Organizations running AI workflows today have speed. What they don't have is memory, governance, or continuity. When something goes wrong there is no record of why it was approved, who decided, or when the drift started.
The models are not broken. The structure around them is missing. Every organization deploying AI in production is accumulating unstructured decisions — approvals in chat threads, overrides nobody documented, institutional knowledge that lives only in the people who happened to be in the room.
When your best operator leaves, so does the reasoning. That is a structural problem, not a personnel one.