Flow 073 · Predictive maintenance

Fix it on a Tuesday afternoon, not in the middle of a rush.

Equipment rarely fails without warning. The warning is just buried in sensor readings and service logs nobody has time to watch. This flow watches them for you, spots the early signs of wear, and books the repair into planned downtime with the part already ordered.

Try it below. Sample company: Larkspur Foods (fictional).

Maintenance monitorPlant and equipment · sample company
Demo
Pick what happens next

What lands with your team

Unplanned stops cost far more than planned ones: idle staff, missed orders and rush parts. This flow turns small signs of wear into a scheduled job, so repairs happen when it suits you, not when the machine decides.

0sensor readings checked
0problems caught early
0unplanned stops

Sample company and sample numbers, for illustration.

How it works

Starts when
Readings from your equipment, such as vibration, temperature, power draw or run hours, drift away from normal.
Runs automatically
Watching every reading against each machine’s own normal; estimating how long until it is likely to fail; creating the work order; checking the part is in stock and ordering it; finding the next planned downtime slot.
Where AI helps
Recognising wear patterns in the readings and service history, and explaining in plain language what is likely wearing out and how soon.
Where you’re in charge
Your maintenance lead approves every job and its timing, and can always overrule the estimate.

What stays with a person

  • Approving when a machine comes down for repair
  • Safety decisions, such as stopping a machine immediately
  • The repair work itself
  • Deciding which machines are worth monitoring

What’s included

  • Connecting your existing sensors or adding low-cost ones
  • A normal pattern learned for each machine
  • Failure estimates with a plain explanation
  • Work orders, parts checks and ordering
  • A weekly equipment health summary
  • Runs on: your sensors or PLCs, a maintenance system such as MaintainX, Limble or Fiix, your ERP, Teams or Slack
Build size L · larger

Questions teams ask

Do we need new sensors?
Often not. Many machines already record what we need. Where they don’t, low-cost vibration and temperature sensors are usually enough.
What if the estimate is wrong?
It gives a range, not a date, and your lead makes the call. Every real outcome is fed back, so the estimates get better over time.
Is it only for factories?
No. It works for anything with a motor or a compressor: kitchens, cold rooms, fleets, HVAC and lifts.

Want this for your team?

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