See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

SOLUTIONS LIBRARY

Industrial use cases, ready to scope.

Pre-engineered for the operational problems industrial enterprises actually face — asset reliability, process drift, quality, throughput, safety and supply continuity. Each use case starts from a live operational signal and ends in governed action.

Pick the operational problem that matches your site. We’ll help you scope a solution. Some are operationalised by MAGS agent teams — cross-linked to the AI Agent Marketplace where applicable.

EXPLORE

60 use cases. Filter by industry, category or solution type.

Each use case names the operational problem, the signals the platform watches, and the governed action it drives. Where a MAGS agent team operationalises a use case, you’ll see a cross-link to the AI Agent Marketplace inside.

61 use cases
CONDITION MONITORING

Conveyor Belt Monitoring & Optimisation

Real-time monitoring, predicted failure modes and energy-efficient operation across every conveyor on the line.

Targeted outcome30-50%Reduction in unplanned downtime
PREDICTIVE MAINTENANCE

Aging Pipe Predictive Maintenance

Rank the network by failure risk and consequence — turn aging-pipe replacement into a defensible capital plan.

Targeted outcome30-50%Fewer unplanned pipe failures
CONDITION MONITORING

Mainline Conveyor Condition Monitoring

Section-by-section monitoring of mainline conveyors with predicted failure modes ranked by service criticality.

Targeted outcome30-50%Reduction in unplanned downtime
PROCESS & PRODUCTION MONITORING

Alarm Management & Triage

Rank level 3 and 4 alarms by leading-indicator value so reliability engineers see signal, not noise.

CONDITION MONITORING

Air Quality Monitoring for Agriculture

Continuous air-quality telemetry tied to predictive analytics and automated compliance reporting across the farm.

CONDITION MONITORING

Surface Processing Plant Condition Monitoring

Plant-wide condition monitoring with predicted failure, synchronised maintenance and a digital twin tying it together.

CONDITION MONITORING

Bogie Health Monitoring

Live wheel-wear, axle-load and bearing-temperature signals tied to predicted bogie failure modes across the fleet.

CONDITION MONITORING

Boiler Feed Water Pump Monitoring

Vibration, flow, pressure, energy and water-quality fused into one boiler-feed-pump condition picture.

PRODUCTION OPTIMISATION

Casting Guidance

Live casting telemetry, a digital twin and predictive quality guidance — process drift caught before it becomes scrap.

ASSET UTILISATION

CHPP Throughput Loss Monitoring

Decompose CHPP throughput loss into specific equipment, process and feed-quality causes — with ranked recovery actions.

CONDITION MONITORING

Compressor Condition Monitoring

Zone-based compressor monitoring with predicted failure modes routed directly into work-request creation.

CONDITION MONITORING

Hydraulic System Condition Monitoring

Zone-based hydraulic system monitoring with predicted failure modes routed directly into work-request creation.

CONDITION MONITORING

Condition Monitoring

Bad actors first, hybrid engineering + ML models, asset-class templates — condition monitoring run as a programme.

CONDITION MONITORING

Cooling Tower Fin Fan Monitoring

Per-fan cooling-tower monitoring tied to predictive maintenance, energy efficiency and environmental compliance.

CONDITION MONITORING

Cyclone & Slurry Pump Condition Monitoring

Real-time condition monitoring for cyclones and slurry pumps across processing plants and utility networks.

DEMAND PLANNING

Demand Planning & Stockholding Reduction

Demand-forecasting and inventory optimisation across the store estate — less dead stock, fewer revenue-losing stockouts.

CONDITION MONITORINGSOON

Demin Water Monitoring for Boiler Tube Corrosion

Continuous demin-water chemistry monitoring that surfaces boiler-tube corrosion risk before it forces an outage.

PREDICTIVE MAINTENANCE

Derailment Prevention via Track Geometry

Real-time track-geometry monitoring with predicted deviations ranked by derailment risk.

PREDICTIVE QUALITY

EV Battery Assembly Optimisation

Real-time monitoring, predictive quality scoring and parameter optimisation across every step of EV battery assembly.

ASSET UTILISATION OPTIMISATION

Excavator Efficiency Optimisation

Idle, cycle, fuel and operator performance under one operational picture — with shift-actionable recommendations.

OPERATIONS CONTROL TOWER

Flood Prediction & Response

Predictive flood modelling fused with live asset telemetry — coordinated response across the water-utility estate.

GOLDEN BATCH

Golden Batch: Culture Addition

Real-time monitoring, AI quality prediction and ranked operator recommendations across culture addition in dairy processing.

GOLDEN BATCH

Golden Batch: Milk Reception

AI-scored quality gate at milk reception with blending recommendations and full per-batch traceability.

GOLDEN BATCH

Golden Batch Monitoring

Live comparison of every batch against the golden-batch profile, with feed-rate and parameter recommendations.

PRODUCTION-PROVEN

Not a concept. In production.

XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.

VERIFIED RESULT — OIL & GAS
$16M Saved every year
18% Reduction in field service trips
95% Reduction in maintenance planning

Customer Case Study

Using XMPro, a global oil and gas supermajor rapidly composed and deployed an intelligent oil well maintenance solution in just three months -- achieving over $8 million in calculated value within the first six months.

VERIFIED RESULT — MINING
$10M Saved every year
30% Reduction in conveyor downtime
9,000t Saved every month

Customer Case Study

Using XMPro, the world's largest potash mining company rapidly composed and deployed a predictive maintenance solution for over 50 miles of underground conveyors in just 30 days, achieving $10 million in savings every year by reducing unplanned downtime by over 30%.

VERIFIED RESULT — ENTERPRISE SCALE
6 Sites with in-house adoption
1,000+ Assets monitored
35+ Operational, tactical and strategic use cases

Customer Case Study

XMPro enabled the in-house engineering team at a major North American miner to independently compose 35 operational, tactical and strategic solutions across six sites, scaling to monitor and manage over 1,000 diverse critical assets.

"XMPro successfully triggered a real predictive maintenance alert for a Haul Truck that appears to have a Strut issue - This was particularly impressive, considering we have only deployed the development environment a few weeks ago"

-- Advanced Predictive Maintenance Lead, major global mining company

AUTONOMOUS OPERATIONS

Now pushing the frontier.

MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.

0+
Days Autonomous
Safety-critical petrochemical operations
3-0+
Agents Per Team
Specialized agents coordinating per use case
0+
Teams Deployable
Scale across sites and business units
0%
Governed
Every agent, every decision, every action — auditable

DON’T SEE YOURS?

Let’s scope something custom.

New use cases land here every quarter. Tell us what you’re trying to solve — we’ll either point you at a fit or scope a new one.