SmartQS Prompt: a new built-up rate generator

The construction industry relies heavily on accurate and efficient cost estimation, with Quantity Surveyors (QS) playing a central role in generating reliable built-up rates (BUR). However, traditional rate-building methods remain time-consuming, prone to error, and lack integration with evolving digital tools. Thus, this research aims to introduce SmartQS Prompt, a novel AI-powered BUR generator designed to enhance the speed, consistency, and accuracy of rate compilation. A fully quantitative research methodology was adopted, comprising three sequential survey-based phases. Phase 1 preliminary conducted among Quantity Surveying’s Students to identify prevailing challenges in traditional BUR preparation. Phase 2 involved the design and development of the SmartQS Prompt prototype using generative AI and natural language processing frameworks, incorporating standard cost databases and parametric inputs. Phase 3 involved a usability testing tool, where participants interacted with the SmartQS Prompt system and provided structured feedback through a Likert-scale-based survey. Finally, phase 4 expert validation reviews the SmartQS Prompt effectiveness by comparing user performance metrics, namely, accuracy, time efficiency, and satisfaction before and after using the system. The research signifies a paradigm shift towards semi-automated cost planning, supporting the digital transformation agenda within the built environment professions. SmartQS Prompt offers a scalable solution adaptable to varying project typologies, paving the way for further integration of intelligent systems in quantity surveying practice.