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.

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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
Operator workflow

What your team sees after launch.

  • Dashboard controls for bot setup, AI start screen, pricing, and training sources
  • Reply testing before you expose new behavior to visitors
  • Handoff logs and live support continuity when a person needs to take over
  • Room to keep improving the rollout instead of treating setup as a one-time project
Three habits that make AI work better
Keep the first screen specific

The more specific the greeting and prompts are, the easier it is for visitors to ask the right questions.

Train from real support material

Use actual FAQs, known objections, and support language instead of generic placeholder content.

Review escalations regularly

Handoffs show you where the bot still needs more content, stronger prompts, or a better fallback path.

Ready to see it live?

Launch fast, then improve with real feedback.

MyLiveChat is built for teams that want AI speed on the front line and live support confidence behind it.

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