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. Building a production agent v1 usually takes 10–20 weeks. The running side has no honest per-minute rate, because your providers meter it at your own volume. CODT Technologies fixes both in writing after a free 4-hour workshop.
CODT Technologies does not publish prices, and you won't find market averages here either. A number given before anyone has seen your workflows is a guess. Effort is set by complexity: integrations, compliance, data migration and the reliability you need on day one. So it starts with a free 4-hour workshop. We suggest the solution we think fits best, and once the scope is clear you get a written plan and a fixed quote within 3 working days.
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
What it means for your quoteWhat 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 workshop, 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 workshop
What it means for your quoteThe telephony layer carries no standalone price — one carrier in one market and number provisioning across several are different builds. This layer is what decides where an agent lands; the model rarely is. It is scoped against your markets and telephony stack in the workshop, 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
What it means for your quoteA production agent v1 (AI engineer + backend) usually takes 10–20 weeks: one well-defined qualifying conversation sits at the short end, per-tenant scripts across several languages at the long end. Which conversations v1 owns is pinned down in the workshop, and your 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
What it means for your quoteHandoff 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 workshop 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
What it means for your quoteTuning lives in a care plan sized in hours, from 15 to 60 a month, set out in the FAQ below. The tuning loop is planned as its own line alongside the build rather than arriving as emergency work.
Reading this for a live project?
Talk it through — no pitchHow a voice agent gets its price.
Scope the calls
In a free 4-hour workshop we scope the agent together: the conversations it owns, your escalation and handoff rules, telephony and CRM integrations, and expected call volume. Within 3 working days you get the written scope, yours to keep with or without us, and a quote.
Build fixed, usage forecast
The quote holds 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.
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
Put it in a brief. A senior engineer reads it and replies within one business day.
How much does an AI voice agent cost?
We don't publish a price for it, and we don't quote market figures either. Plan the build in effort instead: a production v1 usually takes 10–20 weeks (team: AI engineer + backend). The conversations it has to carry move the size most: per-tenant scripts in several languages are far more work than a single qualifying call. The running cost is separate: model and telephony fees your providers meter at your own call volume. After a free 4-hour workshop we suggest the setup we think fits best, and once the scope is clear you get a written plan, a usage estimate for your traffic and a fixed build quote within 3 working days.
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. Before you sign we estimate the 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 care plan sized in hours: 15 a month, 30, or 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 quoted so the loop is planned.
How do we start?
With a free 4-hour workshop: we scope the conversations, handoff rules, integrations and call volume together, and within 3 working days you get a written scope and a quote. For a well-defined agent that quote carries the fixed price; if the scope is still open, a short paid discovery sprint comes first, and its cost counts in full towards the build. Either way, the price is fixed in writing before the build starts.
Weighing a voice agent? Build and running cost, fixed in writing after a free 4-hour workshop.
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