How much does an AI receptionist cost? Pricing models and the real math

There is no single price. An AI receptionist costs whatever its pricing model times your call volume comes to, plus setup, integrations, and the human backup you keep. Two businesses on the same plan can pay very different amounts because one gets short booking calls and the other gets long troubleshooting calls.

Start with your own numbers, not a vendor's headline. Pull 30 to 90 days of call logs and write down four figures: calls per month, average call length in minutes, the share of calls that arrive after hours or go unanswered, and the share that would still need a person. With those, you can turn any quote into a monthly cost and compare options fairly.

The examples on this page use hypothetical rates chosen for easy arithmetic, not prices from any vendor. Get real quotes in writing, in the same units, before you decide.

Vendors package the same underlying costs in different ways. Telephony, transcription, the language model, and the synthetic voice are all metered somewhere; the pricing model decides if that metering is passed to you or folded into a plan. Know which model you are buying, because each one penalizes a different call pattern.

• Per minute: you pay for every minute the AI is on the line. Fair for short calls, expensive if callers ramble, if transfers keep the meter running, or if spam is not filtered early.
• Per call: a fixed charge for each answered call regardless of length. Predictable when calls run long; check how spam, hang-ups, and very short calls are counted.
• Flat monthly tier: a monthly fee that includes an allowance of minutes or calls, with an overage rate above it. Read the overage rate as closely as the base fee.
• Add-on in your phone system: some business phone and contact center platforms sell AI answering as an add-on to licenses you already pay for. Convenient if you run that platform, but features follow that vendor's roadmap.
• Custom build with usage costs: a one-time build, then telephony, speech, and model usage at the underlying providers' rates, plus hosting and maintenance. More to own, and you control the data and the logic.

Six factors move the bill more than the brand you choose. Estimate each one from your call log before requesting quotes, and ask every vendor how their pricing treats it.

• Call volume: total inbound calls, including spam and wrong numbers unless the vendor filters them at no charge.
• Minutes per call: intake-heavy calls (addresses, job details, insurance) run longer than hours-and-directions calls.
• Integrations: calendar, CRM, field service, practice management, or ticketing connections are often limited to higher tiers or billed as setup work.
• Languages: a second language may be included, sold as an add-on, or handled poorly. Test it with native speakers.
• After-hours coverage: answering nights and weekends only costs less than answering every call, and it is where the AI adds the most coverage.
• Human fallback: transfers can keep the AI's meter running, add minutes to your own phone plan, and may require an answering service or on-call staff behind the AI.

The monthly plan is rarely the whole cost. Ask for each of these in writing and add the ones that apply to your comparison.

The largest hidden cost is internal. Someone has to own the knowledge sheet, read transcripts, fix bad records, and update rules when services, prices, or staff change. Expect several hours a week during the first month and less once the failures settle down, and value that time at what the person earns. Mistakes cost money too: a booking for a service you do not offer, or an emergency that sat in an inbox overnight, can wipe out a month of savings.

• Setup or onboarding fees, and whether they cover writing call flows or only creating the account.
• Minimum contract length, cancellation terms, and annual prepayment requirements.
• Overage rates above the plan allowance.
• Transfer minutes: whether the AI's meter keeps running while a transferred call rings and connects.
• Text message fees, plus the business texting registration US carriers require for messages sent from local numbers.
• Integration tiers that put CRM or calendar connections on more expensive plans.
• Recording and transcript storage, and any fee to export your data if you leave.
• Porting fees if you move your number to the provider.

Here is the arithmetic for a hypothetical small business that receives 300 calls a month averaging 3 minutes each, or 900 minutes. The AI and answering-service rates below are invented inputs for illustration, not market prices. Replace every number with your own call data and real quotes.

For the in-house option, the one sourced figure is wage data: the US Bureau of Labor Statistics reports a median hourly wage of $18.27 for receptionists in May 2025. A full-time schedule is about 173 hours a month (40 hours times 52 weeks, divided by 12), so wages alone come to roughly $3,170 a month at the median, before payroll taxes, benefits, paid time off, and the hours the desk sits uncovered. Local wages vary, so check yours.

The arithmetic favors software on raw cost, but the three options do different jobs. A receptionist also greets walk-ins, handles paperwork, calms upset customers, and notices problems nobody scripted. An answering service brings human judgment to unusual calls. An AI receptionist answers many calls at once at any hour, but needs an owner and still hands hard calls to a person. Price the job you actually need done.

• Hypothetical AI plan: $200 a month including 300 minutes, plus $0.25 per extra minute. The 600 extra minutes cost $150, for $350 a month before setup and staff review time.
• Hypothetical live answering service at $1.50 per minute: 900 minutes cost $1,350 a month, with no direct booking unless the service works with your calendar.
• In-house receptionist at the BLS median wage: roughly $3,170 a month in wages for business-hours coverage only, with the fully loaded cost higher.
• Hybrid: the hypothetical AI plan plus the answering service for transfers. If a fifth of the 900 minutes transfer, add 180 minutes at $1.50, or $270, for about $620 a month.

For many plumbing, HVAC, electrical, roofing, and similar trade businesses, yes, when three things are true: you miss calls while working, most of those calls are new jobs or booking changes, and you have a calendar or field service system the AI can book into, such as ServiceTitan, Jobber, or Housecall Pro. If you rarely miss calls, or every call needs a technician's diagnosis before anything can be booked, the case is weak.

Test it with your own numbers. As an illustration, suppose a two-truck plumbing company misses 8 calls a week while both owners are on jobs. If 1 in 4 of those callers would have booked, at an average first-visit ticket of $400, the missed calls represent about $800 a week in possible revenue, or about $3,470 in an average month. Against the hypothetical $350-a-month plan above, the AI only needs to recover one job a month to cover its fee. Your miss rate, booking rate, and ticket size will differ, and your phone system's call log and job history hold the real inputs.

The risks for trades are specific: emergencies routed to a general inbox, the AI quoting a price that depends on what the tech finds, and bookings outside your service area. Set emergency keywords that page the on-call tech, limit prices to published trip or diagnostic fees, and check ZIP codes before booking. Our guide on AI for home service businesses covers dispatch and follow-up.

On per-minute arithmetic, an AI receptionist usually costs less than a live answering service, because no person is on the line for routine calls. Cost per minute stops being the right comparison when the AI hands off a large share of calls, or when your callers need the empathy and judgment a trained human agent brings.

Choose a live answering service when calls are emotionally loaded, when callers are often elderly or distressed, or when nearly every call is different. Choose an AI receptionist when calls are repetitive, when volume spikes (storms, seasonal rushes, a marketing campaign) would swamp a human team, or when booking straight into your calendar is the main job. Many businesses end up hybrid: the AI answers first and handles routine calls, and a person or answering service takes transfers. The comparison table on this page lays out the differences factor by factor.

Off-the-shelf services are the right start for most small businesses: quick to set up, priced monthly, and maintained by the vendor. The tradeoffs are fixed integrations, limited control over the conversation, and call data living in someone else's system.

A custom AI receptionist makes sense when the front desk is part of a larger workflow: the same assistant answers phone and text, reads job status from your own database, updates several systems, and follows rules no product supports. That is the shape of what we built for Angelone Homes, where an AI assistant named Ava handles more than 200 messages a week inside a custom operations platform. Our custom software cost guide puts most focused internal tools between $15K and $75K for a first production version. A receptionist built on its own rarely justifies that; one built into a broader operations system can. After launch you pay telephony, speech, model usage, hosting, and maintenance directly.

You can build a defensible estimate from data you already have. The goal is one monthly number per option, calculated the same way, so the comparison is honest.

1. Export 30 to 90 days of call logs from your phone system or carrier.
2. Count calls per month and work out the average call length, with spam and wrong numbers separated out.
3. Tag a sample of calls by reason and mark the ones an AI could fully handle.
4. Note how many calls are missed or arrive after hours, and when they cluster.
5. Ask two or three vendors to price your exact volume, including overages, transfers, texting, and integrations.
6. Convert every quote into one monthly figure, then add setup spread over 12 months and staff review time.
7. Add the cost of whatever human fallback you will keep.
8. Run a 30-day pilot on after-hours or overflow calls, and compare bookings and missed calls with the same period before.