AI rollout walkthrough

How MyLiveChat works when you want AI and humans in one support flow.

The rollout is simple on purpose: create the bot, add the widget, train the answers, and launch with a clean path to human handoff. Then keep improving as you learn from real conversations.

No credit card 60-second setup Cancel anytime
MyLiveChat AI widget preview
Launch controls
Greeting + prompts

Set the first screen, suggested questions, and disclaimer before visitors ever see the bot.

Support model
AI + humans

Let AI handle fast first responses and bring in a person when the conversation needs judgment.

1

Create the bot

Set the bot name, choose an avatar, write the greeting, add starter prompts, and decide how the AI should introduce itself.

2

Add the widget

Install the snippet on your site, preview the placement, and compare how the experience feels on live pages before rollout.

3

Train the answers

Use website pages, FAQs, and text training so the assistant responds with your company context instead of generic filler.

4

Launch and refine

Go live, review handoff cases, tighten weak answers, and keep improving as real visitors teach you what matters most.

What visitors experience

A clear first response, with a safer path to a human.

Visitors see the launcher, AI start screen, greeting, and suggested prompts first. If AI can answer, it responds immediately. If the situation needs a person, the conversation can continue through the same support flow with transcript context intact.

Before the first reply

Greeting copy, starter prompts, and disclaimers shape expectations before the customer asks anything.

When the bot should step back

Handoff exists so sensitive or high-value moments can move to your team instead of forcing risky AI guesses.

MyLiveChat team collaboration
Before you install

Three decisions that are cheaper to make now than later.

Installing the widget takes a minute. Deciding what happens after a visitor types into it is the part that determines whether chat helps or quietly embarrasses you, and it is much easier to settle before the first real conversation than during it.

The three decisions are always the same. Who answers, and what else are they supposed to be doing at that moment. Which hours you are honestly available, and what the widget says outside them. And what the AI assistant is allowed to answer on its own versus what it should hand to a person immediately.

  • Name one owner, not a rota of people who might notice the notification
  • Write the real hours down, then make the widget agree with them
  • Decide the handoff line before launch: billing, cancellations, anything account-specific
  • Draft five canned responses for the questions you already know are coming

Live chat launch checklist Who should own live chat After-hours strategy

Installing it

What the snippet does, and what to check when it does not appear.

The install is a single script tag placed just before the closing body tag of your template. It is marked async and defer, so the browser fetches it off the critical rendering path and it does not block your page from painting. One snippet on one shared template covers the whole site.

When a widget does not show up, the cause is almost always one of three things, and all three are visible in the browser console rather than mysterious. A Content Security Policy that does not allow our host will block the runtime outright, and blocking it on styles instead of scripts produces the confusing version where the widget mounts but looks wrong.

  • Content Security Policy must allow *.mylivechat.com on both script-src and style-src
  • An http snippet on an https page is mixed content, and the browser drops it silently
  • The widget renders inline in your page rather than in an iframe, so an aggressive global CSS rule on your site can restyle it
  • Check a cached CDN copy of your template before concluding the snippet is missing

How to add live chat to your website Does live chat slow your site down?

The first two weeks

Read the conversations before you change anything.

The most useful thing you can do after launch is unglamorous: read the transcripts. Not a sample dashboard, the actual conversations. Two weeks of real chats will tell you which page confuses people, which question repeats until it deserves a canned response, and which answer your AI assistant is getting almost right.

Changes made from that reading stick, because they are answers to something a customer really typed. Changes made from a hunch tend to be reverted a month later. Set a recurring half hour, take a deliberate sample rather than scrolling from the top, and write down one change per week.

  • Two of the longest chats, two that ended unresolved, two at random
  • Turn every third-repeat question into a canned response
  • Feed the questions the AI missed back into its trained content
  • Fix the page the question is really about, not just the answer

The 30-minute weekly review Your first week with live chat Canned responses that work

Humans and AI together

The handoff is the feature, not the fallback.

An AI assistant that answers everything is not the goal, and a team that answers everything is not affordable. The arrangement that works is narrow: the assistant handles the questions your published content already answers, and everything touching an account, a payment or a promise goes to a person with the conversation history attached.

Because the assistant is grounded in content you supply rather than general knowledge, the honest way to widen its scope is to publish better content, not to loosen its instructions. It also replies in the visitor's own language when it can tell what that is, which quietly removes a barrier on international traffic.

  • Let the assistant own the repetitive, published-answer questions
  • Route account, billing and complaint conversations to a person from the first message
  • Keep the transcript with the conversation so the visitor never repeats themselves
  • Review what the assistant answered weekly, the same way you review agents

When not to use AI in live chat Fallback and handoff design Reviewing AI chat answers

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