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AI cluster

AI answering service

By · Last verified

A human answering service costs $2 to $5 a minute. An AI one costs cents. That gap is so large it stops being a pricing question and becomes a judgment question: which of your calls can you afford to hand to a machine, and which ones would cost you more to lose than the entire year of savings? This page prices both sides honestly, and names the calls a human should still take.

The two business models, side by side

A human answering service sells bundled minutes of a person's attention, and the unit cost barely moves with scale — Ruby's biggest published plan still works out around $3.45 a minute. An AI answering service sells machine time, metered in cents, or a flat monthly fee with no meter at all. That is not a 20% saving. At 300 minutes a month it is roughly $30 against $720.

Which is exactly why you should be suspicious of the arithmetic. A 90% saving on a line item that was never your biggest cost is not a business case. The business case is what happens to the calls — so price the models first, then read the second half of this page, which is about the calls you must not automate.

What each option costs, at 300 minutes a month

AI answering service compared with human answering services at 300 minutes per month
Feature Monthly cost at ~300 minutes Effective unit cost
AI, pay-per-use, standard voice Voice engine $0.045 + OpenAI/Cartesia TTS $0.015 + inbound telephony ~$0.0085. Language-model tokens on top. ≈ $21 / mo + tokens ≈ $0.07 / min
AI, pay-per-use, premium ElevenLabs V3 voice The identical call with the fancier voice. This is the row the demos never show. ≈ $67 / mo + tokens ≈ $0.22 / min
AI, flat rate (HighLevel AI Employee Unlimited) Unlimited voice + text agents, per location, fair-use capped. Telephony still extra. $97 / mo Unmetered
AI, flat rate (Jobber AI Receptionist) Narrow: answers, takes the request, books it. Sits on a $29/mo plan. $29 / mo add-on Unmetered
Human — PATLive Premium 350 included minutes, then $2.10/min. $720 / mo ≈ $2.06 / min
Human — Ruby Business 200 included receptionist minutes. $720 / mo ≈ $3.60 / min
Human — Smith.ai Billed per call, not per minute. Spam and wrong numbers are not charged. from ~$300 / mo ≈ $10 / call

Every figure verified July 12, 2026 against the vendor's own pricing page: Ruby, PATLive, Smith.ai and HighLevel's published AI pricing documentation. AI rows exclude language-model tokens (typically a few cents a call) and the ~$1.15/month phone number rental. Human plans include their bundled minutes; overage is charged above them. Model your own volume on the true-cost calculator.

The human services, priced exactly

  • Ruby — Per minute, bundled into a monthly plan. Starter $250/mo (50 receptionist minutes) · Professional $395/mo (100) · Business $720/mo (200) · Enterprise $1,725/mo (500). ≈ $3.45–$5.00 per receptionist minute, depending on the plan.
  • PATLive — Per minute, with a monthly minute bundle and published overage. Basic $75/mo pay-as-you-go ($2.60/min) · Starter $250/mo (75 min, then $2.35/min) · Standard $460/mo (200 min, $2.20/min) · Premium $720/mo (350 min, $2.10/min) · Pro $1,170/mo (600 min, $2.00/min). ≈ $2.00–$3.33 per minute.
  • Smith.ai — Per call, not per minute — spam and wrong numbers are not billed. AI Receptionist from $95/mo (50 calls) and $270/mo (150 calls). Live human receptionist plans start around $300/mo for 30 calls. ≈ $10 per live-answered call at the entry plan.

None of these companies is a dinosaur, and none of them is overcharging. They are selling a trained person who answers in your business's name and exercises judgment, and $2–$5 a minute is what that costs. The question is not whether they are worth it. It is which of your calls are.

The savings are real. The risk is also real.

Here is the trap in the AI pitch, stated plainly. The AI is cheap per minute. But the calls it is worst at — the unusual question, the upset caller, the one who interrupts, the one with a heavy accent on a noisy line — are disproportionately the expensive calls. A machine that saves you $650 a month and mishandles one $2,000 enquiry has not saved you anything. The unit economics and the outcome economics point in opposite directions, and only one of them is on the vendor's pricing page.

There is also a cost the AI pitch never mentions: configuration is the product. A human service takes your script and starts on Monday. An AI agent needs a knowledge base, a calendar integration, qualifying questions mapped to CRM fields, escalation rules, and someone to listen to the first fifty recordings and fix what it fumbled. That work is real, and for a low-volume business it can genuinely cost more than the human service saves.

Who wins which call

  • A human wins: the call IS the sale

    Legal intake, high-ticket professional services, a distressed caller, a complaint. If the first ninety seconds are a trust-building conversation, $2–$5 a minute is cheap insurance against losing the client.

  • A human wins: unscripted complexity

    If every caller asks something different, the knowledge base will never catch up and the AI will spend its day saying "I am not sure about that" — which is worse than a voicemail.

  • AI wins: volume and overflow

    The second simultaneous call, the after-hours enquiry, the Saturday caller. The alternative here is not a human — it is voicemail. The AI cannot do worse than nothing.

  • AI wins: it books, and it writes to the CRM

    A human service emails you a message to action. An AI agent wired to your calendar puts the appointment on it and fires the confirmation text itself. That closed loop is the whole reason to prefer AI, and it is not about price.

  • AI wins: predictable scale

    Call volume triples during a promotion. The AI answers all of them at the same per-minute rate. The human service queues, or bills you overage at $2+/min.

  • Both, actually

    The configuration that works is AI first, human on demand: the agent takes the routine call and books it, and hands anything hard to a person on a low, generous escalation rule.

The configuration that actually works

Not "AI instead of a human". AI first, human on demand. Point the agent at the calls that currently reach voicemail — after hours, weekends, the second simultaneous call — where the alternative is nothing at all and the AI therefore cannot do worse. Give it a low, generous transfer rule during business hours. Keep the human service, or the front desk, for the calls that earn a person.

Done that way, the AI is not competing with your receptionist. It is competing with your voicemail, and it wins that contest every time — for cents. For how the agent is actually wired to the calendar, read the Voice AI deep-dive; for the same agent over SMS and social channels, Conversation AI.

If you have already decided AI is the answer and you now want to know which product to buy, that is a different question with a different page: six AI phone answering products, priced. And if you want to understand the agent itself — what it does on a call, and where it breaks — start with the AI receptionist guide.

How we priced this comparison

We use it on client work
We run GoHighLevel sub-accounts for real local-business clients — chiropractors, med spas, and similar. The opinions here come from configuring and operating the platform as a paying customer, not from a demo video.
Prices come from the vendors, and are dated
Every price is taken from the vendor's own public pricing page and stamped with the date we checked it. Usage costs (SMS, email, AI) are listed separately, because the plan price is not the bill.
We name who should not buy
Any verdict that cannot tell you who the product is wrong for is an advertisement. Every review and comparison here names the people we think should buy something else.
We say when a competitor wins
Comparison pages include the rows where the other tool is genuinely better. We earn nothing when you pick the competitor, and we still write the row.

The commission does not change the verdict. We earn an affiliate commission if you sign up through this site, at no extra cost to you. It is also the reason we are careful: the fastest way to lose a reader permanently is to sell them a tool that is wrong for them. Where GoHighLevel is the wrong answer, we say so and send you elsewhere — including to tools we earn nothing from.

More on who we are and how this site makes money: About Michael Smith.

Frequently asked questions

What is an AI answering service?
An AI answering service is a paid service where a voice agent, rather than a person, answers your business calls — greeting the caller, working from your knowledge base, qualifying them, booking them, and passing anything it cannot handle to a human. Commercially it competes with human answering services like Ruby, PATLive and Smith.ai, but it is priced completely differently: a human service sells you bundled minutes at $2–$5 each, while an AI service either meters you per minute of machine time (typically cents) or charges a flat monthly fee.
Is an AI answering service cheaper than a human one?
Dramatically, on paper. At 300 minutes a month, a standard-voice AI agent on GoHighLevel's published meter costs about $21 in voice and telephony charges plus a few dollars of language-model tokens, and a flat AI plan costs $29–$97. PATLive Premium and Ruby Business both cost $720 a month for a comparable volume. The catch is that "minutes" are not the unit that matters — outcomes are. If the AI mishandles two high-value calls a month that a human would have won, the $650 you saved was never real. Price the decision on booked jobs, not on minutes.
How much does Ruby, PATLive or Smith.ai actually cost?
Verified against each vendor's own pricing page on July 12, 2026: Ruby runs $250/mo for 50 receptionist minutes, $395 for 100, $720 for 200 and $1,725 for 500. PATLive runs $75/mo pay-as-you-go at $2.60/min, then $250 (75 minutes), $460 (200), $720 (350) and $1,170 (600), with overage from $2.00–$2.35/min. Smith.ai bills per call rather than per minute, with live-receptionist plans from around $300/mo for 30 calls and an AI receptionist tier from $95/mo for 50 calls.
When should I keep the human answering service?
When the call is the sale. Legal intake, high-ticket consulting, anything emotionally loaded, anything where an unscripted question is the norm rather than the exception. Also when your call volume is low enough that the AI's setup effort — the knowledge base, the escalation rules, the fifty recordings you have to listen to — costs more of your time than the service costs in money. A $250/month human plan and no configuration work is sometimes simply the right purchase.
Can I run an AI answering service and a human one together?
Yes, and it is the configuration that actually works. Point the AI at overflow and after-hours calls — the ones currently reaching voicemail — and give it a low bar for transferring to a person during business hours. You keep the human judgment on the calls that need it, you stop losing the calls nobody was answering, and you only pay human rates for the calls that earn them.
Do AI answering services integrate with my CRM?
This is the question to interrogate, because it is where the real difference lies. A human service emails or portals you a message; your team then re-types it. A native AI agent inside a CRM — GoHighLevel's Voice AI, for example — writes the qualified answers straight onto the contact record, books the calendar slot itself, attaches the recording and the transcript, and triggers the follow-up workflow with no human in the loop. If an AI vendor cannot do that, they have sold you a robot voicemail, and you should price it accordingly.

Run both for a month before you cancel anything

Point the AI at after-hours calls only and leave the human service on business hours. Compare booked appointments, not minutes. The answer will be obvious in thirty days, and it will be yours rather than ours.

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