Context.
The model gets what a good employee would need for the task: company data, rules, history.
Memory.
Results and corrections are stored in the database. The next run reads them instead of guessing again.
Tools.
Where a model would guess, it looks things up: in the shop, the registry, the accounting system.
Data flows.
Every value has a producer and a reader. What nobody reads does not get built.
Cross-checking.
A second model checks what the first produced. What fails the check does not go out.
A person decides.
Anything that moves money or leaves the building is confirmed by someone.