How much does an AI receptionist cost?
By the InTheory team · Updated November 2026
Most small businesses pay about $50 to $300 a month for an AI receptionist, with usage plans around $0.39 to $0.99 a minute. Live answering services cost more, often $250 to $2,100 a month. This guide covers pricing models, hidden costs, setup and integration work, and how to judge whether it pays back.
- Published guides put typical AI receptionist plans at about $50 to $300 a month.
- Pricing is usually metered by minutes, calls or unique callers, so busy months cost more.
- Live virtual receptionists typically cost about $250 to $2,100 a month.
- Setup, integration and review time are real costs that the monthly fee does not show.
The short answer
Most small businesses can expect to pay between $50 and $300 a month for an AI receptionist, according to GetVoIP's 2026 pricing guide. Aircall's review of the market finds AI receptionists ranging from free entry plans to a few hundred dollars a month, or roughly $0.39 to $0.99 per minute on usage-based plans. A comparison published by one vendor, NextPhone, found entry plans at $49 to $199 a month and a 100-call month costing $75 to $270 across the plans it priced.
Live answering by human receptionists costs more. Aircall puts live virtual receptionists at about $250 to $2,100 a month depending on minutes or calls. Those figures cover the subscription only. Setup, integration with your scheduling or practice management system, and the staff time to review calls are extra.
How AI receptionists are priced
The headline price matters less than the billing model, because the model decides what a busy month costs.
To compare fairly, estimate your monthly call count and average call length from your phone records, then price each option at a normal month and at your busiest month. An HVAC company in a July heat wave or a tax office in March may see several times its usual volume.
- Per minute: you pay for talk time, often with an included bundle and an overage rate. Rounding rules matter; some providers round each call up to the next 30 seconds.
- Per call or per session: each answered call counts, regardless of length. Short wrong-number calls can add up.
- Per unique caller: repeat callers in the same month do not cost extra.
- Flat monthly fee: one price regardless of volume, usually with a higher entry cost.
- Per user plus usage: an AI agent sold as an add-on to a business phone system, priced on top of phone seats.
Costs the monthly fee does not show
Plan the script as carefully as you would brief a new employee. List the questions every caller should be asked, the situations that must go straight to a person, the information the AI must never give, and what happens when a caller simply asks for a human. Most problems in the first weeks come from gaps in these instructions rather than from the technology.
- Setup: writing the greeting, questions, routing rules and handoff instructions. Some vendors include it, some charge, and some leave it to you.
- Integrations: booking into your calendar, creating records in HubSpot, Clio, Jobber or ServiceTitan, or sending call summaries to the right person. Higher tiers often include more integrations.
- Phone system changes: call forwarding, number porting or adding the AI agent to an existing phone platform.
- Review time: someone should listen to a sample of calls each week, especially in the first month.
- Compliance work: call recording consent, and agreements with the vendor if calls include health or legal information.
- Bundled packages: some local providers bundle an AI receptionist with chat, CRM automation and websites from around $500 a month. Compare the parts you actually need.
How to estimate payback
Start from what a missed or mishandled call costs you today. Look at a month of call logs: how many calls went to voicemail, how many came after hours, and how many of those callers never called back. Then estimate how many would have become customers and what a typical first job or new client is worth.
As an illustration only: if a plumbing company misses 40 after-hours calls a month, and better answering converts two more of them into $400 jobs at a 40 percent margin, that adds about $320 of margin a month. A $150 subscription plus a few hours of setup would pay back. If the firm misses five calls a month and most callers leave messages anyway, the case is much weaker. Use your own numbers, and measure after launch rather than trusting any estimate, including this one.
What to check before you buy
Test the receptionist with real scenarios before committing. Call it yourself as an emergency customer, a confused existing client, a vendor and a spam caller. Check that it collects the details your team needs, transfers urgent calls to the right person, books correctly, and never quotes prices or gives advice it should not.
Ask how calls are recorded and stored, whether recordings or transcripts are used to train models, and how long data is kept. Healthcare practices should ask whether the vendor will sign a HIPAA business associate agreement. Law firms should consider how intake conversations fit confidentiality duties. Check your state's rules on call recording consent with your adviser. And confirm you can export call records and leave without losing your phone number.
Where outside help fits, and what it costs
Many businesses can set up an AI receptionist themselves using the vendor's onboarding. Outside help is worth paying for when the receptionist must connect to scheduling, dispatch or intake systems, when calls carry regulated information, or when you want the call data to feed lead follow-up and reporting.
That help comes in different sizes. A local automation agency may charge a small setup fee plus a monthly retainer for one system. A fractional technology lead costs more, typically benchmarked at $9,000 to $15,000 a month for a traditional fractional CTO. InTheory's plans, at $2,500 to $7,000 a month for 90 days, sit below that because they cover one scoped workflow, such as intake and follow-up, rather than part-time executive cover. If all you need is a receptionist answering calls, you do not need either; buy the subscription and configure it carefully. A broader fractional CTO is the better buy if phones are one part of a company-wide systems overhaul.
AI or human, or both
AI receptionists are strongest at volume, consistency and after-hours coverage: capturing details, booking routine appointments and routing urgent calls. Human receptionists are better with upset callers, complicated situations and relationship-heavy clients. Many firms use both: staff answer during business hours and the AI handles overflow, lunch breaks and nights.
Whichever you choose, measure it. Track answered-call rate, after-hours enquiries captured, booking rate from calls, and the share of AI calls that needed a person to fix something. Review those numbers monthly and adjust the script.
Review a sample of recordings or transcripts weekly in the first month. Look for callers who hung up, details captured wrongly, and urgent calls that were not escalated. Each of these points to a fix in the instructions, and a few rounds of adjustment usually make a large difference.
Common questions
Is an AI receptionist cheaper than a human receptionist?
On subscription cost, almost always. Published AI plans commonly run $50 to $300 a month, while live answering services run roughly $250 to $2,100. A full-time employee costs far more. But an AI receptionist does not replace everything a good front desk person does, so many firms use it for overflow and after hours.
Are there setup fees for AI receptionists?
Some vendors charge setup fees and some include setup in higher tiers. Even when setup is free, someone has to write the call flow, connect calendars and test scenarios. Budget a few hours of staff time at minimum, and more if integrations are involved.
What happens when my call volume spikes?
On metered plans the bill rises with minutes or calls, sometimes at higher overage rates. Flat-rate plans stay the same. Price each option at your busiest month, not your average one, before choosing.