QUALITY & COMPLIANCE · SIGNAL TO EVIDENCE
Detect quality risk earlier and keep decisions traceable.
Connect process signals, product context, compliance requirements, corrective actions, approvals and evidence — so quality decisions can be coordinated, defended, and reviewed under governance you control.
Quality risk emerges from weak signals spread across the operation.
Production, process conditions, inspections, exceptions, procedures, documents and human judgement all hold pieces of the picture. By the time the signals are reconciled, the drift has often become a deviation, a corrective action, or an audit finding.
Drift indicators, SPC excursions, in-process tests and inspection results fire across MES, LIMS, historians and quality systems — rarely in one place, rarely tied to the batch or lot context.
Investigation pulls in procedures, batch records, operator notes and supplier data. Corrective-action approvals and audit-ready records depend on rebuilding the story after the fact.
Quality drift becomes a deviation. Corrective actions sit open. Audit prep is a fire-drill instead of a record review.
Connect quality signals, context, and decision evidence.
XMPro connects live signals, operational context, compliance controls, workflows, recommendations and decision records so teams can detect quality risk earlier, coordinate the corrective action, and preserve the evidence the next review will ask for — before the audit asks.
- 01
Detect quality drift
Live signals from production, in-process tests and inspection systems — surfaced against specs, control limits and product context.
- 02
Identify affected scope
Pinpoint the process, product, batch or lot — and the upstream conditions that brought the drift into the window.
- 03
Pull evidence & context
Batch records, procedures, operator notes, supplier data and prior deviations — assembled in the workflow, not chased after the fact.
- 04
Recommend investigation or action
Surface the prioritised next step — investigation, containment, or corrective action — with the rationale the reviewer will need.
- 05
Route approval
Send to the right role for sign-off, log the handoff, and keep the chain of evidence intact across shifts and sites.
- 06
Record decision & outcome
Capture what was decided, who approved, what changed, and what the audit will see — the record is built as the work happens.
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 quality decision loop carried by the platform over time.
PHASE 1
Monitor & Predict
Detect drift early.
Detect early quality drift and compliance-risk indicators. Surface deviations against spec, control limits and batch context before they become findings.
PHASE 2
Advise & Coordinate
Recommend, route, record.
Recommend investigation steps, corrective actions and approval paths — routing the right roles, capturing the evidence and the decision rationale as the work happens.
PHASE 3
Operate Autonomously
Act within policy boundaries.
Trigger selected workflows or evidence capture within approved policy boundaries when confidence is high and the audit trail is preserved — humans on the loop, not in it.
What quality and compliance look like in production.
Six use cases customers run on the platform today — spanning quality drift detection, batch review, corrective-action coordination, audit-ready evidence and the procedure context that keeps decisions traceable.
Agent templates built for quality and compliance.
Five agent patterns that codify the decision work quality, compliance and operations teams do today — ready to deploy from the AI Agent Library, customise to your operation, and govern under your control modes.
Quality Drift Assistant
Surfaces live quality signals, spec excursions and batch-context drift so operators see what to look at first.
AI ASSISTANTCompliance Evidence Assistant
Pulls the batch records, procedures, operator notes and supplier data the investigation needs — before the reviewer asks.
AI ADVISORCorrective Action Advisor
Recommends the prioritised investigation or containment step, with the rationale the approver needs to act with confidence.
AI ASSISTANTAudit Preparation Assistant
Assembles the decision record — what happened, what was approved, who signed off — in the format the audit will ask for.
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.
Quality & Compliance sits inside the wider Agentic Operations Platform. Continue exploring the surrounding architecture.
Make quality and compliance decisions traceable.
Bring quality signals, batch context, evidence, approvals and Expert AI Agents onto one canvas — under governance you control.
