A fully-loaded human receptionist costs a small business roughly $40,000-$50,000 a year. AI replaces that coverage in one of two ways: generic off-the-shelf answering apps run $100–$300/month but answer in a one-size-fits-all way; a tailored AI receptionist — built to your SOP, handling both inbound and outbound calls, and integrated into your operations end-to-end — is a one-time build of $2,500–$10,000 with no ongoing monthly fee. Either way, the AI answers every call at 2 a.m. on a Sunday too.
What a human receptionist actually costs
Start with wages. The U.S. Bureau of Labor Statistics puts the median receptionist pay at $17.90 an hour, about $37,240 a year (BLS Occupational Outlook Handbook, 2024 data). But the sticker wage isn't the real number. In private industry, benefits add another 29.8% on top of pay, things like payroll taxes, insurance, and paid leave (BLS Employer Costs for Employee Compensation, 2025).
Add benefits, payroll taxes, training, software, and a desk, and a single full-time front-desk hire realistically lands around $2,900-$4,100 a month, or $35,000-$49,000 a year. And that money buys you one person, on one shift, who takes lunch, gets sick, goes on vacation, and eventually quits.
What AI receptionist options cost
Off-the-shelf AI answering apps (Goodcall, Dialpad Ai Receptionist, and similar) run $100–$300/month for 24/7 coverage. They're fast to start and handle simple calls — hours, directions, basic FAQs. Their limit is specificity: they can't qualify a caller with your exact intake questions, handle outbound follow-up calls, or integrate with field-service software like Jobber or ServiceTitan.
A tailored AI receptionist — trained on your services, your pricing, and your booking process, making both inbound and outbound calls on your behalf — is a one-time build of $2,500–$10,000 (no ongoing monthly subscription). The build is priced to be recovered from the calls it captures in the first month. There's no payroll tax, no benefits load, no turnover, and no second hire needed to cover nights and weekends.
Side-by-side cost comparison
| Human receptionist | Off-the-shelf AI app | Tailored AI receptionist | |
|---|---|---|---|
| Monthly cost | ~$2,900–$4,100/mo loaded | $100–$300/mo | One-time build ($2,500–$10,000) |
| Annual cost | ~$35K–$49K/yr (BLS + employer cost data) | $1,200–$3,600/yr | N/A — one-time build |
| Hours covered | One ~40-hour shift | 24/7/365 | 24/7/365 |
| Knows your business | Yes, over time | Generic only | Yes — built to your SOP |
| Handles outbound calls | Yes | No | Yes |
| Sick days / turnover | Yes | None | None |
The number most owners forget: missed calls
The cost comparison isn't just AI vs. human, it's coverage vs. voicemail. Most small businesses miss a significant share of inbound calls — many studies put it at 20–40% — and most of those callers don't call back. They call a competitor instead.
For home-service businesses, a single missed call can be worth hundreds to over a thousand dollars in lost work, depending on the trade. A human receptionist who clocks out at 5 p.m. can't answer the 6:30 p.m. call, but an AI receptionist can. That after-hours and overflow coverage is often where the AI pays for itself in the first month.
When each one makes sense
- A full-time human still wins when the front desk is also doing complex in-person work: greeting walk-ins, handling payments, juggling paperwork in a busy lobby.
- An AI receptionist wins on phones, especially for service businesses where most jobs start with a call and after-hours coverage matters.
- Many Northwest businesses run a hybrid: staff handle daytime in-person work, and the AI catches every call, every overflow, and everything after hours.
- If you're choosing between a second receptionist hire and night/weekend coverage, AI is almost always the cheaper way to stop the leak.