AI in construction is being positioned as a tool to optimise site processes by feeding supervisors real-time data on plant utilisation, programme clashes and safety-critical behaviours rather than removing operatives from projects. Systems combining computer vision with existing CCTV and 4D BIM models can flag exclusion-zone breaches, near-miss patterns and schedule deviations, giving planners and site engineers earlier warnings than traditional inspections. For geotechnical and civil teams, this means more data-driven decisions on sequencing earthworks, crane locations and temporary works, while still relying on human judgement for risk acceptance and design changes.

GBM Konect is now the core field data and asset management platform for Banyule City Council in Melbourne’s north-east, supporting service delivery across more than 20 suburbs and a population above 130,000. The cloud-based, location-aware system lets crews capture condition data, photos and GPS coordinates in real time for roads, paths, drainage and open space assets, replacing paper workflows. Engineers gain a single geospatial view of assets and maintenance history, improving defect prioritisation, scheduling and compliance reporting without bespoke in-house GIS development.

Proximity to Slopes, a new calculator in the Association of Lorry Loader Manufacturers & Importers (ALLMI) app, now quantifies safe stabiliser leg positions for loader cranes working beside embankments. Users input mat width, horizontal distance from the crane base to the crest, and slope height; the tool then defines a “danger area” where stabilisers must not be placed to avoid loss of stability. For temporary works and lift planners, this offers a quick, standardised check when siting cranes on or near cuttings, bunds and roadside batters.