Quality investigation
and root cause
Resolve quality issues before they repeat across the life cycle.
The root cause visibility gap
Quality events rarely stay contained to the system where the signal first appears. A complaint that enters through a warranty claim may trace back to a supplier batch, a component specification, a process deviation on the floor, or some combination across all three.
For operations, engineering, and quality teams, the investigation is manual and cross-system: pulling records from MES, ERP, PLM, and quality systems that each hold a piece of the picture but share no common understanding of how those pieces connect.
The result is investigations that take weeks, repeat failures that shouldn’t recur, and a response coordination process that depends on the right people being available to reconcile the data by hand.
Making root cause visible
Intelligence Center X, built on Mendix as an agentic enterprise system, connects product, component, supplier, batch, and warranty data into one continuously updated industrial ontology, so the full chain of a quality event is traceable from the moment investigation begins.
A dashboard shows complaints rising: Intelligence Center X:
- understands the connected data across the lifecycle
- reasons to the systemic cause
- and coordinates the response, with people in control and every action fully audited.
The investigation moves from signal to root cause to governed resolution in hours, across every system the organization already runs.
Enterprise knowledge graph
Graph Studio links product records, component genealogy, supplier data, batch history, and warranty information from PLM, MES, ERP, and quality systems into one industrial ontology that updates as the operation changes.
When a quality signal arrives, the knowledge graph already holds the cross-lifecycle relationships needed to size the blast radius and trace the systemic cause, not just the symptom.
Quality and operations teams see the full connected picture before the investigation is even formally opened.
AI/ML model development and deployment
AI Studio lets quality, engineering, and operations teams build and deploy defect-prediction and anomaly-detection models grounded in connected lifecycle data, so issues are flagged before they propagate across the produce line.
Every model is versioned, monitored, and governed; drift if detected automatically, so the models stay accurate as production conditions change.
Teams move from reactive investigation to proactive across the full lifecycle.
Process orchestration
Cross-application orchestration connects the business events behind a quality investigation into one traceable end-to-end workflow, spanning complaint intake, root cause analysis, corrective action, and certified closure.
Multiagent orchestration lets specialized agents coordinate across quality, engineering, supply chain, and operations the way a cross-functional review team would, with each step triggering the next in sequence.
Resolution time compresses because coordination runs through the platform, with every handoff logged and audible.
Optimized for Siemens Xcelerator
For organizations running Siemens Xcelerator, Intelligence Center X deploys with out-of-the-box industrial ontologies for lifecycle intelligence products, giving quality and engineering teams immediate connected context across design and production data. Quality investigation workflows extend the value of existing Siemens investments across the full product lifecycle.
Built for any OT platform
For organizations running quality, MES, and ERP from any other vendor, Intelligence Center X layers on top of existing systems and builds the same connected lifecycle context and agentic investigation workflows. The governed hybrid workforce operates across the full signal-to-resolution process regardless of which quality or production stack is already in place.
Vivix resolved production issues 85% faster and saved 6,000 hours per year after deploying on Mendix.
Connect the full lifecycle and
close quality issues before they
have the chance to repeat.
Frequently Asked Questions
Our quality, MES, and ERP systems each hold part of the picture. How does this work across all of them?
Intelligence Center X layers on top of existing systems and connects them through the industrial ontology. No data migration is required. The knowledge graph builds the cross-system relationships the investigation needs from the systems already in place.
How do we maintain auditability across agent actions and human approvals during an investigation?
Every agent action, human approval, and workflow step is logged, traceable, and policy-enforced from the first deployment. The full chain from complaint intake to certified closure is auditable across every system the platform touches.
As quality workflows scale across functions, how do we prevent critical investigation knowledge from concentrating in a few people?
Process orchestration encodes the investigation workflow, escalation logic, and resolution steps into the platform itself. The knowledge that experienced quality engineers carry becomes a governed, repeatable process available across the organization.