The approval came through in Teams at 10:14 AM. The purchase order didn't hit the ERP until someone rekeyed it by hand at 2 PM. Four hours between yes and the system actually knowing about it. That's the fast version of this story.
Definition
The approval writes to the ERP. No rekeying, no second person, no gap between the decision and the transaction. The approval is the trigger.
Execute is the layer most AI pilots quietly skip. A recommendation engine can rank exceptions perfectly and still leave a human to manually re-enter the approved action into the ERP. That kind of "automation" saves zero minutes on the step that actually matters. Execute only counts when the approval itself is the trigger that writes the transaction, with nobody typing it in twice.
Why does an approved decision still need someone to re-key it?
Most AI and BI tools stop at the recommendation. They rank the exception, surface it to a person, and consider the job done once someone clicks approve. But approving inside a dashboard and posting to the ERP are two different systems, and nothing connects them automatically. Execute closes that gap by making the approval itself the trigger for the ERP write, so there's no second person and no re-keyed transaction between the decision and the record.