AI receptionist vs answering service vs in-house: which fits?
An honest comparison of AI receptionists, human answering services and in-house reception staff: costs, strengths, limits and a guide to choosing.
An AI receptionist is the lowest-cost way to answer every call, around the clock, and it handles routine questions and bookings well. A human answering service costs more but copes better with emotional or unusual calls. An in-house receptionist is the most expensive option and only makes sense when the role includes front-desk work beyond the phone. Most businesses get the best result from a combination: AI answering first, with a clear route to a person.
- At around 100 calls a month, AI receptionists cost roughly $79 to $225 at US list prices, against $720 for a human answering service and more than $3,100 in salary alone for a full-time receptionist.
- AI handles routine, high-volume and after-hours calls consistently: opening times, prices, bookings, rescheduling and message-taking.
- People remain better at complaints, distress, negotiation and judgement calls, so any AI system needs a reliable transfer to a person.
- The deciding questions are call volume, call complexity and what happens out of hours, not the technology itself.
What each option is
An in-house receptionist is an employee who answers the phone, greets visitors and usually handles other administrative work. They know your business, your customers and your team, but they work set hours and need cover for breaks, holidays and sickness.
A human answering service (sometimes called a virtual receptionist) is a team of trained operators working from a shared office. They answer calls in your business name, take messages, transfer calls and sometimes book appointments, and most charge by the minute or by the call.
An AI receptionist is software that answers the phone with a natural-sounding voice. It understands what the caller asks, answers from information you provide, books appointments into your calendar, sends confirmation texts and passes calls to a person when needed. It works at any hour and can answer several calls at once.
How the three compare
| In-house receptionist | Human answering service | AI receptionist | |
|---|---|---|---|
| Typical cost | Highest: full salary plus employment costs | Medium: usually per minute or per call | Lowest: monthly fee, sometimes per call |
| Hours covered | Office hours, unless you hire more staff | Often 24/7, depending on the plan | 24/7 as standard |
| Several calls at once | One at a time | Yes, across the operator team | Yes |
| Knowledge of your business | Deep, built up over time | Limited to the script you supply | As good as the information and testing you give it |
| Routine questions and bookings | Very good | Good | Very good and consistent |
| Complaints and sensitive calls | Best | Good | Should transfer to a person |
| Set-up time | Weeks to recruit and train | Days | Days, including testing |
| Records and summaries | Depends on the person | Message summaries | A full record of every call, if configured |
What each option costs
The chart below compares list prices for handling about 100 calls a month, averaging two minutes each. Prices are US figures because they are the most widely published; the same pattern holds in other markets.
Chart
Monthly cost of handling about 100 calls
- In-house receptionist (salary only)$3,168
US median pay of $38,010 a year, before employer taxes, benefits and holiday cover.
- Human answering service (Ruby, 200 minutes)$720
- AI receptionist (Smith.ai, pay per call)$225
25 calls included, then $3.00 a call.
- AI receptionist (Goodcall Starter)$79
Covers up to 100 unique callers a month.
Show the data as a table
| Option | Monthly cost (USD) | Basis |
|---|---|---|
| In-house receptionist | 3,168 | $38,010 a year median pay, salary only |
| Ruby answering service | 720 | 200-minute plan |
| Smith.ai AI receptionist | 225 | Free plan: 25 calls, then $3.00 a call |
| Goodcall Starter | 79 | Up to 100 unique callers |
The in-house figure is the US median receptionist pay of $38,010 a year, divided by twelve, and it excludes employer taxes, benefits and holiday cover, which add considerably to the true cost. In the UK, the National Careers Service lists typical receptionist salaries of £21,000 to £25,000 a year for 37 to 40 hours a week.
Pricing models differ, so compare like with like:
- Per minute (common with answering services): costs rise with longer calls, which suits businesses with short, simple calls.
- Per call (common with AI and some answering services): predictable if you know your volume.
- Per unique caller or flat monthly fee (some AI services): the most predictable, and the best value when customers call repeatedly.
Where an AI receptionist does well
- After-hours and weekend calls, which are often the most urgent and the most likely to go to a competitor.
- Frequently asked questions: opening times, prices, locations, parking, what to bring, how long a job takes.
- Bookings and changes, written straight into your calendar, with confirmation and reminder texts.
- Overflow during busy periods, so a second or third caller is answered instead of hearing a ringing tone.
- Consistency: every caller hears the same accurate information, and every call is recorded and summarised.
Where people still do better
- Complaints and upset callers, where tone and empathy matter more than speed.
- Distressing or sensitive situations, such as bereavement, medical worries or safeguarding concerns.
- Negotiation and judgement, such as pricing a complex job or deciding whether to fit someone in today.
- Your most valuable clients, who may expect to reach a familiar person.
A good AI set-up recognises these situations and passes the call on, with a summary, rather than trying to handle everything.
The combination most businesses choose
In practice, the choice is rarely all or nothing. The most common arrangement is:
- AI answers first, every time, so no call goes unanswered.
- Routine matters are completed by the AI: questions answered, bookings made, messages taken.
- Anything that needs a person is transferred to a named member of staff during opening hours, or to a human answering service out of hours if the calls justify it.
- Every call produces a summary in your inbox or CRM, so nothing is lost.
This keeps the reliability and low cost of AI while making sure the calls that need a person reach one.
How to choose
| Your situation | Best fit |
|---|---|
| Under 50 calls a month, mostly simple questions | AI receptionist, or a well-configured voicemail with text-back |
| 50 to 500 calls a month, many bookings, frequent out-of-hours calls | AI receptionist with transfer to staff |
| Many emotional or complex calls (legal, funeral, healthcare triage) | Human answering service, with AI for overflow and after hours |
| Visitors to greet, post to sign for and an office to run | In-house receptionist, with AI covering breaks, evenings and busy times |
Questions to ask any provider
- How is pricing calculated: per minute, per call or per caller, and what happens if we exceed the allowance?
- Can it book directly into our calendar and booking system, and send confirmations?
- How and when does it transfer a call to a person, and what information does the person receive?
- What happens when it does not know the answer?
- Where are call recordings and transcripts stored, for how long, and who can access them?
- How do callers know they are speaking to an AI? In the European Union, the AI Act requires this to be clear.
- Can we test it with our own questions before we commit, and what is the minimum contract?
What we would do
For most small and medium-sized service businesses, we would start with an AI receptionist covering evenings, weekends and overflow, with every complex or sensitive call transferred to the team. After a month, the call summaries show exactly which questions come up, which calls needed a person and how many bookings came in out of hours. That evidence then decides whether daytime calls should move to the AI as well, or whether a human answering service is worth adding for specific call types.
If you have not yet measured how many calls you miss, start with our guide to the cost of missed calls, which includes a formula and worked examples.
Next Step
See how our AI receptionist works
Bookings, answers and transfers to your team, with a summary of every call.
Frequently Asked Questions
Is an AI receptionist cheaper than an answering service?
Usually, yes. At around 100 calls a month, US list prices for AI receptionists ranged from about $79 to $225 at the time of writing, against $720 for a 200-minute human answering service plan. The gap widens as call volume grows, because most answering services charge per minute.
Can an AI receptionist transfer calls to a person?
A well-configured one can. It should pass urgent, complex or sensitive calls to a named member of staff or to a human answering service, and send a summary of the conversation so the caller does not have to repeat themselves.
Do I have to tell callers they are speaking to an AI?
It is good practice everywhere and a legal requirement in some places. In the European Union, Article 50 of the AI Act requires AI systems that interact with people to make clear that they are AI, unless it is already obvious. A short line in the greeting covers this.
Will customers be put off by an AI receptionist?
Callers mainly want a quick answer and a clear next step. A natural greeting, short answers and an easy route to a person when needed matter far more than whether the first voice is human. Most frustration comes from systems that cannot transfer or that trap callers in loops.
Next Action
Want help implementing this in your business?
Tamkoz builds AI phone receptionists, bespoke chatbots, and business automations. All work is quoted in writing before starting.