Workspace Panel is an independent consultancy for Enterprise Asset Management, IBM Maximo, data engineering and applied AI — shaped by hands-on work inside semiconductor, automotive and aerospace manufacturing.
Heavy industry runs on assets. We make the systems behind those assets — the data, the workflows, the intelligence — actually work.
Asset management only delivers when the platform, the data and the intelligence line up. We work across all three — and the plumbing in between.
Implementation, upgrades and rescue for IBM Maximo and Maximo Application Suite — asset hierarchies, work management, PM strategies, inventory and mobility, tuned to how maintenance actually happens.
Pipelines that move asset, work-order and sensor data reliably — from source systems into warehouses, lakes and dashboards. Modeled for analytics, governed for trust.
Practical machine intelligence on top of maintenance data — failure-pattern analysis, predictive maintenance, anomaly detection and AI-assisted workflows that technicians actually use.
The connective tissue: REST APIs, Maximo Integration Framework, ERP hand-offs and event-driven flows — architected across cloud, on-prem and containerized environments.
This practice is built on years working within leading manufacturers — not observing industry from the outside, but running its systems from within.
Semiconductor capital equipment is where asset management is least forgiving — cleanroom tools, extreme uptime expectations and data volumes that punish weak pipelines. Experience here shaped a discipline for reliability engineering and tool-data at scale.
From heavy trucks to high-volume passenger vehicles: plant maintenance systems, production-asset data and the EAM workflows that keep lines moving — where an hour of downtime has a very visible price tag.
Aerospace manufacturing layers rigorous configuration control and traceability onto every asset and work order. Current work centers on enterprise asset systems and data at this intersection of scale, safety and regulation.
Understand the real state of your asset data, EAM configuration and integrations — what's trustworthy, what's broken, and what it's costing you.
Design the target: clean asset hierarchies, governed pipelines, integration patterns and a pragmatic path from where you are to where the value is.
Build it — automation scripts, pipelines, AI-assisted workflows and monitoring — so the system improves itself instead of demanding constant care.
Workspace Panel operates its own self-hosted platform — virtualized infrastructure, containerized services, zero-trust access and observability — where architectures are proven before they're proposed. If we suggest it, odds are we're already running it.
A short conversation is usually enough to know whether we can help — with your EAM platform, your data, or the intelligence layered on top.
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