The unusual case decides whether an automation is trusted — how to handle it properly.
Automations are demonstrated on the case that works and judged in production on the case that does not. Whether people trust the system is decided entirely by how the exception is handled.
Exceptions are not rare in aggregate
Each unusual case is uncommon, but there are many kinds, and together they routinely account for a substantial share of volume. A system designed only for the standard path therefore fails often enough to require a manual process running alongside it, which removes most of the benefit.
Fail visibly, never silently
The worst outcome is an automation that guesses when it is unsure and carries on. Explicit confidence thresholds, a queue for cases that fall below them, and a clear record of why each was held make the system trustworthy. Nobody minds a system that asks; everyone minds one that quietly gets things wrong.
Design the human's screen properly
The review queue is part of the product, not an afterthought. It should show what the system understood, what it was unsure about and the source document side by side, so a decision takes seconds. A badly designed queue becomes a backlog, and a backlog becomes a reason to switch the automation off.
Feed resolved exceptions back as training and test cases. Handled properly, the exception queue is how the automation gets better rather than where it goes to die.
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