University College London and GIA Surveyors Limited KTP 24_25 R4

A medium-sized surveying and property consultancy is building a central digital brain that will pull together all its internal project data, client records, and external market information into one searchable, automated system. The problem is straightforward: GIA Surveyors, like many professional service firms, holds valuable knowledge scattered across emails, spreadsheets, and individual staff memories. When a surveyor leaves or a project ends, that knowledge often disappears. This project aims to create a permanent knowledge repository—a structured database that integrates internal datasets with external sources—and pair it with automated workflows and process mining tools. Process mining analyses digital event logs to reveal how work actually flows through the organisation, identifying bottlenecks and inefficiencies that staff may not notice. If successful, GIA will gain a lasting capability to find past project data instantly, automate routine administrative tasks, and spot opportunities to combine services across disciplines—for example, linking building surveys with environmental assessments. The immediate impact is internal: faster project delivery, fewer duplicated efforts, and stronger collaboration between teams. For clients, this could mean more accurate quotes, shorter turnaround times, and integrated advice rather than piecemeal reports. The project is applied commercial research with a clear practical goal—no fundamental science, but a systematic attempt to turn scattered expertise into a durable organisational asset.