Bridging the Gap between Design Concept and Construction using Artificial Intelligence Systems

The aim of the article is to identify theoretical and practical aspects of bridging the gap between design concept and construction by integrating artificial intelligence systems. Research methods are based on a combination of several scientific approaches that allow for an effective assessment of the potential for integrating artificial intelligence systems into the design and construction process. The im- portance of forming an integrated approach to design is proven, which involves a preliminary analysis of the relationship between design, architectural, engineering, economic and environmental components. The role of artificial intelligence as an intelligent navigator capable of assessing constructive feasibility, predicting financial costs and ensuring compliance with regulatory requirements at all stages of the project is substantiated. It is established that the fragmentation of coordination between participants in the architectural-construction process and the inconsistency of actions cause significant delays, overspending of resources and a decrease in the quality of the final result. The principles of complex integration and dynamic planning are described, which become the basis for effective interaction between specialists in different areas. The feasibility of transparent budgeting aimed at optimal use of funds and avoiding duplication of work is proven. Special attention is paid to methods of risk analysis and modelling of alternative scenarios, which allows you to quickly respond to external challenges and ensure flexibility of the architectural-construction process. It is established that automated performance control increases the accuracy of meeting deadlines and quality indicators, minimizing the gap between the initial design concept and actual construction. It is substantiated that the use of artificial intelligence contributes not only to the operational coordination of teams, but also to better exchange of information with investors and regulatory authorities, which increases transparency and trust in the construction industry as a whole. The scientific novelty of the article lies in the comprehensive approach to bridging the gap between design concepts and construction through the integration of artificial intelligence systems, which allows optimizing the design and implementation processes of construction projects. For the first time, the paper proposes a model for the use of artificial intelligence to ensure integrated management, enabling the synchronization of conceptual, technical, and economic aspects at all stages of construction. Conclusions. Thus, the article proves that the implementation of innovative solutions based on artificial intelligence systems is an effective tool for improving management decisions and sustainable development of the architectural and construction sector. Using neural networks as a basis for effective integration of the design concept with the real construction process provides an opportunity to reduce risks, reduce costs and improve the quality of constructed objects.