An answering service takes a message, while an AI receptionist books the job.
With a traditional answering service, a person reads your script, writes down the caller's name and number, and passes it to you. You still have to call back, and the customer may have hired someone else by then.
An AI receptionist has the conversation itself. It asks what's wrong, checks your schedule and puts the visit on the calendar during the call. You get the booking, not a callback list.
| Answering service | AI receptionist | |
|---|---|---|
| Who picks up | A person reading your script | An AI that says it's an AI |
| What you get | A message to call back | A booked visit, emailed to you |
| What it answers from | Your script | Your business's own information |
| An emergency | Passed on as your instructions say | Sent to your team right away, under your rules |
| A caller who wants a person | Already talking to one | Passed to your team |
When an AI receptionist makes more sense
When calls come in after hours, on weekends and while your team is on jobs, and the job goes to whoever answers first. When you want the call to end with a booking, not a note.
How to choose
- Count what you miss. Look at your missed calls and voicemails for a week. When do they come in?
- Decide what a good call ends with. A message, or a time on the calendar?
- Ask about emergencies. What does each option do with an urgent call at 2 a.m.?
- Ask about prices. Does it only say prices you've given it?
- Ask about a person. How does a caller who wants a human reach your team?
- Test both. Call each one as a customer would, after hours.
Some shops use both: a person during the day, an AI receptionist for nights and weekends.