As iron ore deposits become deeper, lower grade, and more geologically complex, rapid and accurate orebody characterisation is essential. Borehole geophysical logs—such as density, porosity, gamma ray, resistivity, televiewers (borehole images), magnetic susceptibility, sonic velocity, nuclear magnetic resonance and spectroscopy—are routinely used to construct and refine 3D mine models. However, conventional data acquisition and processing often take days or weeks, limiting their use in production, where rapid decisions and automated workflows are required. To fully exploit geophysical data for mine productivity, two advances are critical: (1) developing a geophysics-based 3D mine model that is continuously refined as new data are acquired, and (2) integrating ‘drilltime’ data acquisition to enable near-real-time model updates. The workflow begins with an initial model built from exploration logs, refined as laboratory and geological data become available, and continually updated throughout production. Semi-autonomous calibration of geophysical relationships ensures that the model remains accurate even as the mine expands into new geological domains. Recent developments in robotic logging platforms now make near-real-time geophysical integration feasible. These systems can automatically navigate between holes, acquire multiple geophysical measurements, process data, and upload results directly to the mine database to update the 3D model within minutes of drilling. The novelty of this approach is that a robotic logging platform removes the risk of personnel on the ground in the blast pattern – something which has limited the applicability of blasthole geophysical logging in the past due to safety concerns. Now it is possible to safely and efficiently collect a wide variety of geophysical logs in the pit. Real-time geophysical logging shortens the discovery-to-recovery timeline by providing continuously updated, high-resolution orebody information. The combination of automated data collection and dynamic 3D modelling enhances mine safety, precision, and productivity, enabling data-driven, optimised resource recovery throughout the mine life cycle. This paper is presented as a technology introduction of ‘drilltime’ Orebody definition. Field trials of the systems described are underway in late 2025 to mid 2026 in the Pilbara and limited examples are presented at this time, with further publications expected in late 2026 once full scale (1000+ hole) trials are completed.