SUSTAINABILITY & ENERGY · PERFORMANCE IN CONTEXT
Improve energy and sustainability decisions in operational context.
Monitor energy performance, understand operational drivers, recommend response, and coordinate decisions that balance cost, production, reliability and sustainability goals — under governance you control.
Energy and sustainability performance depend on operational reality.
Energy and emissions outcomes are driven by production conditions, asset state, process constraints, operating modes and business priorities. Targets set in isolation collide with the operational tradeoffs that actually run the plant.
Consumption, intensity, utility usage and emissions-related indicators fire across historians, EMS and sustainability tools — rarely correlated to the production state that's driving them.
Energy improvements touch production, reliability, cost and quality. The right response depends on a tradeoff view that sustainability dashboards alone don't carry.
Performance drifts. Emissions reports lag the operational reality. Sustainability decisions stall because the operating consequence isn't visible in the workflow.
Connect energy performance to operational decisions.
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 — not in a separate dashboard that operators never see.
- 01
Detect energy drift
Live consumption, intensity and emissions-context signals — surfaced against targets, baselines and production state.
- 02
Identify operational driver
Map the drift to the production mode, asset condition or process constraint that's actually driving it.
- 03
Evaluate tradeoff
Compare candidate responses against production, cost and reliability tradeoffs — the operating reality, not a sustainability silo.
- 04
Recommend response
Surface the prioritised operating change with the rationale operators and sustainability leaders both need.
- 05
Coordinate approval & action
Route the right approvals, log the handoff and trigger the change — with the chain of evidence preserved.
- 06
Record evidence & outcome
Capture what was decided, what changed, what the impact looked like — in the format reporting and review will ask for.
From monitoring to autonomous operation — at your pace.
Customers progress along three operating phases as confidence, evidence and governance allow. Same canvas, same connectors, same governance — just more of the energy decision loop carried by the platform over time.
PHASE 1
Monitor & Predict
Detect drift early.
Detect energy performance changes, emissions-related context and operational drivers — surfaced against targets, baselines and production state.
PHASE 2
Advise & Coordinate
Recommend, route, record.
Recommend operating changes and coordinate approvals or action across operators, sustainability leaders and process engineers — with the tradeoff visible in the workflow.
PHASE 3
Operate Autonomously
Act within policy boundaries.
Execute selected optimisation workflows within approved governance boundaries when confidence is high and policy allows — humans on the loop, not in it.
What sustainability and energy decisions look like in production.
Six use cases customers run on the platform today — spanning energy intensity, utility usage, production-energy tradeoffs, emissions-related operating context, reporting evidence and site performance comparisons.
Agent templates built for sustainability and energy decisions.
Four agent patterns that codify the decision work sustainability, energy and operations teams do together — ready to deploy from the AI Agent Library, customise to your operation, and govern under your control modes.
Energy Performance Assistant
Surfaces live energy intensity, utility usage and consumption drift against production state — in the operating workflow.
AI ASSISTANTSustainability Evidence Assistant
Assembles the emissions-related operating context, evidence and operating-state record reporting and review need.
AI ADVISOROptimization Advisor
Recommends operating changes that move energy and emissions in the right direction — with the tradeoff against production and reliability surfaced.
AI ADVISOROperating Tradeoff Advisor
Compares candidate responses against production, cost, reliability and sustainability goals — so the decision balances all four, not one.
Browse all Expert AI Agents Browse the Solutions LibraryTrusted by industrial operators.
Where to go next.
Sustainability & Energy sits inside the wider Agentic Operations Platform. Continue exploring the surrounding architecture.
Make sustainability decisions in operational context.
Bring energy signals, process context, tradeoffs, evidence and Expert AI Agents onto one canvas — under governance you control.
