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◆ Journal of Information Technology in Construction2026-02-19· Transformative learning

Enhancing regulatory compliance in AEC industry via LLM-powered decision frameworks

Entesar Al Nama, Maqsood Mahmud, Huda Al Madhoob

原始摘要(英文原文)· Original 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.
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