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For the Maintenance Manager

Get ahead of the breakdowns instead of chasing them.

A standalone CMMS knows your assets but not your schedule, your spares but not your inventory. Cortrova runs the full maintenance operation - asset registry, PM scheduling, work orders, spares - on the same data model as production, so PMs land in real schedule gaps, parts are actually on the shelf, and telemetry flags the failure before it takes the line down.

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42
Maintenance / CMMS features
PMs
Scheduled against production load
Telemetry
Early warnings before the breakdown
Unlimited
Users - every tech on the system

The challenge

  • !The department runs reactive: the day is whatever broke, PMs slip to make room for breakdowns, and slipped PMs breed the next breakdown
  • !Maintenance and production fight over the same hours - the CMMS schedules a PM with no idea what the line is running, so PMs get bumped and the machine runs to failure
  • !The spare isn't on the shelf when the machine is down, because the CMMS spares list and the storeroom inventory are two systems that have never agreed
  • !Asset history lives in a senior tech's head, and every repair on the old Mazak starts with finding the one person who remembers the last one

How Cortrova answers

  • A full asset registry with the complete work history - every work order, part consumed, and reading - on the record, so any tech walks up to any machine with the history in hand
  • PM scheduling that reads production load: because maintenance and finite-capacity scheduling share one data model, PMs are planned into real schedule gaps instead of being bumped by them
  • Work orders dispatched with the job context attached - procedures, required parts, lockout-tagout requirements - and closed at the machine by the tech, not typed in from paper at end of shift
  • Spares tied directly to live inventory: the parts on a work order reserve real stock, consumption drives reorder, and 'is the bearing on the shelf' has one answer instead of two
  • Telemetry-driven early warnings: machine signals feed AI agents that flag a developing failure - the vibration trend, the temperature drift - so you schedule the fix instead of absorbing the breakdown

A day on the platform

Maintenance when the schedule finally works with you.

The goal isn't more wrenching hours - it's spending the ones you have on planned work instead of firefighting. That takes a system that sees what production sees.

Morning - the backlog, ranked

Open work orders ranked by production impact, PMs due this week already slotted into schedule gaps, and any telemetry flags from overnight. You assign the day in ten minutes instead of triaging by whoever called loudest.

A warning instead of a breakdown

Telemetry flags a vibration trend on a spindle. You check the asset history, see the same signature preceded the last failure, and schedule the swap in Thursday's changeover window - with the parts reserved before the tech walks over.

The PM that doesn't get bumped

The scheduler shows the press idle from 1:00 to 3:30 between jobs. The PM lands there, production keeps its commitments, and the standing argument about whose hours those are just doesn't happen.

Closing out with the history intact

The tech closes the work order at the machine: parts consumed, readings, notes, time. The asset history builds itself, spares consumption hits inventory in real time, and nothing waits for the paper to be typed in.

How it works

Adopting For the Maintenance Manager.

01

Weeks 1-2: map the asset base

Discovery covers your equipment list, PM program, spares strategy, and where the telemetry is - what has sensors today and what should. The maintenance configuration is built around your floor, not a generic asset template.

02

Weeks 2-4: migrate assets and history

The asset registry, PM schedules, open work orders, and spares catalog move in - and the spares list reconciles against storeroom inventory during migration, so go-live starts with one count instead of two.

03

Weeks 4-6: train every tech

Unlimited users means every tech gets an account and closes work at the machine, so the asset history builds from day one. AI calibration in the same window tunes the early-warning agents to your equipment's baselines.

04

Weeks 6-8: validated go-live

Go-live validates that PMs generate on schedule, work orders dispatch with parts reserved, and telemetry flags route to the right people. Most manufacturers complete the five-phase deployment in a typical 4-8 weeks.

FAQ

Questions, answered.

Does Cortrova replace my standalone CMMS?

Yes - the maintenance module carries 42 CMMS features covering the asset registry, PM scheduling, work orders, and spares, and it comes with the platform rather than as a separate purchase. The difference from a standalone CMMS isn't the feature list, it's the shared data model: your PMs see the production schedule, your spares see the storeroom, and your downtime feeds the scheduler that replans around it.

How does PM scheduling actually coordinate with production?

Maintenance and finite-capacity production scheduling run on the same data model. When a PM comes due, it's planned against the actual production load at that work center - into a changeover, an idle window, or a negotiated slot - and when a machine goes down unexpectedly, the production schedule resequences around the outage automatically. The maintenance-versus-production standoff becomes a scheduling decision with the trade-offs visible to both sides.

How do spares connect to inventory and purchasing?

Spares are inventory items on the same live model as production stock: work orders reserve parts when planned, consumption decrements stock at close-out, and min-max or reorder logic drives purchasing automatically. The failure mode where the CMMS says two on the shelf and the storeroom has zero goes away, because there's one record instead of two.

What does telemetry integration look like, and do my techs need licenses?

Machine signals come in through the integration layer - 33 integrations and roughly 1,286 API endpoints - and feed AI agents calibrated to your equipment's baselines, so a drift in vibration or temperature raises a flag with the asset history attached. And no, there's no per-seat licensing: users are unlimited on a flat annual rate, so every tech works in the system and the asset history gets built at the machine instead of on paper.

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See Cortrova through the maintenance manager's screen.

We'll tailor a demo to your role, your KPIs, and your operation.

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