AI Automation for Australian Mining Operations

Yes, and this is the preferred approach. FMS platforms like Modular Mining DISPATCH and Wenco already capture the real-time fleet data that AI models need. We integrate with the existing FMS via API or data feed, run the optimisation layer on top, and feed recommended assignments back into the dispatcher interface. Operators continue using the FMS they know, with AI providing smarter assignment suggestions rather than replacing the system. This approach avoids the disruption and cost of a full FMS replacement while delivering measurable productivity improvements.

A focused implementation covering one area such as shift reporting automation or safety event capture typically deploys in 4-8 weeks, including the management of change documentation and operator training required for Australian mine sites. Broader deployments covering fleet dispatch, grade control and maintenance prediction run 12-20 weeks depending on the number of integrated systems and the site management of change approval process. We phase implementations to deliver early operational value while the broader automation matures.

Yes. For underground operations, the focus shifts from haul-fleet dispatch to ventilation-on-demand optimisation, loader productivity, and shift reporting from LHD and truck telematics. We work with the specific tracking and telemetry platforms used underground, including Strata Worldwide and PBE Littelfuse systems, as well as OEM loaders from Sandvik, Epiroc and Caterpillar. Safety automation is especially valuable underground given the confined environment and the importance of complete records for statutory reporting.

AI grade control works alongside geologists rather than replacing their judgement. The model ingests blast-hole assay data, updates from the geological block model, and historical reconciliation data, then generates ore-waste boundary recommendations that geologists review and approve before they are acted on. The AI accelerates the pattern recognition and documentation work; the geological team retains sign-off authority on ore classification decisions. Most geology teams find they can handle more benches simultaneously because the AI is doing the data-processing heavy lifting.

Most automation runs on site infrastructure rather than requiring constant cloud connectivity, which is important for remote Pilbara, Goldfields and Queensland operations with variable satellite or microwave links. The AI models and data processing can run on edge hardware on site, with synchronisation to cloud systems during connectivity windows for reporting, model updates and remote monitoring. We assess your site connectivity during the initial assessment and design the architecture accordingly.

Every automation that could affect mine safety requires a formal management of change process before going live. We prepare the MOC documentation, including hazard identification, control verification and training records, in the format required by your site safety management system. Operator training is conducted on site before each automation activates. We have experience with the MOC requirements under the WA Mines Safety and Inspection Regulations and Queensland Mining and Quarrying Safety and Health Act, and work with your site safety team from the outset.