What is a ai receptionist?
How it works
AI receptionist in four steps
No implementation project. Most teams are dialling the same day they sign up.
- 1
Set the greeting and the rules
Your business name, hours, services, prices, and the handful of questions people always ask. Anything it should never promise, you write down once. - 2
Choose when it answers
Always, after hours only, or as overflow when every human line is busy. - 3
Connect the calendar
The receptionist books directly into your real availability rather than promising a slot someone has to confirm later. - 4
Get the handover
Every call arrives as a transcript, a summary, and a next action, in your inbox, your CRM, or a text to whoever is on call.
Capabilities
What you get
Answers on the first ring, every time
Books real appointments
Knows your business
Escalates properly
What an AI receptionist should do with a call it cannot finish
Most evaluations focus on the calls an AI receptionist handles. The ones that decide whether customers trust it are the calls it cannot. A receptionist that loops, apologises and re-asks is worse than a voicemail box, because the caller has now spent two minutes discovering that.
- Recognise the limit fast. Two failed attempts at the same intent is the signal to stop trying, not to rephrase again.
- Capture before handing over. Name, number, and the reason in the caller's own words — so the person who picks it up starts informed.
- Say what happens next, with a time. "Someone will call you back within the hour" is a commitment the system can keep or break; "as soon as possible" is neither.
- Never promise a transfer it cannot make. If nobody is available, offer a callback rather than a hold that ends in nothing.
Where it genuinely beats an answering service
A human answering service is better at judgement and worse at everything measurable: it costs per call, it has its own queue at peak, and the notes arrive as free text somebody has to read. An AI receptionist answers on the first ring at 3am and at lunchtime with equal patience, and it writes structured data rather than a message.
The honest limit is that it is only as good as the routing behind it. An AI receptionist in front of a team with no availability rules and no callback discipline just automates the point at which callers are disappointed.
Fit
Who a ai receptionist is right for
If none of these describe you, a different mode probably fits better; the comparison pages lay out the trade-offs honestly.
- Clinics, salons, and trades where the phone rings while you are with a customer
- Restaurants taking bookings during service
- Property managers and law firms handling after-hours enquiries
- Any business currently sending callers to voicemail
Frequently asked questions
How is this different from an answering service?
What happens if it cannot answer something?
Can it handle several calls at once?
Sources
- Telemarketing Sales Rule — Federal Trade CommissionDo-not-call obligations, abandonment-rate limits for predictive dialing, and required call disclosures.
- 47 U.S.C. § 227 — Restrictions on the use of telephone equipment — Cornell Legal Information InstituteThe Telephone Consumer Protection Act itself — the consent requirements, calling-hours limits, and private right of action.
- Combating Spoofed Robocalls with Caller ID Authentication — Federal Communications CommissionThe STIR/SHAKEN framework, the attestation levels carriers sign calls with, and the mandate requiring providers to authenticate caller ID.
Try ai receptionist without a contract
No seat licences, no minimum commitment. Add a number, top up a wallet, and start. Release the number whenever you like; your remaining balance stays yours.
- No subscription
- Owned numbers with Attestation A
- Compliance built in