SOLUTIONS · QUALITY & COMPLIANCE
Detect quality risk earlier and keep decisions traceable.
XMPro helps teams connect process signals, product context, compliance requirements, corrective actions, approvals, and evidence so quality and compliance decisions can be coordinated and reviewed.
Quality and compliance issues emerge from weak signals scattered across the operation.
Production, process conditions, inspections, exceptions, procedures, documents, and human judgment all carry early indicators. To act on them, teams need to answer six questions whenever quality risk surfaces.
Where is quality drifting?
Drift rarely arrives as a clean alarm. Spec deviations, process variations, and inspection results need to be read together to catch it before product is affected.
What process context matters?
A spec deviation can be a recipe issue, equipment wear, or operator change. Without the surrounding context, the investigation chases the wrong cause.
What evidence supports the decision?
Inspections, procedures, lab results, and batch history all live in different systems. Assembling the right evidence at the right time is half the investigation.
What corrective action is required?
A correction can range from a setpoint nudge to a full batch reject. The right call depends on the failure mode, downstream exposure, and policy boundaries.
Who approved the response?
Quality sign-off, operations sign-off, and compliance sign-off may all be required. Capturing who approved what — and on what evidence — is part of the decision, not paperwork after.
What needs to be retained for audit or review?
Audit and review need a defensible trail months or years later. Capturing the right slice of evidence now is cheaper than reconstructing it from scattered systems then.
XMPro answers all six inside one governed loop — evidence captured, approvals recorded, decisions reviewable. See how the governance and auditability layer works.
Explore Governance & AuditabilityConnect signals to corrective action with the evidence intact.
XMPro connects live signals, operational context, compliance controls, workflows, recommendations, and decision records so teams can detect risk earlier and coordinate corrective action.
Move quality and compliance from monitor to bounded autonomy.
Each stage adds approved authority. Monitor & Predict detects early quality drift and compliance risk. Advise & Coordinate recommends investigation steps, corrective actions, and approval paths. Operate Autonomously triggers selected workflows or evidence capture within approved policy boundaries.
Quality & compliance patterns from the Solutions Library
A curated subset of quality use cases live across the library today, weighted toward batch and process integrity. Browse the full library for additional industry- and asset-specific patterns.
Golden Batch Monitoring
Live comparison of every batch against the golden-batch profile, with feed-rate and parameter 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.
CHPP Throughput Loss Monitoring
Decompose CHPP throughput loss into specific equipment, process and feed-quality causes — with ranked recovery actions.
The quality decision loop, end to end.
From the first signal of drift to the recorded decision, every step in the loop is governed, evidenced, and reviewable.
Pre-built agents that operationalise the quality loop.
A curated selection of MAGS-powered agents and assistants that align with the quality and compliance maturity path. Browse the full marketplace for industry-specific patterns.
Agentic Quality Control Agent (Quality Guardian)
Target Outcome
SCRAP & REWORK COSTS
Measurable reduction
Predictive defect detection · RCA cycle 4—48 hrs → automated
Agentic Compliance and Safety Officer Agent (Standards Guardian)
Target Outcome
POLICY COMPLIANCE RATE
99%
Continuous automated monitoring · 95% predicted incident prevention
Agentic Anomaly Detection & Root Cause Analysis Agent
Target Outcome
ANOMALY DETECTION LEAD TIME
Hours—days early
Before production impact · automated causal reasoning
Root Cause Report Generator Agent
Target Outcome
RCA REPORT TIME
4—8 hrs → Minutes
Draft generated in minutes · engineer reviews, not writes
Agentic Knowledge Synthesis & Decision Support Agent
Target Outcome
DECISION CYCLE TIME
Same-session
Synthesised multi-agent intelligence · OEE-aligned priorities
Agentic Root Cause Analysis Agent (Failure Investigator)
Target Outcome
INVESTIGATION CYCLE TIME
Significant reduction
Initial findings within hours · recurring failure rate reduced
Close the loop on a single quality or compliance path.
Pick one priority spec or batch. Surface the drift. Govern the response. Capture the evidence. Then expand to the next path.