Explainable AI for Requirement Traceability in Construction Systems Engineering

Abstract: Requirement verification in integrated contract models, such as Design & Construct, remains a manual, document-centric, and error-prone activity. While technical verification through Automated Code Compliance has advanced significantly, process requirements are typically verified through human inspection of textual documentation. This research addresses this gap by developing a novel artefact architecture that integrates general-purpose Large Language Models, the RASE mark-up language, and Knowledge Graphs to automate traceability between contractual obligations and contractor deliverables. Tested through iterative Design Science Research, the final prototype achieved a precision of 1.000 and accuracy of 0.968, offering a transparent, “white-box” framework for contractual auditability.