Operational
command center
Your operation runs on data that no one can
act on fast enough.
The missing context
between systems
Every function has a dashboard. PLM tracks design state, MES tracks the floor, ERP tracks inventory and cost, and QMS tracks quality events. Each system does its job. What none of them do is share an understanding of how their data connects across the lifecycle.
A deviation on the floor may trace back to an engineering change or a supplier shift, but finding that connection requires someone to pull data from multiple systems, reconcile it by hand, and coordinate a response across teams.
For operations leads, engineers, and supply chain planners, that gap between signal and action is where time and margin are lost. For executives, it means disruptions propagate before the full impact is visible.
The enterprise context layer for industrial operations
Intelligence Center X, built on Mendix as an agentic enterprise system, connects PLM, MES, ERP, QMS, and IoT systems into a single industrial ontology.
The operation is understood as a whole, not system-by-system
Once that context is in place, agents act on what they see across the lifecycle:
- routing decisions
- flagging deviations
- and coordinating responses.
People step in where judgement is required, and every action stays traceable.
Enterprise knowledge graph
Graph Studio connects data from PLM, MES, ERP, quality systems, and supply chain into one continuously updated industrial ontology for the Operational Command Center.
When a deviation surfaces on the floor, the knowledge graph already holds the engineering, supplier, and production context needed to understand its scope.
Leadership and operations get a connected operational model that updates as changes happen.
Agentic application development
Mendix Studio Pro brings lifecycle context directly into the workflows where decisions get made, building production-grade agentic applications on topo of the knowledge graph.
Agents act within governed boundaries, escalating to a person when conditions fall outside defined parameters, so operations, engineering, and supply chain teams stay in control of every consequential decision.
The result is a workforce where people and agents operate from the same context, across every function.
Process orchestration
Cross-application orchestration connects business events from MES, PLM, ERP, and quality systems into one traceable end-to-end process.
Multiagent orchestration lets specialized agents coordinate the way a cross-functional team would, so a signal in one function triggers a governed response across all of them.
Response time across the lifecycle compresses from days to hours..
Optimized for Siemens Xcelerator
For organizations running Siemens Xcelerator, Intelligence Center X deploys with out-of-the-box industrial ontologies for lifecycle intelligence products. Agents and applications have immediate operational context, so the Operational Command Center extends AI value acorss the full Siemens investment from day one.
Built for any OT platform
For organizations running OT from any other vendor, Intelligence Center X layers on top of existing systems and builds the same enterprise context and agentic workflows. The governed hybrid workforce operates across the full lifecycle regardless of which OT stack is already in place.
CNH Industrial enabled faster supply chain collaboration with a single source of product and engineering data.
Connect your data, people, and
agents into one governed
model that acts.
Frequently Asked Questions
We already have a data lake and several dashboards. What does this add that we don’t already have?
A data lake aggregates; it doesn’t contextualize. Intelligence Center X builds an industrial ontology that understands how PLM, MES, ERP, and quality data relate, then lets agents act on that context inside governed workflows. The dashboards stay; the manual coordination between them goes away.
How does the platform handle auditability as agents take on more of the operational response?
Every agent decision, human approval, and workflow execution is logged, traceable, and policy-enforced from the first deployment. Auditability is built into the platform itself, covering the full chain from signal to action across every system the platform touches.
As usage scales across functions, how does IT maintain control over what agents can do and who can build?
Governance and Security sets and enforces standards for who can build what and how it runs, enterprise-wide. IT defines the boundaries; agents operate within them and escalate outside them. Control doesn’t erode as the governed hybrid workforce scales.