Most AI projects start too broad. They try to improve service, marketing, internal ops, and reporting in the same motion. The usual result is a long planning phase and very little actually going live.
We work the other way around. We pick one workflow that is repetitive, painful, and valuable enough to justify focus.
Why 10 days?
Ten days forces useful decisions:
- the systems and data have to be clear
- the exceptions have to be visible
- ownership has to be named
- measurement has to be agreed before the build starts
Ten days also fits real businesses. Companies do not need six weeks of diagrams to learn whether a shared inbox, booking exception flow, or document queue should be automated.
What belongs inside the sprint
- trigger and exception mapping
- automation build
- permissions and data hygiene review
- monitoring and dashboarding
- documentation and handoff
What is intentionally outside it
- vague AI strategy work
- too many departments at once
- tool-first selling
- endless polishing before anything is used
Narrow scope is not a compromise. It is the reason the project ships.