"Live chat" and "AI agent" often appear on the same pricing page, so it's easy to treat them as the same thing with different labels. They're not. They solve different problems, and the best setups use both.
Live chat: a window to your team
Live chat is a messaging window on your site connected to people. A shopper types, a teammate replies. Good live chat tools add routing, saved replies, typing indicators and a shared inbox.
Where it wins: nuance, judgement and empathy. A person can bend a policy, read frustration between the lines, and make a call on an unusual request.
Where it struggles: coverage and speed. Your team sleeps, takes breaks and gets busy. Response time grows with volume, and the same twenty questions eat most of the day.
AI agent: answers and actions on its own
An AI agent reads the customer's message, finds the answer in sources you approve and replies straight away. A capable agent can also act, for example looking up an order, recommending products with live stock, or starting an exchange after the customer confirms.
Where it wins: instant, consistent answers at any hour and any volume, across channels.
Where it struggles: anything outside its sources or rules. A well-built agent knows this and hands off; a poorly built one guesses.
The old chatbot is neither
Many people's picture of "chatbot" is the decision-tree bot from a few years ago: buttons, fixed paths and "Sorry, I didn't understand that." Modern AI agents understand free text and can hold a conversation, but the lesson from those bots still applies. If the system can't do the job, it should get out of the way quickly.
A side-by-side view
| Live chat | AI agent | |
|---|---|---|
| Who replies | A person | Software, grounded in your data |
| Speed | Depends on staffing | Seconds |
| Hours | Your team's hours | Always on |
| Best at | Judgement, exceptions, empathy | Repetitive questions, lookups, routine actions |
| Risk | Slow replies at peak | Wrong answers if not grounded |
| Scales with | Headcount | Usage |
Use both: AI first, people when it counts
The practical answer for most stores is an AI agent at the front and live chat behind it:
- The agent answers product, order and policy questions instantly.
- It hands off on rules you set, such as "talk to a person", refunds over a value or signs of frustration.
- A teammate picks up in the same thread with the transcript and a summary.
- When the person is done, the agent can handle routine follow-ups again.
The customer doesn't experience two systems, just one conversation that's fast when it can be and personal when it should be. That's how LiveCart is built: an AI agent and a shared inbox on one thread, with handoff in between.
How to decide what goes where
Go through your last fifty conversations and mark each one:
- AI can answer from a document you already have: shipping times, return windows, size charts.
- AI can act with a store connection: order status, stock in another size.
- Needs a person: disputes, damaged items, custom orders, emotional situations.
The first two groups go to the agent. The third becomes your handoff rules. Revisit the list monthly; as you add sources and workflows, more moves into the first two groups.
