Quantify the productivity uplift from a shop-floor AI assistant trained on your SOPs, manuals, and shift logs.
Quick Answer
This calculator estimates productivity value from a factory-floor AI assistant, using your own operator count, shift pattern and time spent finding answers. The default time saving is a planning assumption to be replaced with a measured sample, not a published benchmark; results depend on knowledge-base quality and whether answers are trusted on the floor.
Inputs
Results
Illustrative estimate only — not a quote, forecast, guarantee or verified customer outcome. Replace every default and assumption with your own approved baseline before making an investment decision.
Book a Strategy CallFor a decision-grade business case, replace the assumptions with approved operating and cost data.
Assumptions
Direct answers
Sample it rather than estimate it. Over one or two weeks, have a representative group log each time they stop work to find a procedure, drawing, parameter or past fix, and how long it took. A short measured sample is far more defensible than a workshop guess.
Current SOPs, equipment manuals, maintenance history and past troubleshooting records, with clear ownership of which version is authoritative. An assistant answering from superseded documents is worse than no assistant, because it is trusted.
Require answers to cite the source document and section, and design an explicit no-answer path that routes to a person. On the floor, an assistant that says it does not know and escalates is what earns trust; confident wrong answers destroy adoption quickly.
Not automatically. Minutes recovered across a shift become capacity only if the constraint is labour availability. Where the bottleneck is equipment, the value shows up as faster fault resolution and less downtime instead — a different calculation from the one here.
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