Approval by exception
Approval by exception is a supervision model where AI actions proceed automatically when they fall inside pre-agreed rules, and only the cases that break a rule get routed to a human. Instead of reviewing everything, people review the exceptions — the odd, risky, or ambiguous items the system flags.
Reviewing every AI output doesn't scale past a few dozen items, and that's exactly where events operate — hundreds of exhibitor emails, thousands of attendee records, endless small decisions. Approval by exception keeps humans in charge without making them a bottleneck. You define the safe envelope up front: an agent may send renewal reminders using approved templates, to exhibitors below a certain contract value, in your two main languages. Anything inside the envelope flows. Anything outside — a key account, an unusual discount request, a message the tone-checker flags — lands in a human queue with context attached. Event teams apply this to outreach approval, refund handling, data corrections, and content publishing. The design work is in the rules: too loose and risky items sail through; too tight and everything becomes an exception, which is just full review with extra steps. Start tight, measure what actually gets flagged, and widen the envelope as the false-alarm rate drops. The honest caveat: exceptions are only as good as the checks that raise them. An agent can't flag a problem it wasn't taught to look for, so pair this model with an audit trail and periodic sampling of the "approved automatically" pile. That random sample is your early-warning system for rules that have quietly gone stale.
Direct answer
Approval by exception is a supervision model where AI actions proceed automatically when they fall inside pre-agreed rules, and only the cases that break a rule get routed to a human. Instead of reviewing everything, people review the exceptions — the odd, risky, or ambiguous items the system flags.
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