What it is
This is not a broad audit and it is not a vague discovery phase. It is a short sprint around one commercially relevant use case. Think booked vs invoiced revenue reconciliation, duplicate customer matching across CRM and billing, or one reporting workflow that keeps arriving late because the sources never line up cleanly.
The scope stays intentionally tight so the result can be judged honestly. Either the signal is there and the case for a Core build becomes clear, or it is not and you learn that early.
What you get at the end
- A working prototype built on real data for one narrow use case
- A short scope report covering what held up, what broke, and what a production build would require
- A clearer go / no-go decision on the larger implementation
- A practical path into a Core build if the proof is strong enough
What makes it a better first step than a broad audit
Most teams already know the broad shape of the pain. The reports do not match. The customer view is fragmented. The dashboard is late or unreliable. What they do not know is whether one specific workflow can be fixed cleanly enough to matter. That is the question the Mini PoW answers.
A good first engagement should leave you with more than diagnosis. It should leave you with proof, constraints, and a sharper commercial decision.
Typical use cases
- Reconcile one disputed revenue or margin view across sales and finance
- Identify duplicate customer or supplier records across two or three systems
- Tighten one monthly reporting workflow that still depends on spreadsheet stitching
- Test whether one operational dashboard can be rebuilt on cleaner source logic
What happens after the sprint
If the use case proves out, the next move is usually a Core build: a production-grade system with connected inputs, cleaner entity matching, stronger monitoring, and a reliable operational output. If the signal is weak, you still leave with a grounded understanding of why, which is far more useful than funding a larger project on hope.
The point of the Mini PoW is not to be dramatic. It is to remove ambiguity before more budget and more complexity arrive.