// Success: Restoring Local Entropy

I fed the forensically analyzed logs back to the AI for a "second opinion." Its conclusion matched mine perfectly. The "smoking gun" was the MI subcontractor's poor API update practice: using a full payload update instead of a partial update.

I immediately notified the subcontractor and instructed them to modify the integration to use partial PATCH requests for status updates. The fix was deployed.

It has been over a month since that deployment, and we have not had a single recurrence of the data inconsistency issue. The system is finally achieving a state of localized entropy reduction.

In retrospect, using a polling mechanism was a flawed architectural choice from the start. We were constrained by the slow change-cycles of the legacy Java backend team and couldn't implement a more real-time integration.

But that begs a powerful question: Is there a way to achieve a completely real-time, low-overhead integration with MYOB without changing a single line of Java code?

The answer is yes. But that is another story.