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The construction industry faces challenges related to cost control, compliance with deadlines, productivity, waste, and the proper use of available resources on construction sites. In this context, Lean Construction presents principles and tools aimed at reducing non-value-adding activities, improving workflow, and promoting continuous improvement. At the same time, Artificial Intelligence (AI) has been increasingly used as a technological resource capable of analyzing data, identifying patterns, assisting in problem prediction, and supporting decision-making. This study aimed to analyze how the use of Artificial Intelligence associated with Lean Construction principles and tools can contribute to the improvement of processes on construction sites. The research was developed through a qualitative and exploratory approach, based on a bibliographic review of studies related to Lean Production, Lean Construction, Artificial Intelligence, process management, and waste reduction. Concepts and tools such as Just in Time, Kanban, Jidoka, Takt Time, Kaizen, PDCA, 5S, Five Whys, and Cause-and-Effect Diagram were addressed. The analysis indicates that the integration of AI and Lean Construction can assist in identifying waste, monitoring productivity, controlling materials, detecting failures, predicting possible delays, and improving the planning and control of construction activities. It is concluded that Artificial Intelligence can act as a complementary tool to Lean Construction principles, contributing to more efficient and data-driven management while maintaining the importance of the participation and experience of professionals involved in the construction process.
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Cavalcanti et al. (2026) studied this question.
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