AI Automation for Australian Mining Operations
From haul-fleet dispatch to drill-and-blast optimisation, AI automation eliminates the manual co-ordination burden that costs Australian mines millions each year in idle equipment and manual reporting hours. Keep personnel safer and ore grades higher without adding headcount.
Why Australian Mines Need AI Automation Now
Australian mining employs more than 270,000 people and contributes over $400 billion in export value annually. Yet the industry carries a large manual co-ordination overhead: shift supervisors spending hours on reports, fleet controllers juggling spreadsheets, and compliance teams transcribing data from disparate systems. AI automation addresses each of these precisely.
Fleet Productivity Leaks
Haul trucks are among the most capital-intensive assets on a mine site, with a single large-payload truck costing upwards of $5 million. When dispatch relies on radio calls and intuition, idle time at the crusher and queue bunching at the shovel can chew through 15-20% of available productive hours. AI dispatch uses real-time position, payload, cycle-time and shovel-productivity data to keep every truck moving on the optimal path at all times.
Reporting Consumes Supervisor Time
Mine site shift supervisors in Western Australia and Queensland routinely spend 60-90 minutes per shift on end-of-shift reports, pulling data from FMS, SCADA, maintenance systems and safety logs into a Word template. That is time away from the pit. AI automation ingests the same source systems, drafts the report, flags exceptions, and pushes it to the relevant stakeholders automatically.
Safety and Compliance Stakes Are High
DMIRS in WA and the Resources Safety and Health Queensland regulator require detailed incident investigation, near-miss reporting and control verification records. Manual processes miss events and introduce transcription errors. AI automation captures every safety event from wearable sensors, vehicle telematics and site cameras, ensuring the record is complete and defensible.
Automation Across the Mine Value Chain
Each capability connects to the systems mines already run: FMS platforms like Modular Mining, Wenco and Dispatch, SCADA historians, maintenance systems and safety management platforms.
Haul-Fleet Dispatch Optimisation
AI continuously assigns trucks to shovels and dumps based on real-time payload, cycle time, queue depth and crusher availability, replacing the reactive radio-based dispatch model with proactive, data-driven assignment.
- Real-time truck-to-shovel assignment based on current cycle times
- Crusher feed rate optimisation to prevent queue bunching
- Automatic rerouting around unplanned maintenance or road closures
- Shift summary of productive hours, idle time and load counts by asset
Drill-and-Blast Planning Support
AI analyses blast-hole assay data, bench geometry and historical fragmentation outcomes to recommend drill patterns and explosive loads that maximise ore recovery and minimise downstream crusher wear.
- Blast design recommendations from assay and geotechnical inputs
- Expected fragmentation size distribution for crusher planning
- Powder factor optimisation across ore and waste zones
- Pattern documentation generated automatically for approval workflow
Safety Event Capture and Reporting
Automated ingestion of safety events from vehicle telematics, wearable devices, site cameras and manual hazard reports, with AI-assisted investigation drafts and control-verification tracking.
- Near-miss and hazard event logging from multiple data sources
- AI-drafted investigation reports with causal-factor frameworks
- Control verification task assignment and follow-up tracking
- DMIRS and RSHQ compliant records with full audit trail
Predictive Maintenance for Heavy Equipment
Tyre, engine, hydraulic and structural health data from OEM telematics feeds AI models that flag degradation weeks before breakdown, aligning maintenance windows with planned downtime.
- Tyre health monitoring and rotation scheduling optimisation
- Engine and powertrain fault-code pattern analysis
- Component-life tracking against actual operating hours and conditions
- Parts pre-ordering triggered by condition-based thresholds
Grade Control and Ore-Waste Discrimination
AI models trained on drill-hole assay data, geological block models and XRF scan results guide ore-waste boundary decisions in real time, reducing ore sent to waste dumps and dilution of ore sent to the mill.
- Real-time ore-waste boundary guidance from blast-hole assay AI
- Integration with block model updates from the geology team
- Dig unit assignment recommendations aligned to grade targets
- Reconciliation reporting against mill feed grade actuals
Shift Reporting and Communications Automation
End-of-shift reports, production summaries and exception alerts are generated automatically from FMS, SCADA and maintenance system data, delivered to the right stakeholders without supervisor manual entry.
- Automatic shift report generation from real-time data sources
- Production versus plan variance with root-cause narrative
- Safety, maintenance and environmental exception flagging
- Scheduled delivery to management and regulatory contacts
How Mine Automation Deploys
Structured to respect the safety management of change requirements that govern mine site technology deployments.
Site Systems Assessment
We map your FMS, SCADA, maintenance platform, safety management system and reporting workflows to identify the highest-value automation targets and confirm integration feasibility.
Pilot on One Process
A single automation use case deploys first, typically haul-fleet dispatch or shift reporting, so the value is verified under real operating conditions before wider rollout.
Management of Change Sign-Off
Full MOC documentation, operator training and site management approval before each automation goes live, meeting the safety management requirements of WA and Queensland regulators.
Full-Site Deployment and Optimisation
Proven automations extend across the full operation with ongoing model tuning as the site geology, fleet composition and production targets evolve.
Built for the Australian Mining Environment
Mining automation requires integration with the specific platforms and regulatory frameworks that Australian operations run, not a generic enterprise solution retrofitted to a pit.
Connects to Your FMS and OEM Telematics
Mining automation only works if it speaks your systems. We connect to the platforms already deployed on Australian mine sites.
- Modular Mining DISPATCH, Wenco FMS and Komatsu FrontRunner integration
- Caterpillar MineStar fleet management data ingestion
- OEM engine and powertrain telematics via proprietary and standard APIs
- Site SCADA historians via OPC-UA and time-series database connectors
Meets Australian Regulatory Requirements
Australian mine automation must be designed around the safety, reporting and data-sovereignty obligations of each state.
- DMIRS Mines Safety and Inspection Act compliant incident records
- RSHQ coal and metalliferous mine reporting format support
- Data stored in Australian regions to meet Privacy Act obligations
- Audit-ready records exportable in formats accepted by regulators
Related Automation Solutions
AI Automation for Logistics
Automate port and rail logistics co-ordination for mine-to-port supply chains.
Explore logistics automation →AI Data Entry Automation
Eliminate manual transcription of lab results, drill logs and equipment records into your ERP.
See data entry automation →AI Workflow Automation Guide
Understand the building blocks of process automation before scoping a mine site project.
Read the guide →Frequently Asked Questions
Reduce the Administrative Load and Lift Fleet Productivity
Talk to our mining automation specialists about a scoped assessment of your site, covering the highest-value use cases for your specific fleet, systems and regulatory environment.