AI voice agent vs answering service vs in-house receptionist

They differ less in who picks up and more in what happens after the caller hangs up. The table compares them on the points that decide whether a call turns into revenue or into a callback someone forgets.

A full-time receptionist costs noticeably more than the wage. The Bureau of Labor Statistics reports a median receptionist wage of $18.27 an hour, or $38,010 a year, as of May 2025.

Benefits come on top. In the Employer Costs for Employee Compensation release for June 2026, benefits made up 30.0 percent of private-industry compensation costs, which puts a median receptionist at roughly $54,000 a year fully loaded.

One person covers about 40 of the 168 hours in a week. Covering every hour takes about 4.2 full-time people before vacations, sick days and overtime, or roughly $228,000 a year at the median wage, which is why almost nobody staffs a phone line around the clock in-house.

That money buys things software cannot do: greeting walk-ins, signing for deliveries, calming a long-time customer who wants a familiar voice. The useful question is whether that person's day goes to those things or to repeating the same scheduling call forty times.

Answering services charge by the minute or by the call, so the bill rises in step with volume. Ruby's published receptionist plans run from $250 a month for 50 minutes to $1,725 a month for 500 minutes, which works out to between $3.45 and $5.00 per minute.

Smith.ai prices its live receptionists per call: $300 a month for 30 calls, $810 for 90 and $2,100 for 300, with overage from $11.50 down to $8.50 per call, and appointment booking listed at $1.50 per call on top.

Both models are good value at a few calls a day. At hundreds of calls a week the per-unit price becomes the largest line in the comparison, and the output is frequently a message your team still has to act on rather than a finished booking in your field service management (FSM) system or customer relationship management (CRM) system.

The usage cost of an AI voice agent is small; the build is where the money goes. At the infrastructure layer, Twilio lists inbound calls on a United States local number at $0.0085 per minute plus $1.15 a month for the number, and ElevenLabs lists its voice agent platform at $0.08 per additional minute, with language model usage billed separately on some models.

What takes real engineering time is everything around the voice: the integration that writes a booked job into your dispatch board, the rules for which calls go to a person, testing against recordings of your own calls, and monitoring after launch. That work is a fixed project with a maintenance tail rather than a per-minute fee, and our pricing page explains how we scope it in phases with a fixed price per phase.

Because usage cost barely moves as calls increase, the agent's economics improve with volume. That is the opposite of a per-call or per-minute service, where every busy month produces a bigger invoice.

Each one fails in a predictable way, and knowing the failure mode is more useful than a feature list.

Choose by call pattern, not by enthusiasm for the technology.

• Pick an in-house receptionist when most of the job is in person and phone calls are a modest share of the day.
• Pick an answering service when you get a handful of calls a day, most of them messages, and nothing has to be booked into a system.
• Pick an AI voice agent when calls are frequent and repeatable, after-hours demand is real, and the outcome should be a booked job, a qualified lead or a logged request.
• Pick a mix when you have all three patterns: the agent answers first and books routine work, and staff take the calls that need a person.