Executive summary
A method for measuring what an AI investment would actually change, before anyone estimates what it will save.
What is inside
What the baseline diagnostic covers
The asset walks a diagnostic lead through framing the target process, building the evidence inventory, running a time study, computing cost per completed task, separating handling from waiting time, grading claims, and signing off the baseline. It ends with a diagnostic questionnaire, an evidence inventory, and a baseline sign-off checklist.
- Framing the work an AI investment is meant to change
- Measuring volume, touch time, waiting time, and rework
- Computing cost per completed task from measured data
- Separating paid time from elapsed time
- Grading vendor and internal claims against evidence
- An evidence inventory and gap register
- A baseline sign-off before any business case is built