Journal of Information Technology in Construction
ITcon Vol. 31, pg. 201-224, http://www.itcon.org/2026/9
Enhancing regulatory compliance in AEC industry via LLM-powered decision frameworks
| DOI: | 10.36680/j.itcon.2026.009 | |
| submitted: | September 2025 | |
| published: | February 2026 | |
| editor(s): | Kumar B | |
| authors: | Entesar Al Nama, PhD
University of Bahrain entesarjasim@gmail.com Maqsood Mahmud, Assistant Professor School of Computing, Faculty of Computing, Engineering and the Built Environment (CEBE), Ulster University, York Street, BT151AP, Belfast, United Kingdom m.mahmud@ulster.ac.uk Huda Al Madhoob, Dr. College of Engineering, University of Bahrain halmadhoob@uob.edu.bh | |
| summary: | The AEC industry is a highly intricate ecosystem involving architects, structural engineers, civil consultants, and contractors working under intense time pressures, where the success of projects hinges on sound decision-making. One of the most persistent challenges is regulatory compliance—not merely understanding the rules, but accurately interpreting and applying them within real-world constraints. This research paper aims to enhance regulatory decision-making through AI, specifically a Q&A model, and stands out in five key ways: it tackles the widespread issue of building code violations that cause costly delays; it empowers professionals to verify compliance during the design phase, minimizing errors and saving resources; it proves that effective AI doesn’t require massive datasets, instead leveraging domain expertise and smart data strategies; and it introduces a scalable framework that can extend to broader regulatory domains and integrate with BIM tools for automated checks, offering a transformative approach to compliance in the AEC sector. | |
| keywords: | Bahrain, AEC, LLM, ChatGPT, Gemini, compliance to building regulations, decision-making, stakeholders, AI, data expansion | |
| full text: | (PDF file, 0.948 MB) | |
| citation: | Al Nama, E., Mahmud, M., & Al Madhoob, H. (2026). Enhancing regulatory compliance in AEC industry via LLM-powered decision frameworks. Journal of Information Technology in Construction (ITcon), 31, 201-224. https://doi.org/10.36680/j.itcon.2026.009 | |
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