Apprend / Departments / Maintenance

Maintenance that predicts — not reacts.

Replace reactive break-fix and calendar-based PM with a maintenance layer that watches your machines, predicts failures, and writes the work order before the technician needs to ask.

From reactive break-fix
to predicted & scheduled.

// BEFORE APPREND

The reactive maintenance status quo

  • PM scheduled by calendar — too early on some machines, too late on others
  • Failures discovered when production stops
  • MRO inventory either bloated or missing the part you need
  • Work orders live in a CMMS nobody opens
  • Technician knowledge walks out when senior staff retire
// WITH APPREND

The Apprend maintenance layer

  • PM scheduled by actual machine condition, not calendar
  • Failures predicted days or weeks before they happen
  • MRO inventory tuned to actual usage patterns
  • Work orders auto-drafted with full context, photos, and history
  • Technician knowledge captured in searchable repair history

Six steps from start to finished workflow.

From condition data to closed work order, on one operating layer.

SENSORS Vibration · temp PLC Cycle counts HISTORY Past repairs APPREND OPERATING LAYER Watch · Predict · Schedule ON-PREM WORK ORDER Auto-drafted TECHNICIAN Tablet dispatch PROCUREMENT MRO restock DASHBOARD Uptime tracking YOUR EXISTING SYSTEMS CMMS · MES · ERP two-way sync
Data flows up · decisions flow down · everything stays inside your perimeter
01

Apprend watches the machine

Vibration, temperature, current draw, cycle counts — Apprend ingests whatever your machines emit (and infers what they don't) to build a real-time health picture.

Apprend AI Continuous PLC · MES · Sensors
02

Drift gets caught early

When a machine's signature starts to drift from baseline, Apprend flags it — sometimes weeks before failure. The supervisor sees the trend and the predicted failure window.

Apprend AI Supervisor Days–weeks ahead
03

Work order, auto-drafted

Apprend opens a work order with the predicted root cause, the parts likely needed, the technician most familiar with this machine, and the full repair history of similar past failures.

Apprend AI Maintenance lead
04

Technician dispatched with context

On the technician's tablet: the machine, the symptom, the likely fix, the parts, the past repairs. No hunting through binders. No "who fixed this last time?"

Technician Tablet
05

Repair logged, knowledge captured

Technician closes the work order with what was actually done, parts used, time taken, and any notes. That becomes training data for the next time it happens.

Technician Apprend AI
06

MRO inventory rebalances

Procurement sees actual part usage patterns. Reorder points adjust automatically. Slow-moving inventory is flagged for write-down. Critical parts are flagged for backup stock.

Procurement Apprend AI

Plays nicely with your existing systems.

Apprend connects to your CMMS, MES, PLCs, and sensors.

Fiix UpKeep MaintainX Limble eMaint IBM Maximo Infor EAM Allen-Bradley Siemens Custom API

Want this running on your machines?

90 days from kickoff to first shift live. Deployed inside your perimeter.