Scale spikes

Survive launch days and Black Friday without a meltdown

AI absorbs the surge of repetitive questions, and the chats that need a person reach your team with the conversation so far. The peak ends and your team isn't burned out.

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Last reviewed 2026-10-23

How Replyze fixes it

4 changes, one setup

  1. 1AI absorbs the repetitive bulk of peak volume
  2. 2Decide before the peak what goes to people
  3. 3Alerts for the chats that need a person
  4. 4Peak answers written before the peak

The AI absorbs the repetitive surge, so your team works on the chats that need a person.

Sound familiar?

  • Black Friday turns into a 72-hour death march for your support team.
  • Product launches bring a flood of chats, mostly the same handful of questions.
  • Hiring temp staff for peaks doesn't pay back — onboarding eats the savings.
  • After every peak the team burnout costs you a team member.
  • The next peak is on the calendar and you're already dreading it.

The fix

How Replyze fixes it

AI absorbs the repetitive bulk of peak volume

Peak volume is mostly the same handful of repeated pre-sale and policy questions — perfect AI territory. Your team only sees the actually-complicated remainder.

Decide before the peak what goes to people

There's no confidence dial to turn: the AI answers from your articles, says when it doesn't know, and hands chats to your team when the visitor asks or the topic is one your setup sends to people. Before the rush, check those topics and write the articles for the questions you expect.

Alerts for the chats that need a person

With the AI answering the routine questions, your team is alerted when a chat is handed over, in the app, by email and by push notification, and picks it up from one shared inbox with everything said so far.

Peak answers written before the peak

Add articles for the questions you expect, such as delivery cut-off dates, the holiday returns window or launch details, before the rush. The AI answers from them as soon as they're published, and you can update them during the peak.

Dig into the features:AI agent details

What to expect

What changes in the first weeks

  • The AI absorbs the repetitive surge, so your team works on the chats that need a person.

  • Team burnout cycle broken: peak ends, people are tired but not destroyed.

  • After the peak, the 'where's my order?' and returns-policy questions your articles cover still get answered at once.

See every feature

FAQ

Common questions

Not covered here? Ask in the chat on this page. It's the real Replyze widget: the AI answers right away, and our team picks up anything it can't.

Two weeks out is the right window for structural prep — auditing top questions, tightening AI rules, setting the rotation. The week before is too late for the high-leverage stuff.

Not with a dial: Replyze doesn't hand chats over on low confidence. The AI answers from your articles, says when it doesn't know, and the visitor can tap 'Talk to an agent' at any time; topics your industry setup sends to the team go there automatically. The useful prep is writing articles for the questions you expect, so fewer chats need a person in the first place.

Don't disband the prep early. The week after a sale event brings a second wave, mostly post-purchase questions (where's my order, return policy). The AI handles the repeated policy questions (returns, delivery timelines, tracking help) from your own content; account-specific ones still go to your team.

Maybe — for a contractor at part-time hours (10-15 hours/week) it can pay back, but only if you've already done the AI + workflow prep. Without those, an extra human just hits the same overwhelmed system at a higher cost.

How many chats are waiting for a reply from your team, and for how long. If that number keeps climbing through the day, your rotation isn't keeping up.

Let AI answer the questions you get every day

Teach it your answers, pick your colours and add it to your site. When a customer needs a person, your team takes over.

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