Short answer
An intent confidence threshold is the minimum certainty an intent classifier must reach before its prediction is trusted enough to act on automatically. Below the threshold, the message routes to a human. At or above it, automation can proceed.Every intent classifier outputs a confidence score alongside its prediction. The threshold is the line you draw on that score. Set it too low and the system acts on shaky guesses, producing confident wrong answers. Set it too high and you automate almost nothing. The right threshold is the one that keeps automated answers trustworthy while still covering real volume, and it is most useful when confidence scores are calibrated, meaning the score genuinely reflects the chance of being correct.
At Aide, the AI platform for customer service, the confidence threshold is a deliberate safety gate, not a tuning knob for inflating deflection. Confidence scoring is part of the Customer Intent Engine, and the threshold decides what crosses from human handling into verified automation. A sub-threshold classification never gets auto-answered: it goes to a person for review, with the confidence score and the routing decision kept on the record. Thresholds and scores stay visible, so where the AI is sure and where it defers is never a mystery.