Mining & Resources Strategy

Autonomous Operations.
Zero Harm. Maximum Yield.

The mine of the future runs 24/7 without putting operators in harm's way. We help mining and resources companies deploy AI for predictive maintenance, autonomous haulage, and real-time safety intelligence.

The Mining Reality Check

Unplanned downtime on a single haul truck can cost $50,000 per day. Safety incidents are not just human tragedies—they halt entire operations. The industry is facing a skills crisis as experienced operators retire.

Unplanned Equipment Downtime

A single truck failure can cascade into millions in lost production.

Safety Compliance Risks

Remote sites make incident response challenging and dangerous.

Visibility Gaps

Operations managers can't see every corner of a vast pit or underground mine.

Fleet Uptime

ASSET ANALYTICS
Reactive Maintenance78% Uptime
Predictive Maintenance95% Uptime

"Autonomous haulage systems have achieved 15-20% lower operating costs while improving safety."

— Rio Tinto Case Study

Your AI Strategic Pillars

Build a safer, more productive mine with intelligent automation.

Predictive Maintenance

Sensor data from haul trucks, drills, and conveyors feed ML models that predict component failure weeks in advance, scheduling repairs during planned downtime.

  • Vibration Analysis
  • Oil Condition Monitoring
  • Tire Wear Prediction

Safety Intelligence

Computer vision monitors PPE compliance, proximity to active equipment, and detects potential hazards in real-time, alerting supervisors instantly.

  • PPE Detection
  • Proximity Alerts
  • Fatigue Monitoring

Autonomous Operations

From driverless haul trucks to autonomous drilling, remove humans from high-risk areas while maintaining 24/7 productivity with zero fatigue.

  • Autonomous Haulage
  • Auto-Drilling
  • Remote Operations Centre

The Implementation Roadmap

From sensor connectivity to the fully autonomous mine. A phased approach that prioritizes safety and ROI.

Phase 1: ConnectivityWeeks 1-4

Sensor Integration

Deploy IoT sensors across your fleet and fixed plant. Connect disparate systems to a unified data platform that serves as the foundation for all AI capabilities.

Phase 2: VisibilityWeeks 5-8

Operations Dashboard

Build a real-time 'digital twin' of your operation. See every asset, every crew member, and every potential hazard from a single control room.

Phase 3: IntelligenceWeeks 9-12

Predictive Models

Deploy machine learning models for equipment health, ore grade prediction, and safety risk scoring. Move from reactive to proactive operations.

Phase 4: AutonomyMonth 4+

Autonomous Systems

Pilot autonomous haulage in controlled zones, expand to full-site coverage. Integrate with drilling and loading for end-to-end autonomous extraction.

Case Study
Rio Tinto (Gudai-Darri Mine)

The Autonomous "Mine of the Future"

Safety and Consistency at Scale

Operating a world-class iron ore mine involves massive risks: moving 200-tonne haul trucks near humans, inconsistent operator driving styles causing wear on $5M+ tires, and difficulty recruiting skilled operators for remote fly-in-fly-out roles.

Integrated Autonomous Ecosystem

Rio Tinto implemented a site-wide Intelligent Network that coordinates a fleet of autonomous assets.

  • Autonomous Haulage Systems: A fleet of 20+ driverless Komatsu trucks use high-precision GPS, LiDAR, and Radar to navigate the mine 24/7
  • Autonomous Water Trucks: AI-driven trucks monitor dust levels on haul roads and deploy water only where needed, preserving scarce desert resources
  • Auto-Drilling: Drills use AI to analyze rock density in real-time, adjusting bit speed and pressure for perfectly placed blast holes
Zero Harm
Enhanced Safety Record
15%
Lower Operating Costs
1,000hrs
Extra Annual Utilization
24/7
Continuous Operation
Consultant's Insight

"Rio Tinto's success isn't just about robots; it's about Data Orchestration. The real power lies in the central Brain (Operations Centre in Perth, 1,500km away) that uses AI to see the entire mine as a single, living machine."

Key Takeaway

In the resources sector, AI is the ultimate tool for de-risking operations. Whether managing a small quarry or a global mining operation, sensor networks and autonomous workflows keep people safe and equipment running at peak performance.

Start with the 6 pillars

Explore the pillar lens for mining before you move into implementation.

The 6 pillars of AI adoption

Strategy & Leadership

Define vision, sponsorship, and measurable goals.

Use Case Clarity & Value

Prioritize high-ROI use cases with clear outcomes.

Data & Information Readiness

Ensure accessible, reliable data for AI.

Technology & Integration

Select the stack and integrate safely.

Skills & Ways of Working

Build the teams, roles, and operating model.

Risk, Governance & Trust

Manage compliance, ethics, and safety.

Ready to build the mine of the future?

Zero harm, maximum uptime. Let AI handle the dangerous work.

Contact Us