Recent cases of building collapse in Kenya during construction have raised serious concerns

regarding structural integrity, supervision failures, and lapses in quality control during planning and implementation stages. As infrastructure development accelerates, the role of engineering

surveyors become increasingly critical in ensuring positional accuracy, deformation monitoring,

grading compliance, and structural alignment. Simultaneously, Artificial Intelligence (AI)

technologies are transforming geospatial data processing, predictive analytics, and construction

monitoring systems (Nistor, 2024). This paper examines how AI-driven technologies can be strategically integrated into engineering surveying practice to reduce structural failures and improve resilience in Kenya’s built environment.

Drawing from practical experience in road construction projects involving grading works, structural setting out, RTK GNSS, total stations, and levelling operations, the study links professional responsibility with emerging intelligent systems such as predictive deformation modelling, automated quality control analytics, UAV-based monitoring, and BIM-integrated verification workflows.

The paper argues that professional resilience in the AI era requires surveyors to transition from traditional data collectors to spatial intelligence specialists capable of validating automated outputs and strengthening structural compliance systems.

It concludes with policy recommendations for practitioners, regulatory bodies, and the Institution of Surveyors of Kenya to promote AI-enabled safeguards that can mitigate negligence and enhance structural stability across construction projects.