Process design · honest scoping

The useful answer is usually which steps not to automate.

Describe something your business does by hand every week. You get back the steps as they actually happen, each one marked automate, assist or keep human — with the reason, and with what breaks when it breaks.

If you tell it how often the process runs and how long it takes, it works out the hours. That arithmetic happens in code, not in the model — it is the one number anybody checks, so it is a function with tests rather than a sentence an AI produced. Give it no volume figures and it gives you no estimate at all.

Your process

Your description is sent to be planned and then discarded. Nothing is stored, and the text is never logged.

Plain English, as you would explain it to a new starter. Mention who does what, where things get stuck, and what happens when something does not match.

Volume — optional, but it is what turns this into a number

Left blank, you get hours and no money figure. We will not guess a rate.

Why it hedges

The sums are code

The model reads your process and classifies the steps. The multiplication happens in a tested function, because a model doing it silently is wrong occasionally and confidently.

No figures, no estimate

Without a frequency and a duration there is nothing to compute, so nothing is shown. Not a range, not an illustration.

Every step has a failure mode

A plan that only describes the happy path is a sales document. What happens when it breaks on a Friday night is the question worth answering.

Conservative on purpose

Automated steps are credited with removing 90% of their time, not 100%. Something still has to notice when it stops working.

The tools this connects already exist and can be tried: document extraction for the retyping steps, the support agent for the answering ones, the site check for the monitoring ones. Tell me which process is costing you most and I will say honestly whether it is worth building.