Convergence monitoring in underground mining is critical for enhancing safety, operational efficiency, and ground stability management. LiDAR-based monitoring, particularly using SLAM (Simultaneous Localization and Mapping) technology, offers real-time, high-resolution data to track rock mass deformation and identify stability risks. Traditional methods, such as extensometers and total stations, are limited by coverage, accuracy, and data density. The integration of Emesent’s Hovermap SLAM hardware and their Aura Convergence Monitoring processing module enables rapid, repeatable convergence monitoring over large mine areas, improving early detection of convergence zones, facilitating timely intervention. This paper presents the implementation of these technologies at the MMG’s geotechnically challenging Rosebery mine in Tasmania, detailing the innovative alignment and processing workflows in Aura that reduce user subjectivity and optimise data processing. It outlines the TARP established to incorporate the new technology while attempting to align with processes already implemented on-site. Challenges with adopting the technology and software are discussed providing the readers with a firsthand account of the advantages and disadvantages of the workflow.