AI agents for LiveChat
A Monmo agent works around your LiveChat team, on the parts of chat support that pile up between shifts. It follows up on missed chats, tags the day's archives, rewrites canned responses that have gone stale, passes sales chats to your CRM and reports on chat ratings. It uses your own LiveChat login and asks before it messages a customer or changes anything.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in LiveChat
Follow up on missed chats
When a visitor left before anyone joined, it reads what they asked and the email they gave, then drafts a follow-up from Gmail or Outlook that answers the question. Each one waits for your approval.
AskEvery morning, draft email follow-ups for yesterday's missed chats where the visitor left an email address.
Tag the day's archives
Each evening it reads the chats that ended without a tag and proposes one, such as pricing, demo request, bug or billing, with the line that decided it. The tags are added once you allow the batch.
AskAt 6 every evening, tag today's untagged chats in the archives. Show me the list first.
Rewrite stale canned responses
It compares your canned responses with what people actually typed in recent chats, flags the ones that are out of date or never used, and drafts better wording. Saving the changes asks first.
AskWhich canned responses haven't been used in two months, and which ones quote old prices? Draft replacements.
Pass sales chats to the CRM
When a chat shows buying intent, it prepares a HubSpot or Salesforce contact with the company, the question asked and a link to the transcript. The record is created once you approve it.
AskFor yesterday's chats that asked about pricing or a demo, prepare HubSpot contacts with a note from the transcript.
Report on chat ratings and busy hours
Every Monday it reads last week's chat ratings and their comments with chat volume by hour, and builds a Google Sheets summary of when you were short of people and what drew poor ratings.
AskEvery Monday at 9, send me last week's rated-bad chats grouped by reason, and the busiest hours.
Brief the next shift
At shift change it posts a short note in Slack: chats still open, customers promised an answer by email, and anything a supervisor has to decide. Your team starts with context instead of scrolling back.
AskAt 14:00 and 22:00, post a handover in the support channel in Slack with open promises from the last shift.
Find what visitors ask before buying
It reads the archive for chats that started on your pricing or checkout pages, groups the questions and suggests what those pages should answer, so fewer people need to ask.
AskWhat did visitors on the pricing page ask in chat last month? Group the questions and suggest page changes.
How it connects
- 1You connect your own LiveChat login once. The agent sees the chats, archives and canned responses that login can see; some account-wide settings in LiveChat are kept for owners and administrators.
- 2You pick which agents use LiveChat. A support or sales agent that works through chat history needs it; you can let others ask that agent rather than giving everyone access.
- 3Reading chats, archives and reports is done without asking. Sending a message or email, adding tags, saving a canned response and creating a CRM record each ask first.
More in Customer support
Other apps of this kind that agents work in, each with its own page.
Watch it work
A sample replay with example data, sped up. Pause it, scrub through it, or take the mouse yourself. This sample shows a similar job in other tools; LiveChat is not on screen.
On screen
Gmail
Shopify
Google Sheets
Pick a job. Watch it get done.
- Order status6
- Returns3
- How-to2
- Need you3
- Why
- They follow your saved policies: order status, returns inside 30 days, care instructions.
- Where
- support@fieldwork.example · 11 customers
- What to expect
- Sends the 11 drafts. The 3 that need you are not sent.
Your team. Connected to everything.
Support log+Sample replays with fictional data, sped up. Pause one, scrub through it, or take the mouse yourself.
Questions people ask
Can an AI agent take over live chats in LiveChat?
Not in real time. A Monmo agent works alongside your chat team rather than inside each live conversation: it follows up on missed chats, tags archives, improves canned responses and reports on ratings. Live chats stay with your people, and anything it sends to a customer waits for your approval.
Can it read our LiveChat chat archives?
Yes, the archives your login can see. Ask a question in plain words, such as which product people asked about most in October, and the AI agent reads the matching transcripts and answers with counts and links. It reads through the LiveChat connection, or in its own browser when the connection does not cover something.
Can the agent move chat leads into HubSpot or Salesforce?
Yes, once you approve each batch. It reads chats that show buying intent, prepares the contact or lead with company, question and a transcript link, and checks for an existing record first so it does not create a duplicate. Nothing is created in your CRM until you allow it.
Will it change our canned responses for the whole team?
Only if you approve the change and your login is allowed to make it. The agent drafts new or rewritten canned responses and shows them beside the old ones. You choose which to keep, and it saves those through your LiveChat account.