SOLUTIONS · PROCESS OPTIMIZATION
Improve process performance with governed operational intelligence.
XMPro helps teams monitor process behavior, detect constraints and drift, recommend operating responses, and coordinate action across people, systems, and sites.
Process improvement breaks down when context and decisions are disconnected.
Production performance depends on live process data, operating envelopes, equipment state, product requirements, constraints, operator notes, and response timing. To act on all of that, teams need to answer five questions every shift.
Where is the process drifting?
Live process data should make drift visible before throughput slips, but only when it is read alongside operating envelopes, equipment state, and operator notes.
Which constraint matters most?
Constraints shift hour by hour. Knowing the binding constraint right now is what tells the team which action will actually move throughput.
What should change now?
Adjustments compete for operator attention. The right next move depends on current product, equipment state, and the downstream impact of changing the setpoint.
What are the tradeoffs?
Throughput, quality, energy, and downstream stability rarely move together. A change that helps one can quietly hurt another.
Who needs to approve or coordinate the action?
Some adjustments need an operator sign-off, some need a shift lead, some need cross-shift handoff. Routing is part of the decision, not an afterthought.
Walk through these five questions on a real process with an XMPro engineer. We will show you where the answers live, what's missing, and where governed automation would help.
Talk to a Process EngineerConnect process signals to coordinated decisions.
XMPro connects process data, asset context, recommendations, workflows, and MAGS-powered agents so teams can move from monitoring to guided optimization and controlled autonomous action where appropriate.
Move process optimization from monitor to bounded autonomy.
Each stage adds approved authority. Monitor & Predict detects drift, constraints, and expected impacts. Advise & Coordinate recommends responses and coordinates approval, handoff, and execution. Operate Autonomously executes selected optimization actions within policy-controlled boundaries.
Process optimization patterns from the Solutions Library
A curated subset of live process-optimization use cases. Browse the full library for industry- and process-specific patterns.
Air Quality Monitoring for Agriculture
Continuous air-quality telemetry tied to predictive analytics and automated compliance reporting across the farm.
Casting Guidance
Live casting telemetry, a digital twin and predictive quality guidance — process drift caught before it becomes scrap.
EV Battery Assembly Optimisation
Real-time monitoring, predictive quality scoring and parameter optimisation across every step of EV battery assembly.
Excavator Efficiency Optimisation
Idle, cycle, fuel and operator performance under one operational picture — with shift-actionable recommendations.
Golden Batch: Culture Addition
Real-time monitoring, AI quality prediction and ranked operator recommendations across culture addition in dairy processing.
Golden Batch: Milk Reception
AI-scored quality gate at milk reception with blending recommendations and full per-batch traceability.
The process optimization loop, end to end.
From the first signal of drift to the captured outcome, every step in the loop is governed, evidenced, and reviewable.
Pre-built agents that operationalise the process optimization loop.
A curated selection of MAGS-powered agents and assistants that align with the process optimization maturity path. Browse the full marketplace for industry- and process-specific patterns.
Agentic Production Rate Agent (Performance Optimizer)
Target Outcome
PRODUCTION THROUGHPUT
Measurable increase
Bottleneck resolution · reduced WIP variability and overtime
Agentic Anomaly Detection & Root Cause Analysis Agent
Target Outcome
ANOMALY DETECTION LEAD TIME
Hours—days early
Before production impact · automated causal reasoning
Agentic Simulation & Scenario Analysis Agent
Target Outcome
IMPLEMENTATION FAILURE RATE
Significant reduction
Pre-implementation simulation · high-confidence decision support
Agentic Equipment Monitoring Agent (Health Monitor)
Target Outcome
ANOMALY DETECTION LEAD TIME
70% earlier
vs threshold monitoring · 80% nuisance alarm reduction
Agentic Knowledge Synthesis & Decision Support Agent
Target Outcome
DECISION CYCLE TIME
Same-session
Synthesised multi-agent intelligence · OEE-aligned priorities
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 process optimization use case.
Pick one priority process. Surface the drift. Govern the recommendation. Capture the outcome. Then expand to the next process.