Every number knows what it is
Currency, per-unit, per-week, a percentage, a headcount, an FX pair. Add two things that do not add and the model refuses, there and then.
Your model is built on something that knows what business numbers mean: that euros and euros-per-unit do not add, that percentages do not sum. So when AI builds or changes anything, the model checks it and hands back what fails. It does not have to be right first time.
Currency, per-unit, per-week, a percentage, a headcount, an FX pair. Add two things that do not add and the model refuses, there and then.
Rates weight instead of summing. Averages carry their weighting. Allocations reconcile to their totals. A blank is a blank, never a zero.
Every draft is checked against these rules and handed back with what failed and why. It revises until it passes. You only ever see the version that passed.
The customer rebate, the plant tariff, the one-quarter carve-out: scoped, dated, owned, visible in every number they touch, and they expire instead of living in a cell forever.
Not because it is always right. Because being wrong is caught immediately, in a way that is specific enough to fix. The model is the reviewer, and it never gets tired or waves something through.
This is an engine built for financial modelling, not a spreadsheet asked to behave like one. No exception is too small to be handled properly: the rebate that applies to one customer, the tariff at one plant, the quarter that was accounted for differently. Bring the messiest part of your model to the demo.