Solution · Operations
We don't replace your CMMS — we make it smarter. Foreman correlates asset signals across your historian and MES, then surfaces the moments worth a maintenance ticket before the line goes down. Internally we call it predictive triage; externally the search term is predictive maintenance. Both describe what runs.
The pain
Your CMMS works in tickets, not signals. By the time something becomes a ticket, the line is already down or the engineer is already standing in front of it with a multimeter. The historian had the early warning two days ago. Nobody was watching the historian.
Most 'predictive maintenance' products are calendar-based or vendor-specific. They tell you when to replace a bearing on a press they sold you, not when the spindle on the line next to it is starting to behave like the one that seized in March. Plant engineers know the cross-asset patterns; the tools don't.
And the false-positive rate matters. Maintenance teams that get paged on every drift learn to ignore the pager. The question isn't 'is something changing?' — every signal is changing. The question is: is this change worth pulling someone off the line for?
What Foreman does about it
Foreman watches your historian, your MES events, and your shift logs as one connected surface. When pressure on Press 2 starts drifting the way it did before last quarter's seizure, the agent sees the pattern across all three streams — not in isolation.
Built on · Digital Twin
Every recommendation comes scored: which asset, which symptom, which historical match, and how confident the agent is. Maintenance opens the morning queue and sees 'three worth your time today' — not 47 alerts to disposition.
Built on · Agent Engine
Maximo, SAP PM, eMaint, IFS — Foreman writes drafts into the system you already use, with the work order pre-filled from the diagnostic context. Your maintenance planner approves it the same way they approve any other ticket.
Built on · Decision Layer
Every closed ticket teaches the agent what the early signature looked like. Six months in, Foreman is catching the patterns your senior planner would have recognized — at every shift, on every asset, not only when the right person is on rotation.
Built on · Digital Twin · Decision Layer
What we'd move
Median lead time from first historian signal to a 'worth a ticket' recommendation, vs. CMMS-only baseline.
Triaged tickets surfaced per morning queue — the ones worth your planner's time, not the noise.
CMMS replacements required. Foreman drafts into Maximo, SAP PM, eMaint, or your in-house tracker.
* Discovery-stage estimates from historian + CMMS walkthroughs. Replaced with measured numbers as pilots run.
The one outcome that matters
We're conservative with stats — your reliability engineer would catch us inventing numbers. The point of comparison is the unplanned-downtime hour you don't have to explain. Foreman moves the recognition forward; your CMMS does the rest.
Where it lands
Historian
OSIsoft PI, Aveva, MQTT brokers, OPC-UA endpoints. Vibration, pressure, current draw, cycle time — Foreman picks up whatever your line is already streaming.
CMMS
Maximo, SAP PM, eMaint, IFS, your in-house Postgres-and-spreadsheet hybrid. Foreman drafts work orders in the format your planners already approve.
Condition sensors
Add-on vibration, thermal, or current sensors are supported but not required. Foreman starts with the signals you already have and recommends what's worth instrumenting next.
Foreman is read-only on your MES and historian by default. Writes only land in the CMMS, scoped to the tickets your planners approve. See the full integration list →
Industry fit
A 30-minute call to walk through your historian, your CMMS, and where Foreman would have caught the last failure that hit your line.
