Why peak is the tempting moment
The business case is never clearer than during the week when volume triples and everyone is drowning. That is exactly why teams reach for a deployment then, and exactly why it usually goes badly.
Peak is the least forgiving environment
Volume is highest, customer patience lowest, and nobody has time to review output or handle escalations. Every assumption that holds in a quiet week is tested simultaneously, and rate limits and provider load behave differently too.
Deploy in the quiet season for the busy one. Deploying during peak is learning on the worst possible day.
Deploy in the trough, scale into the peak
Run it through a quiet period, let the corrections flatten, then let volume grow into a system that already works. That is the same sequencing logic as expanding only when corrections stop.
Peak questions differ from ordinary ones
Seasonal businesses get seasonal questions — cut-off dates, availability, delays — which are absent from the knowledge base built in March. Those need writing before the season, not during it.
Escalation capacity is what actually caps you
Automation increases the number of conversations, and a percentage still escalate. If your human capacity is already saturated, the hand-off has nowhere to land and the whole system stalls at its most visible moment.
Decide what to switch off
Have a defined reduced mode for the worst hour: acknowledge, capture, and promise a human, rather than attempting full resolution. Deciding that in advance is the designed degradation that keeps a bad hour from becoming a bad week.