What the Speed-to-Lead Research Actually Says
A careful read of the lead-response studies everyone cites - what the five-minute rule proves, what it does not, and how to apply it without a data team.
How AI receptionist pricing really works - flat plans, per-minute, per-call and per-resolution models, what drives cost, and the fees quotes tend to hide.
Two businesses call the same three AI receptionist vendors and come back with quotes of $79, $199 and $500 per month. Nothing is dishonest about that. The vendors are selling different things under the same label: some sell minutes, some sell calls, some sell resolutions and some bundle a human backup. To compare quotes, you have to convert everything into the same unit, and that unit is cost per answered call at your actual volume.
This guide walks through the pricing models you will encounter, the published numbers behind them, what genuinely drives cost, and the fees that quotes tend to bury. It is written for owners comparing options, not for people who love pricing tables.
You pay a fixed fee and get a usage allowance, usually measured in calls, minutes or unique customers. Goodcall's public plans run $79, $129 and $249 per month per agent with unlimited minutes and tokens, then $0.50 per unique customer beyond 100, 250 or 500 respectively, depending on the tier. Smith.ai's AI receptionist starts with a free tier of 25 calls per month, then $150 per month for 75 calls and $500 per month for 300 calls. Dialzara's inbound plans run $29, $99, $199 and $349 per month with 60 to 1,000 included minutes.
Flat pricing is easiest to budget and easiest to compare, but the allowance definitions matter. Unlimited minutes is not the same as unlimited calls, and unlimited conversations is not the same as unlimited unique customers.
You pay for talk time, either as an allowance with an overage rate or purely by the minute. Dialzara's overage rates fall from $0.48 per minute on its smallest plan to $0.35 on its largest. Traditional human answering services often price by the minute too. Ruby's live plans start at $250 per month for 50 minutes and rise to $1,725 per month for 500 minutes, and the company states it charges no activation, onboarding or setup fees.
Per-minute billing rewards short conversations. That is not automatically bad; a well-designed agent that confirms the job, answers the common questions and books the slot is a good outcome for everyone. But if your average call runs long because callers need real help, the meter reflects it.
You pay for answered calls. Smith.ai's human receptionist plans, for comparison, are $300 per month for 30 calls, $810 for 90 and $2,100 for 300, with overage at $11.50, $10.50 and $8.50 per call respectively. Per-call pricing means a careful, long conversation costs the same as a rushed one, which aligns the vendor with answering rather than shortening.
The question to ask here is what counts as a call. Spam, wrong numbers, hangups and test calls all need explicit answers.
Some AI products charge per outcome rather than per call. Intercom's Fin AI Agent is priced from $0.99 per outcome, where an outcome is a resolution, a procedure handoff or a qualification event, charged at most once per conversation, with minimum monthly commitments. This model only charges when the agent delivers something, which sounds attractive, but minimums and the definition of an outcome determine the real cost. Read the definition line by line.
Agencies and resellers often get multi-tenant dashboards and per-partner pricing. Dialzara advertises a white-label program with partner pricing. If an agency manages your calls, ask who holds the account, who owns the phone number and what happens if you part ways.
| Model | Example from public pricing | Best when | The catch |
|---|---|---|---|
| Flat monthly | Goodcall $79-$249 per agent | Call volume is steady and predictable | Caps on unique customers, per-agent pricing |
| Per minute | Dialzara $29 for 60 minutes, overage $0.48 | Calls are short and you want a low entry price | Long calls cost more, budgets drift |
| Per call | Smith.ai $150 for 75 AI calls | Conversations vary in length | Overage of $2.50 or more per extra call |
| Per resolution | Intercom Fin from $0.99 per outcome | You want to pay for delivered results | Minimum commitments, outcome definitions |
| White-label | Dialzara partner pricing | Agencies managing several clients | Ownership and portability questions |
Five variables explain almost every price difference.
Convert both quotes into cost per answered call at your volume. The formula is simple:
Monthly cost plus expected overage, divided by the number of calls you expect to be answered.
As an illustration, Dialzara's $99 plan includes 220 minutes. If your average call is three minutes, that is roughly 73 calls, or about $1.36 per call from the included allowance. If your average call is eight minutes, it is roughly 27 calls, or about $3.67 each, and you may hit the overage rate before the month ends. The vendor has not changed; your call profile has. That arithmetic is based on published prices and average call lengths you supply, not on vendor promises.
When you have two numbers on the same basis, run this checklist before deciding.
Every line below appeared in at least one public price list we reviewed. None are scandals; they simply do not show up in the headline number.
Seat and minute pricing suits businesses with a simple, stable answering need. Project pricing suits businesses with specific call flows, CRM requirements and a preference for ownership.
Praktivo builds AI systems as projects: Workflow Sprints from $1,500 for one or two workflows, Full Journey Builds from $5,000 for three to five, and an optional management plan from $300 per month. You own the workflows, the data and the integrations, and there is no per-minute meter on your own calls. The trade-off is that it is a build, not a subscription you can switch off after a quiet month. You can see how we scope it on the pricing page and what the AI receptionist service includes.
If you are still deciding between a live answering service and an AI receptionist, our existing comparison in the AI receptionist versus answering service guide covers the trade-offs without repeating them here. The speed-to-lead research breakdown explains why response time is worth paying for in the first place, and the after-hours HVAC booking workflow shows the economics of one industry where after-hours calls carry a premium.
How much does an AI receptionist cost per month?
Public pricing in 2026 runs from around $29 per month for a small per-minute plan to $500 or more for a high-volume or hybrid plan with human backup. Flat plans with generous usage, such as Goodcall from $79 per month, sit in the middle. Your real cost is best expressed as cost per answered call at your volume, not the headline price.
Is per-minute or per-call pricing better?
Neither is inherently better, but they reward different behavior. Per-minute billing rewards short calls, so the vendor profits when conversations are efficient and you pay more when callers ramble. Per-call billing rewards volume, so a long, careful call costs the same as a short one. Estimate your average call length and call volume, then compare both.
What hidden costs should I watch for?
Watch for telephony and number fees, overage rates, minimum commitments, setup or onboarding fees, charges for CRM integrations, and caps on included calls or unique customers. Ask what counts as a billable call, whether spam or wrong numbers are charged, and what happens to unused usage.
Why is Praktivo not priced per minute?
Praktivo builds AI systems as projects rather than reselling seats or minutes, with Workflow Sprints from $1,500 and Full Journey Builds from $5,000. You own the workflows and data. That model suits businesses with specific call flows and CRM requirements; flat per-minute plans suit simpler answering needs.
A careful read of the lead-response studies everyone cites - what the five-minute rule proves, what it does not, and how to apply it without a data team.
What after-hours HVAC calls are worth, why voicemail loses them, and a capture-triage-dispatch-confirm workflow built to book jobs overnight.
Why CRM data decays, the five hygiene jobs worth automating, a 30-day cleanup plan, and the guardrails that keep records clean once the project ends.
More articles: browse the full Praktivo blog.