs and an increase in labor productivity, as well as reducing routine tasks and manual labor.
 These huge advantages have led to the emergence of research into the application of automation of construction processes. In parallel with this, there is a need to automate processes that are vital to ensure the rapid creation of high-quality housing infrastructure.
 As part of the implementation of state programs for the transition to the digital economy, including in the construction industry, the tasks of implementing information modeling technology at all stages of the building life cycle are becoming urgent. Given the large amounts of data and high requirements for the accuracy of information models, the processes of automating the processing of source data and the formation of a shared data environment come to the fore.
 The main purpose of the study is to analyze the existing business process of processing expert comments to form its map and modeling the process based on it using CDE.
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