The data is already there
Every plant with a SCADA system and a historian has been gathering vibration, temperature and current data for years. Those time series end up in AVEVA or PI and are rarely touched again. The signals of the next breakdown are often already in there; they just go unread. The problem is not a shortage of data but a shortage of access to it.
Why the platform project is the wrong first step
A data-platform programme easily takes a year before the first user gets anything out of it, and the business case rests on a promise. We start the other way round: pick one installation or one failure mode with demonstrable downtime costs, open up exactly the data that needs, and prove the return. The platform can still follow later, as a result of proven value rather than a precondition for it.
Outside the control loop, by design
We read data through the historian or existing exports and stay on the IT side of the OT/IT divide. AI has no business reaching autonomously into the safety chain of an installation; that is the job of certified control systems. The AI flags that a bearing is behaving abnormally and prepares the work order; the decision to intervene stays with your maintenance team.
From signal to work order
The difference between a dashboard and a return is the last metre: the signal has to become a work order in your CMMS, with the right priority and context. That is why we connect more than the sensor data; we connect Ultimo, Maximo or SAP PM too. Predicting without any follow-up is just a pricier kind of report.