Asset Reliability
Improve visibility into equipment condition, maintenance history, recurring failures and reliability performance across critical fixed and mobile assets.
Metals & Mining
Metals and mining operations depend on the continuous movement of material, reliable performance of critical equipment and close coordination between field operations, maintenance, processing, safety and planning teams. Arix AI brings digital platforms, industrial data and connected workflows together to improve operational visibility, asset reliability and execution across complex operating environments.
Asset Reliability · Field Operations · Maintenance · Safety · Planning · IoT / OT
The Operating Environment
Mining and metals operations span large physical environments and highly interconnected processes — from extraction and material movement through crushing, processing, utilities and downstream production.
Heavy mobile equipment, crushers, conveyors, mills, pumps, electrical systems and processing assets must operate alongside field teams, contractors and control-room functions, often under demanding environmental and operational conditions.
Digital transformation creates greater value when these assets, people, workflows and operating systems are connected rather than managed as isolated information silos.
Industry Priorities
Improve visibility into equipment condition, maintenance history, recurring failures and reliability performance across critical fixed and mobile assets.
Digitise inspections, work execution, evidence capture and operational activities performed across geographically distributed sites.
Coordinate maintenance demand, workforce, resources, spares and execution priorities across plant and field assets.
Connect permits, risk assessments, isolations, approvals and field verification to the work being performed.
Connect plant equipment, sensors, control systems and operational technology with enterprise digital platforms.
Convert equipment, maintenance and operational information into useful dashboards, alerts and decision-support insights.
From Mine to Process
Arix AI capabilities can be applied across operating areas where equipment availability, material movement, maintenance execution and safety directly influence production continuity.
These are representative operating areas only. Not every mining or metals operation uses all of the equipment listed.
Reliability
Mining and metals operations depend on equipment that often operates under high loads, demanding duty cycles and challenging field conditions. Visibility into maintenance history, condition, failures and recurring equipment issues is therefore fundamental to improving reliability.
Arix AI enables organisations to build a structured digital operating environment around equipment, work execution and reliability information.
Organise plant, area, system and equipment information.
Schedule recurring inspections and maintenance activities.
Capture equipment failures, notifications, response and corrective work.
Plan, assign, execute, verify and close maintenance work.
Analyse failure patterns and indicators such as MTBF, MTTR and availability where supported by underlying data.
Connect field inspection and available condition information to maintenance decisions.
Field Execution
Mining environments involve significant operational activity away from offices and control rooms. Inspections, maintenance work, safety checks and equipment observations often happen across pits, plants, stockyards, workshops and remote operating areas.
Digital field workflows help bring structured information, evidence and execution visibility back into the operating system.
Structured equipment and operational inspection workflows.
Access assigned work and capture execution updates in the field.
Record photographs, observations and supporting information.
Capture equipment issues and route them into appropriate workflows.
Digitise structured operational and maintenance checks.
Support field operating scenarios where connectivity may be intermittent, where enabled by the applicable solution.
Planning & Scheduling
Maintenance organisations must continuously balance preventive work, breakdowns, equipment availability, workforce capacity, contractor resources, spares and production requirements.
A structured planning and scheduling environment helps convert maintenance demand into an executable plan while giving teams better visibility into constraints, priorities and progress.
Major Maintenance
Planned shutdowns and major maintenance events compress a large volume of work into limited operating windows. Effective execution requires coordination across tasks, labour, contractors, equipment, materials, safety controls and production dependencies.
Bring planned shutdown activities into a common execution view.
Identify sequencing and execution dependencies.
Coordinate labour, contractors and required resources.
Track planned and actual execution progress.
Surface issues that may affect critical work.
Monitor completion, pending activities and handover.
Safe Work Execution
Mining and metals operations frequently involve high-risk maintenance and operating activities across electrical systems, heavy equipment, confined spaces, work at height, lifting operations, hot work and energy isolation.
Digital permit-to-work and work-control processes help maintain structured approvals, risk controls, isolations and traceability around the work being executed.
Create, review, authorise, issue, suspend and close permits.
Support structured FLRA / JSA workflows where applicable.
Capture required isolation controls and verification.
Record site checks and evidence.
Maintain clear responsibility through workflow stages.
Retain traceable digital records of approvals and actions.
Connected Operations
Mining and processing facilities generate equipment and process information across sensors, PLCs, SCADA systems, historians, condition-monitoring systems and connected machines.
The operating value of this data increases when it can be connected with equipment context, maintenance activity and enterprise applications.
The Arix IoT / OT Integration Hub provides an integration layer between operational technology and digital business systems.
Equipment Intelligence
Equipment condition can be reflected across vibration, temperature, pressure, electrical measurements, operating parameters, inspections and other available data sources.
Where sufficient and reliable data exists, analytics and AI can help teams identify patterns, prioritise equipment attention and complement established maintenance practices.
Bring available condition measurements into equipment context.
Identify unusual or changing equipment behaviour where data quality supports analysis.
Use operating and condition information to support maintenance decisions.
Combine equipment history, failures and condition information for better investigation.
Applied AI
AI is most valuable when it is grounded in reliable operating information and a clearly defined operational problem.
Use work history and failure information to support reliability analysis and maintenance decisions.
Help users retrieve and interpret information across defined operational workflows.
Improve access to manuals, SOPs, maintenance records and technical documents.
Use available operational and enterprise information to support prioritisation and decision-making.
Connected Enterprise
Mining and metals organisations often operate a combination of enterprise applications, operational technology, equipment systems and specialised plant applications.
Arix AI is designed to integrate with the existing technology environment where required, creating connected workflows rather than another isolated information layer.
Arix AI Platforms
Arix AI platforms address different operating requirements across maintenance, planning, safety and industrial connectivity and can be deployed independently or integrated where the operating model requires it.
Maintenance, reliability and asset intelligence.
Digital work control for hazardous operating environments.
Maintenance planning and execution coordination.
Connectivity between equipment, operational technology and enterprise platforms.
Our Approach
Start with equipment, workflows, field realities, production dependencies and existing technology.
Bring maintenance, field execution, planning and safety into structured digital workflows.
Integrate equipment, OT and enterprise information where it creates operating value.
Use analytics and AI where they improve visibility, prioritisation or decision support.
The objective is not to digitise for its own sake. It is to create an operating environment where people, assets, workflows and information work together more effectively.
Operational Outcomes
Improve understanding of equipment history, condition and maintenance activity.
Create greater structure around planning, execution and work closure.
Bring inspections and remote execution into a common operational view.
Maintain clearer records around permits, controls and approvals.
Reduce fragmentation between plant, field and enterprise information.
Provide teams with more useful operating context when prioritising actions.
Operational Stakeholders
Discuss Your Requirement
Whether the requirement involves equipment reliability, maintenance planning, field execution, shutdowns, safety digitisation, IoT / OT connectivity or applied AI, we begin by understanding the operating problem and the systems around it.