AI receptionist vs answering service vs hiring: what’s right for a small business?

Why the phone still decides who wins the job

When someone calls a service business, they usually want something now: a booking, a quote, an answer. If nobody picks up, many simply call the next name on the list.

How many calls go unanswered? The figure you will see most often is 62%. It comes from a 2016 study by 411 Locals that tracked calls to 85 small businesses across 58 industries for 30 days: 37.8% were answered, 37.8% went to voicemail and 24.3% got no response at all. It is small and a decade old, so treat it as a signal rather than a benchmark; Oncrew’s review of missed-call data, which compares several datasets, suggests service businesses miss roughly 25% to 60% of inbound calls, depending on staffing, industry and time of day.

Either way, for a business that lives on bookings, a missed call is often a missed customer. That is the real choice behind this decision: not "AI or human", but how you make sure every caller gets an answer at a cost that makes sense.

The three options at a glance

What each option really costs

An in-house receptionist

The US Bureau of Labor Statistics puts the median receptionist wage at $18.27 an hour (May 2025), or $38,010 a year. That is before payroll taxes, benefits, training and cover for holidays and sickness. You also get only one conversation at a time and, usually, nothing outside office hours.

A human answering service

Answering services rent you trained receptionists by the minute or by the call:

• Ruby’s pricing runs from $250 a month for 50 receptionist minutes to $1,725 for 500 minutes, which works out at about $5.00 down to $3.45 a minute.
• Smith.ai’s pricing for its human receptionist plans runs from $300 a month for 30 calls to $2,100 for 300 calls, with overage of $8.50 to $11.50 a call.

They shine for low-volume, high-value calls, such as a law firm’s new-client intake. At higher volumes, the per-minute or per-call bill grows quickly.

An AI receptionist

An AI voice agent is assembled from several services, each billed by usage. Vapi’s published pricing shows how the bill is made up:

• Platform that runs the conversation: $0.05 a minute.
• Speech recognition (Deepgram) that turns the caller’s words into text: about $0.01 a minute.
• Language model (OpenAI) that decides what to say and do: about $0.008 to $0.045 a minute.
• Voice (ElevenLabs) that speaks the reply: about $0.015 to $0.024 a minute.
• Phone line (Twilio, inbound): about $0.008 a minute.

Vapi’s own estimator puts 1,000 minutes at $82 to $129 a month, roughly $0.08 to $0.13 a minute. Larger models and premium voices cost more: an independent cost breakdown puts heavier setups closer to $0.30 a minute. As an illustration, 300 calls a month averaging three minutes is 900 minutes, or about $74 to $116 in usage at Vapi’s rates. On top of usage you pay for building and maintaining the agent, either once or through a monthly arrangement.

What an AI receptionist can and can’t do

A well-built AI receptionist can:

• answer instantly, at any hour, and take several calls at the same time
• answer common questions about services, prices, hours and location from information you approve
• book, reschedule or cancel appointments directly in your calendar and send confirmations
• take detailed messages and log every call in your CRM
• transfer a call to a person when the request is outside its scope

Where it still needs people: callers who are upset, negotiations, and genuinely new situations. Modern voices sound natural in everyday calls, but someone who is emotional or invested will often sense the difference. The answer is not to avoid AI but to design a clean hand-off, so the agent knows exactly when to pass the call on.

Disclosure and privacy

In the EU, Article 50 of the AI Act has required, since 2 August 2026, that people are told when they are interacting directly with an AI system, unless that is obvious to a reasonably well-informed person. Rules elsewhere vary: some US states have their own disclosure and call-recording consent laws. If you handle personal data from EU residents, GDPR applies to call recordings and transcripts too. Whatever the law where you operate, telling callers they are speaking to an AI assistant is a simple way to build trust.

Which should you choose?

Choose an AI receptionist when:

• calls come in after hours, at weekends or in bursts your team can’t cover
• most calls are routine: bookings, availability, prices, directions
• you want every call answered and logged without adding headcount

Choose a human answering service when:

• volume is low but each call is worth a lot
• calls are sensitive, emotional or legally delicate
• you want a person on every call and accept a per-minute price for it

Hire in-house when:

• answering the phone is a full-time job alongside front-desk or admin work
• callers expect to reach the same familiar person

Combine them when you want the best of both. The most common setup is an AI receptionist for after-hours and overflow, with your team or an answering service taking the calls that need a human. That way, every call is answered and people spend their time where it counts.

How we build AI receptionists

At Orryvelle we build voice receptionists by hand in n8n, using Vapi to run calls and ElevenLabs voices. Our AI Voice Receptionist pairs an inbound agent that books, reschedules and cancels appointments with an outbound agent that calls every new booking to confirm it. Each agent works from approved information, checks real availability and hands over to a person when it should.