Audit and diagnosis
Find the break before funding the fix.
An independent review of architecture, data flow, ownership, operational risk and scale-up readiness.
Useful when the symptom and root cause are not the same.
A dashboard delay may originate in a tool controller, identity contract, broker state, MES interface, ownership gap or recovery procedure.
Architecture audit
Current-state topology, system roles, interfaces, dependencies, security boundaries and technical debt.
Data-flow diagnosis
Identifiers, timestamps, units, quality, context, acknowledgement, duplicates and missing events.
Platform health
ThingWorx, Kepware, MQTT, OPC UA, integration services, databases and time-series pipelines.
Operational readiness
Monitoring, support ownership, deployment, backup, restore, troubleshooting and recovery.
Scale-up assessment
Naming, reusable models, onboarding, lifecycle governance and multi-line or multi-site deployment.
Use-case readiness
Asset performance, predictive maintenance, asset tracking, fleet management and shopfloor digitalization.
Evidence collected from the real flow.
The audit combines documents, interviews, configuration evidence and direct observation where access allows.
Define the production event, decision, users and expected evidence.
Review systems, assets, models, logs, interfaces and procedures.
Exercise normal, degraded, disconnected and recovery scenarios.
Separate immediate stabilization from architecture and scale-up work.
A decision-ready audit pack.
Current state
Architecture and data-flow map with observed constraints.
Findings
Evidence, impact, root-cause hypothesis and confidence level.
Risk and ownership
Operational risks, accountable teams and unresolved decisions.
Action plan
Prioritized remediation, target pattern, pilot and validation sequence.
Run the first review internally.
Download the bilingual-ready 12-point industrial integration audit checklist for a 60 to 90 minute working session.
Get the checklistAudit one difficult flow.
Bring the current architecture, known failures and the operational decision at risk.