SOLUTIONS · SUSTAINABILITY & ENERGY
Improve energy and sustainability decisions in operational context.
XMPro helps teams monitor energy performance, understand operational drivers, identify improvement opportunities, and coordinate decisions that balance cost, production, reliability, and sustainability goals.
Energy and sustainability performance depends on operational context, not standalone metrics.
Production conditions, asset state, process constraints, operating modes, and business priorities all shape what good energy performance looks like. To act on it, teams need to answer five questions every shift.
Where is energy performance drifting?
Energy meters and emissions data alone don't show drift. They have to be read alongside production state and operating mode to know whether performance is actually slipping.
Which operating factors are driving it?
The same energy spike can come from load, ambient conditions, equipment degradation, or operator choice. Without the operating context, the cause is guesswork.
What action can improve performance?
Some adjustments save energy at the cost of throughput. Others save energy with no production hit. The right move depends on the current operating mode and priority.
What tradeoffs affect production or reliability?
Energy, throughput, quality, and reliability rarely move together. A cut in energy can quietly increase wear, slow production, or shift cost downstream.
What evidence supports reporting or review?
Energy and emissions reporting needs a defensible trail of what was decided, why, and what happened next. The evidence has to be captured at the time, not reconstructed after the fact.
Walk through these five questions on a real site with an XMPro engineer. We will show you where the energy answers live, what's missing, and where governed automation would help.
Talk to an Energy EngineerConnect energy signals to coordinated decisions in real operations.
XMPro connects energy data, process context, asset state, recommendations, workflows, and evidence so teams can coordinate sustainability and energy decisions in the context of real operations.
Move sustainability and energy from monitor to bounded autonomy.
Each stage adds approved authority. Monitor & Predict detects energy performance changes, emissions context, and operational drivers. Advise & Coordinate recommends operating changes and routes approvals. Operate Autonomously executes selected optimization workflows within policy-controlled boundaries.
Sustainability & energy patterns from the Solutions Library
A curated subset of energy and utility use cases live across the library today. Browse the full library for additional industry- and asset-specific patterns.
Energy Consumption Reduction
Continuous drive and motor monitoring with predictive efficiency interventions — energy as a managed line item.
Heat Exchanger Fouling Prediction
Forecast heat exchanger fouling from live U-coefficient trends — clean during planned outages, not unplanned ones.
Cooling Tower Fin Fan Monitoring
Per-fan cooling-tower monitoring tied to predictive maintenance, energy efficiency and environmental compliance.
Induced Draft Fan Monitoring
Continuous vibration, energy and airflow monitoring for ID fans with component-level predictive maintenance.
Boiler Feed Water Pump Monitoring
Vibration, flow, pressure, energy and water-quality fused into one boiler-feed-pump condition picture.
Roller Cooling Pipe Scaling Prediction
Predict scale build-up in cooling pipes from flow, pressure and chemistry data — clean before efficiency collapses.
The energy decision loop, end to end.
From the first signal of drift to the captured evidence, every step in the loop is governed, evidenced, and reviewable.
Pre-built agents that operationalise the energy decision loop.
A curated selection of MAGS-powered agents and assistants that align with the sustainability and energy maturity path. Browse the full marketplace for industry- and utility-specific patterns.
Agentic Energy Management Agent (Efficiency Expert)
Target Outcome
ENERGY COST REDUCTION
Measurable reduction
Proactive load management · peak demand penalty avoidance
Agentic Knowledge Synthesis & Decision Support Agent
Target Outcome
DECISION CYCLE TIME
Same-session
Synthesised multi-agent intelligence · OEE-aligned priorities
Agentic Production Rate Agent (Performance Optimizer)
Target Outcome
PRODUCTION THROUGHPUT
Measurable increase
Bottleneck resolution · reduced WIP variability and overtime
Agentic Simulation & Scenario Analysis Agent
Target Outcome
IMPLEMENTATION FAILURE RATE
Significant reduction
Pre-implementation simulation · high-confidence decision support
Agentic Anomaly Detection & Root Cause Analysis Agent
Target Outcome
ANOMALY DETECTION LEAD TIME
Hours—days early
Before production impact · automated causal reasoning
Agentic Predictive Analytics Specialist Agent
Target Outcome
UNPLANNED FAILURE RATE
Significant reduction
Days—weeks advance warning · risk-based intervention timing
Close the loop on a single energy or sustainability path.
Pick one priority site or process. Connect the energy signal. Govern the recommendation. Capture the evidence. Then expand to the next path.