Are smart agents accidentally masking broken workflows?

When an ai bot automatically patches an error every single morning like fixing missing order data it seems like a huge win. but the core issue never gets solved at the root cause.

A human worker would get annoyed and report the bug after a few days, while an agent just quietly fixes it thousands of times without anyone noticing the system is actually broken upstream.

How do you track these repetitive background fixes so automation doesn't hide core product bugs?