Enhancing regulatory compliance in AEC industry via LLM-powered decision frameworks
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.
Authors
- Entesar Al Nama
- Maqsood Mahmud (ORCID: https://orcid.org/0000-0002-8478-6930)
- Huda Al Madhoob
Institutions
- University of Bahrain (BH)
- University of Ulster (GB)
- University College of Bahrain (BH)
Publication Details
- Journal
- Journal of Information Technology in Construction
- Published
- 2026-02-19
- DOI
- https://doi.org/10.36680/j.itcon.2026.009
- Primary Topic
- BIM and Construction Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00