The three options compared on who answers, hours, simultaneous calls, what gets booked or captured, judgment on unusual calls and cost at 100, 300 and 1,000 calls a month, plus the hybrid most businesses end up with.
An answering service is a call centre that takes messages, a virtual receptionist is a person who handles scheduling and screening from your script, and an AI receptionist is software that answers every call at once, books against your calendar and writes to your systems, transferring to a person when its rules say so. Most businesses end up with a hybrid. See the AI receptionist voice agent and pricing.
"AI receptionist", "virtual receptionist" and "answering service" are used interchangeably in ads, but they are three different products with different cost models and different failure modes.
| Answering service | Virtual receptionist | AI receptionist | |
|---|---|---|---|
| Who answers | Call-centre operator | Trained receptionist | AI voice agent |
| Hours | Often 24/7 | Business hours or extended | 24/7 |
| Simultaneous calls | Limited by staff | Limited by staff | Unlimited |
| What it does | Takes messages, basic scripts | Scheduling, FAQs, screening, transfers | Scheduling, FAQs, intake, CRM writes, transfers |
| Judgment on unusual calls | Some | Yes | Only within its rules; transfers the rest |
| Consistency | Varies by operator | Varies by receptionist | Identical on every call |
| Data captured | Message | Message or booking | Structured fields and transcript |
| Cost model | Per minute or per call | Minute bundles | Flat monthly or per minute |
| Cost at high volume | Rises with volume | Rises with volume | Flat until the included minutes run out |
Choose a traditional answering service when you need a human voice for a small number of after-hours calls and a simple message is enough: "call this person back in the morning." It is the simplest option and the least capable one. The weak points are surge nights, when queues form, and the lack of structured data, which means your team still re-keys every message.
Choose a virtual receptionist when callers need a person who can make small judgment calls, when your brand depends on a warm human greeting, and when volume is steady and modest. Professional-services firms and medical practices with complex front-desk rules often land here. The trade-offs are cost that grows with minutes, limited concurrency, and variation between receptionists.
Choose an AI receptionist when you miss calls because of volume, after-hours or peak seasons; when booking during the call matters; when you want every call to produce a record in your calendar and CRM; and when your call types are predictable enough to script. It is the only option that answers the first and the fortieth call at the same time, and the only one whose cost does not rise with every minute on a busy day. The trade-off is judgment: anything outside its rules has to transfer to a person, so you need an escalation path.
Botcadence's AI receptionist runs on the inbound voice agent channel on the Voice AI plan at $249 a month with 1,500 minutes included, and the same agent can cover after-hours answering; see pricing.
The common pattern is not either-or. The AI receptionist handles the first contact on every call, around the clock, and books or captures what it can. Calls that need judgment transfer to a person, who sees the transcript and the captured fields. That person might be your own staff during the day and a virtual receptionist or answering service after hours. The AI absorbs volume; the humans handle exceptions.
Rather than quoting vendor rates that change, do the arithmetic with your own numbers:
At 100 calls a month the human options are often cheaper. At 300 calls the lines cross for many businesses. At 1,000 calls a flat software plan is usually a fraction of the staffed options, and it is the only option that did not queue callers. The AI answering service pricing guide walks through the models in more detail.
If the answers point to volume, after-hours and booking, start with an AI receptionist and add human coverage for the exceptions. If they point to a small number of delicate calls, start with people and add software when volume grows. Either way, run the same five test calls through each option before deciding; see how to choose an AI voice agent for the checklist.
Questions readers ask
A virtual receptionist is a person, usually from a shared pool, following your script. An AI receptionist is a voice agent: unlimited simultaneous calls, identical handling every time, structured data in your CRM, and transfers to a person for anything outside its rules.
When you have a small number of delicate calls that need human judgment, volume is steady and modest, and a message is enough. Surge nights and structured data capture are its weak points.
At around 100 calls a month human options are often cheaper; at 300 the lines cross for many businesses; at 1,000 a flat software plan is usually a fraction of staffed options. Do the arithmetic with your own call count and average length.
Yes, and most businesses do: the AI receptionist answers first contact around the clock and books or captures what it can, and calls that need judgment transfer to your staff, a virtual receptionist or an answering service with the transcript attached.
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