A Manufacturing business where this lands in Operations.
02 — What is actually going wrong
Machines are maintained on a calendar and fail on their own schedule. You are simultaneously servicing equipment that did not need it and getting caught by the one that did. An unplanned stoppage mid-run costs the repair, the idle labour, the late delivery and the customer's confidence.
Sensors on the critical machines stream vibration, temperature and current draw. A model learns each machine's normal signature and flags the drift that precedes failure, with enough lead time to schedule the intervention into a planned window instead of a crisis.
Unplanned downtime hours fall while total maintenance spend stays flat or drops, because work moves from calendar-driven to condition-driven. Maintenance stops being an emergency function.
03 — The problem, in money
04 — The options
06 — How this goes wrong
07 — How you would actually do it
09 — Run it on your numbers
Start from the stated assumptions, then drag the inputs to match your business. The number moves live.
10 — The evidence · what others report
Reported numbers are third-party claims, source-attributed — not verified by me, and never blended into the model above.
11 — Questions owners ask
Get your free AI Opportunity Score — the same first pass used to identify which opportunities deserve a closer look.
Get Your Free Score05 — The call
Build it. A custom system is the right move here — the payback justifies owning it rather than renting a compromise.
08 — Tools worth looking at
Named for orientation, not endorsement. No affiliate arrangements, and nothing here has been paid for.
