The cost of manual work
Tell us roughly how your work runs today. We'll estimate the hours lost each month - split into where they actually go. Then we get them back.
These figures use illustrative per-process rates to show the shape of the loss, not a quote. We calibrate them to your real numbers in the free workshop.
The method
Round numbers are easy to dismiss, so we don't use any. Every hour above is built from three things: how long a manual task actually takes, how often it happens, and how many people it touches. Here is the whole chain, with nothing hidden.
employees × manual processes × ~8 instances/mo × minutes per instance
The hours your team spends doing the manual steps. We cost one run of a process by its medium:
Frequency is a team-average 8 runs of each process per employee per month - deliberately low, because people specialize and most never touch a given process.
processes × 4 h + employees × 0.5 h, per month
The oversight a manual process needs because nothing reports itself:
Plus ~0.5 h per employee per month of supervising work the manual way.
instances × error rate × time to find and fix × handoffs
Rare per item, but expensive to chase down with no audit trail:
Rising 3% per employee - every extra handoff is another place a mistake can hide.
Calibrated conservatively. These defaults land near a tenth of a team's time, not a third. In the free Proof of Concept we replace these averages with your real volumes and times - and the estimate becomes a measurement.
Grounded in published research: knowledge workers lose ~1.8 h/day (McKinsey) to ~2.5 h/day (IDC) searching for and gathering information; manual data-entry error rates run about 1-5%. We sit at the low end of both.