Repetitive work rarely shows up as a single line item. It hides inside dozens of small steps — copying data between tools, reformatting spreadsheets, chasing approvals — that each feel trivial in isolation but compound into enormous, invisible cost.
When Autostep observes a process end to end, it captures the real sequence of actions, the time between them, and the people involved. That lets us compute a fully-loaded cost: not just salary-per-minute, but context switching, error rework, and the opportunity cost of skilled people doing unskilled work.
The result is almost always surprising. Teams that estimated a workflow cost a few hours a week discover it consumes several full days once every handoff and retry is counted. Seeing that number is what turns "we should automate someday" into "we are automating this now."
The lesson: you cannot prioritize what you cannot measure. Discovery and costing come first — automation is the easy part once the economics are clear.