Equipment hierarchy
Create a shared, structured view of the assets you actually operate, aligned with ISO 14224. Everyone sees the same equipment context and can connect reliability information to the asset where it matters.
The intelligence layer that makes your reliability workforce more effective.
Your CMMS manages work. ProactOS helps your people decide what work matters, why it matters and what should happen next.
It connects asset hierarchy, failure knowledge, maintenance strategy, field observations, risk and actions — and can work alongside SAP PM, Maximo, Ultimo, PI and other CMMS, EAM, historian, data-platform and engineering systems you already rely on, where available.
What ProactOS is for
Top-quartile reliability is rarely limited by a lack of data.
The challenge is turning everything the organisation knows — asset history, failure modes, maintenance strategies, field observations, operating experience and risk — into better decisions at the right moment.
ProactOS creates a reliability intelligence layer around the systems you already use.
It helps your workforce move from:
Information → Understanding → Decision → Action → Learning
What better reliability also means
More reliable assets and plants tend to run with less waste and lower emissions. Fewer unplanned events, smoother operation, and less energy and material lost to failures and rework.
That follows from better reliability — not from a separate programme, and not something ProactOS can claim on its own.
Six capabilities that work together
FMEA and reliability strategy
Bring failure modes, consequences, controls and maintenance strategies into one continuously evolving reliability knowledge base. Instead of reliability knowledge being distributed across spreadsheets, documents and individual expertise, your teams can continuously maintain and improve it.
Field observations and risk
Give operators and technicians a simple way to capture what is happening in the field. Connect observations to assets, failure modes and risk so the organisation can distinguish between noise and signals that require action.
Decision to action
Once a reliability decision has been made, ProactOS helps translate it into an action and connect it with the work already managed through the CMMS. The objective is not another task list. The objective is better work.
Causal investigation
When a failure or operational exposure warrants deeper investigation, structured causal investigation helps teams understand causes, capture learning and prevent recurrence.
Visual reliability management
Give supervisors and operational teams a shared view of risks, priorities, actions and status. The right information reaches the people who need to make the next decision.
How ProactOS sits next to SAP PM, Maximo, Ultimo and PI
Your existing systems remain important.
Work orders, job plans and the equipment master can remain in the EAM or CMMS that already owns them.
ProactOS can work alongside historians, data platforms, engineering systems and existing reliability knowledge, where available.
ProactOS adds the reliability intelligence around those systems:
- ISO 14224-aligned equipment hierarchy
- Failure modes and FMEA
- Maintenance strategy
- Field observations
- Risk and exposure
- Reliability actions
- Causal investigation and learning
- Visual management
Process data from PI and similar historians can provide additional context.
ProactOS connects the information people need to make reliability decisions with the systems used to execute those decisions.
People decide
ProactOS is not designed to automate engineering accountability.
Where AI is used, it plays an advisory role.
AI can help find relationships, summarise information, identify potential failure patterns and surface areas that deserve attention.
People decide what matters. People decide what to do.
ProactOS simply gives them better context to make those decisions faster and with greater confidence.
Start with one unit
A controlled 90-day single-tenant pilot on one unit or one asset class.
Use your own assets, your own reliability knowledge and your own people.
Then measure whether better reliability intelligence changes the decisions and actions that matter.
How a 90-day pilot works