PROCESS OPTIMIZATION · DRIFT TO ACTION
Improve process performance with governed operational intelligence.
Monitor process behaviour, detect constraints and drift, recommend operating responses, and coordinate action across people, systems and sites — under governance you control.
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. The signals exist — what's missing is the loop that turns them into coordinated decisions before the constraint becomes a loss.
Drift, deviation and constraint indicators fire across historians, MES, operator logs and SPC tools — rarely in one view, and rarely linked to the operating envelope.
Operators, process engineers, planners and supervisors hold the context. Recommendations stall while approvals, tradeoffs and shift handovers play out.
Drift becomes loss. Constraints persist. Teams react to yesterday's exception while today's signal goes unanswered.
Connect 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 optimisation — and toward controlled autonomous action on the responses that have earned the confidence and the governance to run on their own.
- 01
Detect process drift
Live signals from historians, MES and quality systems — with envelope-aware thresholds and SME-codified rules surfacing what matters.
- 02
Identify constraint or cause
Match the drift to the upstream constraint, the equipment state, or the operating condition that's driving it.
- 03
Evaluate response options
Compare setpoint moves, mode changes, and operator actions against production, quality, energy and reliability tradeoffs.
- 04
Recommend next action
Surface the prioritised response with the rationale operators and supervisors need — in the workflow they already use.
- 05
Coordinate approval & execution
Route the right approvals, log the handoff, and trigger the action — whether the human acts or the policy allows the agent to.
- 06
Capture outcome & learning
Record what happened, what worked, and what the operating envelope should look like next time — the next decision is smarter.
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 optimisation loop carried by the platform over time.
PHASE 1
Monitor & Predict
Detect drift early.
Detect process drift, constraints, abnormal behaviour and expected impacts. Performance opportunities flagged before they become production loss.
PHASE 2
Advise & Coordinate
Recommend, prioritise, coordinate.
Recommend operating responses and coordinate approval, handoff and execution across operators, supervisors and process engineers.
PHASE 3
Operate Autonomously
Act within policy boundaries.
Execute selected optimisation actions within approved governance boundaries when confidence is high and policy allows — humans on the loop, not necessarily in it.
What process optimisation looks like in production.
Seven process-optimisation use cases customers run on the platform today — spanning drift detection, constraint and envelope monitoring, recommendation-driven adjustments, and the scenario decision support that keeps coordinated action on track.
Agent templates built for process optimisation.
Five agent patterns that codify the decision work operations and process teams do today — ready to deploy from the AI Agent Library, customise to your operation, and govern under your control modes.
Process Performance Assistant
Surfaces live process state, drift indicators and operating-envelope deviations so operators see what to look at first.
AI ADVISORProduction Loss Advisor
Reconstructs the loss event, attributes it to upstream constraints, and surfaces the response options that would have prevented it.
AI ADVISORConstraint Advisor
Identifies which constraint matters most right now — and what trade-offs each candidate response opens.
AI AGENTOperating Envelope Monitor
Watches the operating envelope per asset, product and grade — and flags excursions before they propagate into the next shift.
AI ASSISTANTDecision Replay Assistant
Replays the decision: what was seen, what was recommended, what was approved, what changed — for review and continuous improvement.
Browse all Expert AI AgentsTrusted by industrial operators.
Where to go next.
Process Optimisation sits inside the wider Agentic Operations Platform. Continue exploring the surrounding architecture.
Close the loop on process performance.
Bring process signals, operating envelope, recommendations, workflows and Expert AI Agents onto one canvas — under governance you control.
