AI receptionist vs virtual receptionist: what is the difference?

Where each term comes from

Virtual receptionist predates the current AI wave by two decades. It described a person, employed by an answering company, who picked up your diverted calls, followed your greeting script and took messages: a receptionist, just not in your building. UK companies built substantial businesses on exactly this model, and still run it well.

AI receptionist is newer and describes software that holds the call itself: answering questions from a knowledge base, booking appointments, taking messages, and transferring callers by rules. No human answers, which is why it can answer every call at once, at any hour, at a flat price.

The muddle is commercial: virtual receptionist is what people search for, so software products adopt the older term, and human services increasingly bolt AI onto theirs. The label on the tin has stopped telling you what is inside it.

Three questions that matter more than the label

First: who or what actually answers, a person, software, or software with people behind it? The pricing model usually reveals it, per-call for people, flat for software. Second: does it resolve the call or relay it? Taking a message for you to action later is relay; answering the question and booking the appointment is resolution.

Third: what happens outside office hours and when two calls land at once? Human services staff those situations, and it shows in the price or the coverage. Software does not notice them. Whichever answer you prefer, insist on hearing the service handle a call before you commit.

Where Kalvo stands

Kalvo is an AI receptionist: software answers, books, takes messages and transfers genuine emergencies to your own people. In the plain meaning of the words it is also a virtual receptionist, and if that is the term you searched for, everything on this site still applies. You can talk to it on the demo page, which settles the naming question faster than any article.