01
Stop starting with the technology cost
Most IIoT business cases open with the cost of gateways, licences, and integration, then hunt for benefits large enough to cover them. That framing almost guarantees a weak case, because the benefits get estimated optimistically to close a gap.
Invert it. Start with a loss you can already measure from existing records, and size the investment against that.
02
Three numbers you probably already have
Unplanned downtime hours, energy spend per production unit, and scrap or rework rate are usually recorded somewhere in the business, even if only in spreadsheets or maintenance logs. Each has a direct rupee value, and each responds to visibility.
A credible case says: we lost this many hours last year, attribution is currently guesswork, and instrumentation costs a fraction of a single major stoppage.
03
Be honest about the timeline
Visibility returns arrive within months because they change decisions immediately. Genuine predictive maintenance takes longer, because a model needs to observe enough failures to be trustworthy, and most equipment fails infrequently by design.
Business cases that promise predictive savings in quarter one tend to erode trust when they miss. Promising attribution first and prediction later survives contact with reality.
Written by the ASKworX engineering team