Breaking Departmental Silos in Construction Using AI Automation, Chatbots, and Smart Alerts: A Systematic Review

Jalal Akram Nasr

Abstract: This study discusses how Artificial Intelligence (AI) technologies can be used to curb the existence of departmental silos within construction organizations. The aim is to determine the effectiveness of AI automation, chatbots, and smart alert systems in enhancing communication, coordination, and project performance. Peer-reviewed studies published since 2013 in significant databases were used to conduct a systematic literature review. The results indicate that AI automation is beneficial in terms of scheduling and resource allocation, chatbots can be used to improve real-time communication between teams, and smart alert systems can be used to proactively manage risks by timely notifying users. A combination of these technologies enhances the information flow and decision-making in various departments. Nonetheless, resistance to change, issues of data security, and high initial cost are still major obstacles. Despite these weaknesses, the data indicate that the use of AI results in enhanced collaboration, decreased delays, and enhanced project outcomes. The paper identifies a gap in the future combination of AI and other technologies, including Building Information Modeling and Internet of Things, to enhance cross-departmental collaboration in construction projects.

Keywords: Artificial Intelligence in Construction, Digital Transformation, Project Coordination, Construction Industry 4.0, AI Automation, Smart Alert Systems, Cross-Departmental Collaboration

How to Cite?: Jalal Akram Nasr, "Breaking Departmental Silos in Construction Using AI Automation, Chatbots, and Smart Alerts: A Systematic Review", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1407-1413, https://www.ijsr.net/getabstract.php?paperid=SR26420113243, DOI: https://dx.dx.doi.org/10.21275/SR26420113243

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