What if the system makes a mistake? Who's responsible?

Every automation has a confidence threshold, a human-in-the-loop fallback for edge cases, and a full audit trail of what it did and why. We start with low-stakes, high-volume work and only widen the scope once a process has proven itself. If something does go wrong, you'll see it in the dashboard before it costs you. There's also an off-switch on every automation we build.

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