For the Plant Manager
Run the plant from one live picture, not the morning meeting.
You own safety, quality, schedule, and cost, but each one lives in a different system and a different person's head. Cortrova puts all four on one live data model, so your day is driven by exceptions that actually threaten the plant - not by reconstructing yesterday from whiteboards, spreadsheets, and hallway conversations.
The challenge
- !The morning meeting is archaeology: an hour spent reconstructing what happened yesterday from a quality spreadsheet, a maintenance whiteboard, a scheduling printout, and whoever showed up
- !Safety, quality, schedule, and cost each live in a separate system, so nobody can answer 'how is the plant doing right now' without a data pull
- !Problems surface at end of shift or at month-end, after the scrap is made, the date is missed, and the overtime is already spent
- !Cross-department accountability dies in the gaps: production blames maintenance, maintenance blames purchasing, and the record that would settle it doesn't exist
How Cortrova answers
- ✓One live picture of the plant: schedule adherence, open NCRs, downtime, incidents, and cost variance on the same data model, current as of right now - not as of last night's export
- ✓An exception-driven day: 65 embedded AI agents watch throughput, quality signals, machine health, and delivery risk, so what reaches you is ranked by impact instead of by who shouted loudest
- ✓Cross-department accountability on one record: the work order, the downtime event, the NCR, and the late PO all link, so 'whose problem is this' is answered by the data, not the loudest voice in the room
- ✓Unlimited users means every supervisor, lead, and operator works in the system, so the record is built where the work happens instead of typed in after the fact
- ✓Real numbers for the numbers you answer for: OTD, scrap, downtime, and labor cost tracked continuously against the same transactions the floor runs on
A day on the platform
What your day looks like when the plant reports itself.
The job doesn't change - you still own everything that happens inside the fence. What changes is where your hours go. Less time assembling the picture, more time acting on it.
6:45 AM - walk in current
Before the morning meeting, the plant dashboard already shows last night's output, any open incidents, jobs trending late, and machines flagged by telemetry. The meeting is fifteen minutes of decisions, not an hour of reconstruction.
Mid-morning - work the exceptions
A throughput forecast flags a job trending late at hour two of the shift, ranked by ship-date impact. You move labor or re-sequence while there's still shift left to recover it, instead of hearing about it at handover.
Afternoon - settle it with the record
Production says the line was starved; purchasing says the material shipped. The work order, the receipt, and the inventory move are on one record. The conversation takes five minutes and ends with a fix, not a grudge.
End of day - close the loop
OTD, scrap, downtime, and cost variance updated continuously through the day. No end-of-week spreadsheet ritual, and no surprise at month-end because the number you watched all month is the number finance reports.
How it works
Adopting For the Plant Manager.
Weeks 1-2: your plant, mapped
Discovery and planning walks your value stream, work centers, shift patterns, and the metrics you answer for. The configuration is built around how your plant actually runs, not a template.
Weeks 2-4: your history moves in
Data migration brings across items, BOMs, routings, open orders, and equipment records, so day one starts with your plant's real state - not an empty system your team has to backfill.
Weeks 4-6: the whole floor gets trained
Because users are unlimited, training covers every supervisor, lead, and operator - not a chosen few who become permanent bottlenecks. Role-based views mean each person learns the screens they'll actually use.
Weeks 6-8: validated go-live
Go-live is validated against your acceptance criteria: transactions flow, the schedule runs, and the dashboard matches the floor. Most manufacturers complete the full five-phase deployment in a typical 4-8 weeks.
FAQ
Questions, answered.
Will my supervisors and operators actually use it?
That's the make-or-break question, and it's why unlimited users matters. When licensing is per-seat, shops ration logins and the floor keeps working on paper, so the system is stale by lunch. With Cortrova every person on the floor has an account, transactions happen at the point of work, and the training phase covers everyone - so the live picture stays live.
How disruptive is implementation to a running plant?
The five-phase deployment (discovery and planning, data migration, configuration and AI calibration, training, validated go-live) runs in parallel with production, and most manufacturers complete it in a typical 4-8 weeks. Your team's heaviest involvement is discovery interviews early and training near the end. Implementation is included in the flat annual rate, so there's no services meter running while you get it right.
What does Cortrova replace?
Typically the ERP plus the constellation around it: the scheduling spreadsheet, the standalone CMMS, the quality tracker, the safety binder, and the export-and-reconcile routine that ties them together. All 205+ features across 17 departments come on one data model from day one, with no feature tiers, so you're not buying modules one budget cycle at a time.
How does one platform change accountability between departments?
Because every department writes to the same data model, the record settles disputes that used to run on memory. A missed date traces to the specific downtime event, quality hold, or late receipt that caused it, with a 100% audit trail on every change. Reviews shift from arguing about what happened to deciding what to fix.
Get started
See Cortrova through the plant manager's screen.
We'll tailor a demo to your role, your KPIs, and your operation.