Operational Intelligence Control Tower
Unify production, warehouse, fleet, quality, energy, and operational exceptions into one decision layer with clear ownership and action paths.
The interactive reference implementation uses synthetic operational records; production delivery is adapted to your systems, controls, and operating model.
Operational problems this solution is designed to address.
Operational data is fragmented across ERP, MES, WMS, fleet, telemetry, and spreadsheets.
Teams discover exceptions after they have already affected production or service levels.
Dashboards report KPIs but do not assign ownership or track resolution.
Cross-site operating decisions require manual reconciliation and local knowledge.
Built as an operating product, not a presentation layer.
Faster exception detection and escalation
A shared operating view across functions and sites
Traceable decisions from signal to owner to action
A reusable operational data foundation for analytics and AI
A production path from operational systems to decision surface.
The reference architecture is intentionally modular so data sources, deployment boundaries, AI components, and enterprise controls can be replaced without rebuilding the entire product.
01
ERP
02
MES
03
IoT
04
WMS
05
Fleet Systems
06
Connectors
07
Operational Data Layer
08
Analytics / Event Processing
09
AI / Rules
10
Operational Control Tower
Typical implementation path
Define operating decisions and KPI model
Connect minimum viable source systems
Normalize events and exceptions
Pilot with one site / operating area
Expand ownership workflows and AI-assisted investigation
Related engineering services
Operational Data & Intelligence
Unify operational signals from enterprise systems, telemetry, and workflows into trusted metrics, event models, and decision surfaces.
View serviceOperational AI Discovery Sprint
Frame an operational AI opportunity around a real decision, process, data boundary, risk profile, and production path before committing to a larger build.
View serviceExplore the reference implementation
Inspect the workflow, operating state, controls, and architecture with synthetic data.
Download technical brief
Review the reference architecture, integration approach, security considerations, and operating KPIs.
Estimate the opportunity
Use an indicative ROI model to frame the operating assumptions before implementation.
Discuss your implementation
Share the current system landscape, operating problem, and target outcome.