Year: 2026
Type: article
Abstract: 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.
Institutions: University of Bahrain, University of Ulster
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7130508248
