What actually moves the price of an AI voice agent.
AI voice agent pricing has two parts: a build cost (telephony, qualification logic, handoff design) and a running cost that scales with call volume. The AI model fees are usually the smallest line in both. A production agent v1 lands $25,000–60,000; the running side we do not publish as a per-minute rate, because your providers meter it at your own volume.
Indicative 2026 bands, not a quote. What moves the number is complexity — integrations, compliance, data migration and the reliability bar you need on day one. Every engagement is priced fixed and in writing after a paid discovery sprint, and the sprint is credited in full against the build.
What moves a voice-agent price up or down.
Call volume and usage fees
The running cost of a voice agent scales with minutes: model and telephony fees are metered per minute of conversation (and per token on the model side), so a hundred calls a week and a thousand calls a day are different economics. Volume also changes the engineering — LeadTrack AI's platform has handled 100K+ live calls, and a platform that expects that volume gets designed differently.
What moves it- Calls per day and average minutes per call
- Model and telephony fees metered at your volume
- Peaks — the campaign spikes the platform must absorb
Where the number landsWhat volume changes on our side is infrastructure sizing: how many calls the platform carries at once, how it absorbs a campaign peak, and the queueing and failover behind that. The sizing and an estimate of your provider fees at that volume both come out of the discovery sprint, before you commit.
Telephony and latency engineering
Everything about a voice agent happens on a live phone line. Real-time audio, carrier integration and keeping response gaps inside natural conversational rhythm are hard engineering — voice AI tolerates no awkward pause, and prospects hang up on robots. Most of LeadTrack's build budget went into this layer rather than the model.
What moves it- Real-time audio pipeline and the latency budget
- Carrier integration and number provisioning per market
- Interruptions, accents and tangents handled mid-call
- Call-recording consent and outbound dialing rules in each market, pinned down in the discovery sprint
Where the number landsThe telephony layer carries no standalone price — one carrier in one market and number provisioning across several are different builds. This layer is what decides an agent's band; the model rarely is. It is scoped against your markets and telephony stack in the discovery sprint, and the latency bar goes into the quote as an engineering commitment.
Qualification logic and conversation scope
What must the agent find out, and how many ways can the conversation go? One tightly defined qualifying conversation stays cheap next to an open-ended assistant; every added intent, script variant and language widens the scope again. On LeadTrack, per-tenant scripts and intent scoring are tuned to each customer's pipeline definitions — that logic is the product.
What moves it- Intents and outcomes the agent must handle end to end
- Script variants, languages and voices
- Intent scoring tuned to your pipeline definitions
Where the number landsA production agent v1 (AI engineer + backend, 10–20 weeks) lands $25,000–60,000: one well-defined qualifying conversation sits near the bottom of that band, per-tenant scripts across several languages near the top. Which conversations v1 owns is pinned down in the discovery sprint, and the quote prices exactly that list.
Human-handoff design
The most consequential design decision is when the agent stops talking. Live transfer to a rep with the transcript and intent score attached, warm-handoff rules, escalation paths for conversations off the script — designed well, humans join exactly where the conversation earns it; designed badly, the agent burns the leads it was built to save.
What moves it- When and how calls route to humans, with transcript and context attached
- Escalation rules for calls that leave the script
Where the number landsHandoff has no separate price tag — it is scope, and how much depends on your sales process: a single warm transfer is a small piece of work next to a full escalation matrix. The reliable statement is that designing it late costs more than designing it early, in lost leads before it costs anything in engineering. Handoff rules are designed with your sales team in the discovery sprint and built into the fixed scope.
Tuning after launch
No voice agent stays finished: real calls surface edge intents no script predicted, models update, qualification criteria evolve with your pipeline. LeadTrack's agents kept improving because every call feeds outcome tracking and behavioural evaluation — that loop is a running budget line, and an honest pricing guide says so.
What moves it- Transcript review and evaluation cycles
- Script and model updates as real traffic teaches
- Outcome tracking tied to your pipeline definitions
Where the number landsTuning lives in a care plan from $550 a month — three fixed plans, itemised in the FAQ below. The tuning loop is planned as its own transparent line alongside the build rather than arriving as emergency work. Indicative band, not a quote — the fixed number comes out of a paid discovery sprint and is credited against the build.
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Bespreek het — zonder pitchHow a voice agent gets its price.
Scope the calls
$2,900–4,900 over 1–2 weeks, credited in full against the build that follows. We scope the agent together: the conversations it owns, your escalation and handoff rules, telephony and CRM integrations, and expected call volume. The sprint is paid because the scope it produces is an asset in itself — yours to keep, with or without us. The first workshop and a high-level estimate are free — usually back within three working days.
Build fixed, usage forecast
The sprint ends in a number: a fixed build budget with fixed milestones, plus usage fees estimated at your call volume so the running cost sits on the table from the start. If the scope shifts later, the quote is reopened with you, and nothing extra bills until you have approved it.
Ongoing tuning
After launch the tuning starts: transcript review, script evolution and model updates, inside the care plan you picked. LeadTrack's agents improved exactly this way — on real calls, with the outcomes tracked.
No open-ended day rates, no invoice you have to decode. Code, IP and infrastructure all become yours, and we sign an NDA on request. Indicative band, not a quote — the fixed number comes out of a paid discovery sprint and is credited against the build.
What a production voice agent actually took.
LeadTrack AI — the platform behind the price
For LeadTrack AI (Australia) we engineered the full voice-agent platform: natural, interruptible conversation, instant auto-dialling, per-tenant qualification logic, live human handoff and call analytics. The price of a voice agent is the price of that platform working, demonstrated across more than a hundred thousand live calls, with conversion up 38%.
The ops layer — where AI running budgets live
The cost lesson generalises across our AI portfolio: on FeelEat's demand-forecasting platform, the model itself was the quick part, and the pipelines, drift monitoring and operational views around it took the real time. Voice agents follow the same curve — the evaluation and tuning layer around the model is where the running budget lives, and where the value holds.
Plain answers on AI voice agent pricing
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How much does an AI voice agent cost?
Plan on $25,000–60,000 to build a production v1 over 10–20 weeks (team: AI engineer + backend). Within that band, the conversations it has to carry move the number most: per-tenant scripts in several languages cost more than a single qualifying call. The running cost is separate: model and telephony fees metered by your providers at your own call volume, estimated for your traffic in the discovery sprint rather than published as a rate that would not be yours. Indicative band, not a quote — the fixed number comes out of a paid discovery sprint and is credited against the build.
Why don't you publish a per-minute rate?
Because a per-minute rate hides the two things that actually decide your economics: what the platform around the model must do, and what your call volume really is. A rate honest enough to cover both would be too wide to mean anything. We estimate usage at your volume and fix the build in writing instead.
Isn't the AI model the main cost?
No — model fees are usually the smallest line. The budget lives in the engineering around the model: telephony and latency, qualification logic, human handoff and the evaluation loop that makes the agent safe with real callers. That platform is where LeadTrack AI's budget went, and it has now carried more than 100,000 live calls.
What does call volume change?
Almost everything on the running side: your providers meter model and telephony fees per minute of conversation (and per token on the model side), and volume determines the infrastructure the platform needs and the pace at which the tuning loop learns. We do not publish a per-minute figure because the meter belongs to your providers. The discovery sprint estimates fees at your expected volume, with peaks named, so the meter is never a surprise.
What happens when a call goes off the script?
We treat that as a design requirement rather than an edge case: escalation rules route the conversation to a human, live, with the transcript and intent score attached. On LeadTrack, humans step in exactly where the conversation earns it — handoff design is part of the fixed scope, and one of the drivers that genuinely moves the price.
What does the agent cost after launch?
Two lines, both visible up front. The tuning loop (transcript review, script evolution, model updates) is a fixed care plan: $550 a month for 15 hours, $1,050 for 30, or $1,950 for 60 with a named engineer who knows the codebase. Alongside it sit usage-based model and telephony fees at your call volume, metered by your providers. Voice agents that skip the first line stop improving; ours are priced so the loop is planned.
How do we start?
With a paid discovery sprint: we scope the conversations, handoff rules, integrations and call volume together, and the price is fixed before the build starts.
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