Artificial intelligence and customised GPT models to optimise knowledge management and the professional tasks of building engineers
DOI:
https://doi.org/10.20868/ade.2026.5724Keywords:
artificial intelligence, GPT, automation, knowledge management, productivityAbstract
Advanced language models can transform information-intensive tasks in building engineering through customised professional-support systems. This paper describes the configuration of specialised GPT models for integrating regulations, internal procedures, specifications, price databases, quality control, quantity surveying, health and safety, and construction documentation. The process begins with selecting, cleaning and structuring sources, supplemented by contextual instructions defining the professional role, technical level and hierarchy of responses. Applications include drafting reports, minutes, technical specifications, preliminary schedules, control sheets and checklists; generating spreadsheets and economic comparisons; and automating notices, tender documentation, image-based reporting and workflows connected to planning tools. These models can reduce processing time, improve documentary consistency and facilitate the reuse of expert knowledge. However, they function as support tools and do not replace professional judgement or responsibility. Their progressive implementation can help modernise the sector through more structured knowledge management and the automation of high-value practical tasks.
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