SOLUTIONS · ASSET PERFORMANCE
Close the gap between asset insight and maintenance execution.
XMPro helps maintenance, reliability, and operations teams turn asset signals into prioritized interventions, coordinated work, and continuous reliability improvement before equipment issues become production loss.
Predictive insight does not automatically change maintenance execution.
Industrial teams have spent years building analytics that explain or predict. The next step — turning those insights into decisions and actions that improve safety, reliability, quality, throughput, and cost — is still hard.
Alerts don't fit the plan.
CBM and PdM findings generate alerts, notifications, and recommendations that don't align cleanly with the maintenance planning and scheduling process.
Routine work eats the calendar.
Routine PM continues to consume capacity. Condition-based work becomes delayed or treated as break-in work.
Better detection, same execution.
Teams pay for better detection, but the execution system still prioritizes the old routines it was built around.
Scarce experts still carry too much of the decision load.
Asset performance still depends on a small number of reliability engineers and veteran technicians who interpret signals, diagnose failure modes, prioritize response, and translate recommendations into work instructions.
Decisions slow down.
When the SME isn't free, the call waits. Recommendations sit unread until someone with the context can interpret them.
Recommendations pile up.
Alerts and PdM findings accumulate faster than the experts can triage them, so the queue keeps growing.
Teams revert to routines.
Under pressure, crews default to the familiar PM calendar instead of the condition-based work that would prevent the failure.
XMPro helps capture that expertise inside repeatable decision workflows and MAGS-powered agents, so asset insight can move into action more consistently.
Connect asset context to prioritized action.
XMPro connects live asset data, maintenance history, failure context, production impact, parts availability, recommendations, workflows, and MAGS-powered agents so teams can move from reactive alarms to guided, coordinated asset performance decisions. The goal is not only earlier detection. The goal is a better decision loop.
Move asset performance from monitor to bounded autonomy.
Each stage adds approved authority. Monitor & Predict surfaces risk early. Advise & Coordinate recommends action, prioritizes maintenance, and reconciles condition-based insight with planned work. Operate Autonomously triggers selected workflows within approved policy boundaries when confidence and governance are ready.
Asset performance patterns from the Solutions Library
A curated subset of live asset-performance use cases. Browse the full library for industry- and asset-specific patterns.
Conveyor Belt Monitoring & Optimisation
Real-time monitoring, predicted failure modes and energy-efficient operation across every conveyor on the line.
Aging Pipe Predictive Maintenance
Rank the network by failure risk and consequence — turn aging-pipe replacement into a defensible capital plan.
Mainline Conveyor Condition Monitoring
Section-by-section monitoring of mainline conveyors with predicted failure modes ranked by service criticality.
Surface Processing Plant Condition Monitoring
Plant-wide condition monitoring with predicted failure, synchronised maintenance and a digital twin tying it together.
Bogie Health Monitoring
Live wheel-wear, axle-load and bearing-temperature signals tied to predicted bogie failure modes across the fleet.
Boiler Feed Water Pump Monitoring
Vibration, flow, pressure, energy and water-quality fused into one boiler-feed-pump condition picture.
Pre-built agents that operationalise the asset performance loop.
A curated selection of MAGS-powered agents and assistants that align with the asset performance maturity path. Browse the full marketplace for industry- and asset-specific patterns.
Agentic Equipment Monitoring Agent (Health Monitor)
Target Outcome
ANOMALY DETECTION LEAD TIME
70% earlier
vs threshold monitoring · 80% nuisance alarm reduction
Agentic Anomaly Detection & Root Cause Analysis Agent
Target Outcome
ANOMALY DETECTION LEAD TIME
Hours—days early
Before production impact · automated causal reasoning
Agentic Maintenance Coordinator Agent (Predictive Maintenance Reliability Strategist)
Target Outcome
UNPLANNED DOWNTIME
Significant reduction
Emergency repairs cost 2—3x planned · condition-based prevention
Agentic Maintenance Schedule Planning Agent (Schedule Optimizer)
Target Outcome
OVERTIME COSTS
Significant reduction
Optimised scheduling · improved equipment availability
Agentic Predictive Analytics Specialist Agent
Target Outcome
UNPLANNED FAILURE RATE
Significant reduction
Days—weeks advance warning · risk-based intervention timing
Agentic Equipment Performance Agent (Availability Specialist)
Target Outcome
UNPLANNED DOWNTIME
Measurable reduction
Proactive condition-based interventions · extended asset life
Transforming Asset Management through Advanced Predictive Maintenance.
A 30-page whitepaper covering the operating model, decision architecture, and execution patterns behind advanced predictive maintenance at industrial scale.
Close the gap on a single asset performance use case.
Pick one priority decision path. Connect the data. Govern the agent. Capture the evidence. Improve the strategy. Then expand.