AI Receptionist vs Hiring a Receptionist: Honest Math
Compare an AI receptionist with a hired one using BLS wage data: cost, coverage hours, judgment and where each fits, plus a worksheet for your numbers.
A hired receptionist costs far more than an AI receptionist but does far more than answer phones. The U.S. Bureau of Labor Statistics puts the median receptionist wage at $18.27 per hour ($38,010 per year) as of May 2025, before payroll taxes and benefits. An AI receptionist costs cents per minute and covers nights, weekends and simultaneous calls. For most small businesses the question isn't one or the other; it's which calls each should handle.
What a receptionist actually does
Phones are only part of the job. A front-desk employee typically:
- Greets visitors and manages the waiting area
- Answers and routes calls
- Schedules appointments and handles changes
- Takes payments, files forms, handles mail
- Recognizes regular customers and their history
- Calms upset people and escalates problems sensibly
An AI receptionist only covers the phone portion, and within that, mainly the routine part.
Cost comparison
| Hired receptionist | AI receptionist | |
|---|---|---|
| Base cost | Median $18.27/hour (BLS, May 2025) | Per minute of conversation (for example $0.25/min on Callata, $0.50/min overage on RingCentral AIR) |
| Coverage | One shift, one call at a time | Any hour, several calls at once |
| Extra costs | Payroll taxes, benefits, training, turnover | Setup time, weekly review |
| Sick days and vacations | Need coverage | Not applicable |
| Judgment | Strong | Limited to instructions |
| In-person tasks | Yes | No |
Rough annual math
A full-time receptionist at the median wage working 2,080 hours earns about $38,000 before employer costs. Employer payroll taxes and any benefits add to that.
An AI receptionist handling 300 minutes a month at $0.25 per minute costs $75 a month, or $900 a year, plus your phone plan. At 1,000 minutes a month, it's $3,000 a year.
Those numbers aren't directly comparable because the jobs differ. They are useful for one decision: whether to hire a second person just to cover phones during peaks and after hours. AI usually covers that gap for less.
Coverage is where AI wins
A single receptionist can't:
- Answer two calls at once
- Work 7 p.m. to 8 a.m.
- Cover lunch, breaks, sick days and vacations without help
- Pick up while helping someone at the desk
Those gaps are where calls get missed. An AI receptionist set to answer overflow and after-hours calls fills exactly those gaps. See AI overflow call answering and after-hours AI call answering.
Judgment is where humans win
AI receptionists struggle with:
- Callers who are upset, confused or grieving
- Requests that need an exception or a decision
- Ambiguous urgency ("it's kind of leaking")
- Long-standing customers who expect to be recognized and treated personally
For the full list, see limits of AI phone agents and when AI should hand off to a human.
Four common setups
| Setup | Who answers | Best for |
|---|---|---|
| Human only | Receptionist during hours, voicemail after | Low call volume, mostly in-person business |
| Human + AI overflow | Receptionist first; AI when busy or on break | Busy front desk that misses peak calls |
| Human + AI after hours | Receptionist during hours; AI nights and weekends | Trades, property management, clinics with after-hours calls |
| AI first, human transfer | AI answers; transfers to staff as needed | Owner-operators and small teams without a front desk |
Worksheet: your numbers
Fill this in before deciding:
- Calls per week during business hours: ____
- Calls per week after hours: ____
- Calls missed per week (check your call log): ____
- Share of calls that are routine questions: ____%
- Average call length in minutes: ____
- Value of a new customer: $____
- Hours per week a person spends on phones today: ____
- Non-phone front-desk tasks that still need a person: ____
If missed calls are the problem and front-desk tasks are light, AI first with human transfer is often enough. If you need someone physically present, hire, and use AI to cover the gaps.
What changes for a receptionist when AI arrives
Teams that add AI well tend to:
- Let AI take repetitive calls (hours, directions, "are you open?")
- Route complex calls straight to the receptionist
- Have the receptionist review AI messages and callback requests each morning
- Ask the receptionist to update the AI's business facts when things change
The receptionist becomes the owner of the AI's knowledge, which is a good use of the person who knows the most about how calls really go.
Hidden costs on both sides
Hiring:
- Recruiting time and job-board fees
- Training on your services, software and policies
- Turnover: when a receptionist leaves, the knowledge in their head leaves too
- Overtime for evening or weekend coverage
AI receptionist:
- Writing and maintaining business facts (an hour or two to start, then small edits)
- Weekly review of conversations in the first months
- Occasional wrong answers when facts are missing, which you fix by updating the facts
- Base phone plan cost if your AI is an add-on
The AI's maintenance work is real but small, and it has a side benefit: writing down your hours, prices and policies creates documentation a new employee can use too.
A practical first 90 days
Days 1 to 30: Turn on AI for after-hours calls only. Have your receptionist read every AI conversation each morning and note wrong or missing answers.
Days 31 to 60: Add overflow during business hours, so the AI catches calls when the receptionist is on another line or at lunch. Update facts based on the first month's gaps.
Days 61 to 90: Review how many calls the AI handled, how many it transferred, and how many messages led to business. Decide whether to keep the setup, expand it, or adjust the receptionist's hours.
This approach avoids the two common mistakes: replacing a person before the AI is proven, and adding AI without anyone owning its quality.
When hiring is clearly the right call
- Visitors arrive in person all day and need to be greeted
- Calls regularly require judgment, negotiation or empathy
- You need someone to handle paperwork, payments and scheduling across systems
- Your customers expect a familiar voice
In those cases, AI is a supplement for coverage gaps, not a replacement.
What to tell your receptionist
If you already have a receptionist, involve them before switching anything on. They know which questions come up, which callers need special handling, and which answers change often. Ask them to draft the first version of the AI's business facts and to review the first week of conversations. Framing the AI as covering the calls they can't reach (lunch, second lines, after hours) rather than replacing them makes the rollout smoother and the facts better.
Using Callata with or without a receptionist
Callata Office is $99 per month with five users included, so a small office can give the receptionist, owners and staff the browser softphone and cell ringing; each user beyond five is $20 per month. Add an AI receptionist from AI Workforce and choose its jobs: answer a dedicated number, pick up when nobody answers during business hours, answer after hours, or reply to texts until a teammate responds.
The AI can transfer calls to everyone or to one person, such as your receptionist, and skips anyone on Do Not Disturb. Messages it takes and callbacks it schedules go into a queue your team works from. AI minutes are prepaid at $0.25 per minute of talk time. Create your account and start with overflow only to see what your receptionist has been missing.
Frequently asked questions
How much does a receptionist cost per year?
The U.S. Bureau of Labor Statistics reports a median receptionist wage of $38,010 per year, or $18.27 per hour, as of May 2025. Employer costs such as payroll taxes and benefits come on top of wages.
Can an AI receptionist do everything a human receptionist does?
No. AI handles phones well for routine calls, but it cannot greet visitors, manage paperwork, read emotion reliably or make judgment calls outside its instructions.
Should I fire my receptionist and use AI?
Most small businesses get more value by using AI to cover what one person cannot: after hours, lunch breaks, simultaneous calls and sick days. The receptionist then spends less time on repetitive calls.