Will the caller know they're talking to a bot?

Yes, and we don't recommend hiding it — honesty works better. Modern voice sounds natural, but we insist the bot identifies itself upfront. What matters to the caller isn't "human or bot" but whether their question got resolved quickly. If the bot can't handle something, it hands off to a manager instead of stalling in circles.

What happens with calls the bot can't handle?

We build in handoff rules: a complex question, a nonstandard request, an upset tone, a direct request for a manager. The bot doesn't pretend it handled it — it transfers the call and gives the manager a short summary, so the client doesn't have to repeat everything from scratch.

Do I need a dedicated phone number?

Not necessarily. We connect to your virtual PBX or SIP number: the bot can take every call, only pick up after N rings, or work only outside business hours — however you set it up. If you don't have telephony in place yet, we'll suggest a simple solution sized to your call volume.

How is a voice bot different from a chatbot?

The channel. A chatbot works wherever the client types — website, Telegram, messengers. A voice bot works on the phone line, where the client talks. The logic underneath is similar (understanding the request, acting on rules, handing off to a human); the communication channel is what's different. If your clients mostly write instead of call, look at chatbots and AI agents.

How much does a voice bot cost?

It depends on the number of scenarios, integrations (telephony, calendar, CRM), and call volume — speech recognition and synthesis cost per minute is factored in separately. We give an exact range after breaking down your calls. Before that, any number would just be a guess.

Who doesn't need a voice bot?

If call volume is low and every call is a live expert consultation, a bot isn't the right move — it's great at handling routine and peak load, not at replacing a specialist. Same if booking and questions have already fully moved online and almost no one calls. We'll say so honestly during the breakdown if we don't see the benefit.

Service

Voice bot: no call goes unanswered

A call at 9pm, after the team has gone home. Three clients on hold while one is on the line. A missed call means a lost lead. A voice AI picks up 24/7: understands the request, books, routes — and hands off to a human when needed. Stack: Node.js + OpenAI / Anthropic.

What a voice bot does

Three call scenarios where AI never drops a call

Answer and route
The bot picks up on the first ring, finds out what the client needs, and connects them to the right department or manager. While your team is busy, no one listens to ringing and hangs up on a competitor.
Fits: high call volume where a share of calls are routine questions and transfers.Doesn't fit: call volume is low and every call is a live expert consultation.
Booking
A client calls — the bot offers open slots, books the service or the table, logs it in your calendar or CRM, and sends a confirmation. Your front-desk staff stop being tied to the phone instead of doing their job.
Fits: clinics, salons, service businesses, delivery, restaurants — phone-based booking.Doesn't fit: booking already happens online and almost no one calls.
24/7 line
Evenings, weekends, peak load — the bot holds the line, answers routine questions, logs the request, and hands the manager a ready-made summary in the morning. No more calling back blind — the manager sees exactly what the call was about.
Fits: real estate, delivery, service businesses — calls outside hours and at peak times.Doesn't fit: the client needs an expert's live answer right away, not a logged request.

How it works

Understands language, acts on rules — and knows when to hand off to a human

What's included

Natural language understanding. The bot understands what the client says in their own words, not "press 1 for...". Works in Ukrainian and Russian, and keeps the context of the conversation.
Rule-based handoff. A complex question, an upset client, a request outside the script — the bot doesn't pretend it handled it, it connects to a manager and passes along what's already been discussed.
Calendar and CRM logging. Bookings, appointments, and new leads go straight into your Google Calendar or CRM — no manual entry from a phone call.
Telephony connection. We integrate with your virtual PBX or SIP number — a dedicated number isn't required, the bot works on your existing line.
Transcripts and call log. Every conversation is saved as text: what the call was about, what the bot did, where it handed off. Useful for both quality control and analyzing requests.
Stack: Node.js + OpenAI / Anthropic (speech recognition, logic, voice synthesis). Data is processed under enterprise API terms. NDA before we start.

How we work

One call scenario first — then the whole line

Call breakdown
We listen to why people call you: which questions are routine, where a live person is needed, how many calls and when peak hours hit. We define the first scenario for the bot. Deliverable: a call map + a launch scenario + handoff rules + timeline and budget range.
Prototype on a test number
We stand up the bot on a test number you can call to hear how it works. We tune the language, tone, script, and the moment it hands off to a human. Deliverable: a working prototype you can listen to + a revision list after the first call.
Telephony, calendar, CRM
We connect your PBX or number, integrate booking into the calendar and CRM, and configure the handoff to a manager. We test on real scenarios. Deliverable: a bot live on your line with all connections + a test checklist for each call scenario.
Launch and transcript review
We go live and spend the first weeks reviewing calls together: where the bot understood correctly, where it handed off, what needs tuning. Deliverable: the bot live + a transcript log + metrics (share of calls handled, number of handoffs) + a support agreement.

FAQ

What people ask about voice bots

Ask about AI

Yes, and we don't recommend hiding it — honesty works better. Modern voice sounds natural, but we insist the bot identifies itself upfront. What matters to the caller isn't "human or bot" but whether their question got resolved quickly. If the bot can't handle something, it hands off to a manager instead of stalling in circles.
We build in handoff rules: a complex question, a nonstandard request, an upset tone, a direct request for a manager. The bot doesn't pretend it handled it — it transfers the call and gives the manager a short summary, so the client doesn't have to repeat everything from scratch.
Not necessarily. We connect to your virtual PBX or SIP number: the bot can take every call, only pick up after N rings, or work only outside business hours — however you set it up. If you don't have telephony in place yet, we'll suggest a simple solution sized to your call volume.
The channel. A chatbot works wherever the client types — website, Telegram, messengers. A voice bot works on the phone line, where the client talks. The logic underneath is similar (understanding the request, acting on rules, handing off to a human); the communication channel is what's different. If your clients mostly write instead of call, look at chatbots and AI agents.
It depends on the number of scenarios, integrations (telephony, calendar, CRM), and call volume — speech recognition and synthesis cost per minute is factored in separately. We give an exact range after breaking down your calls. Before that, any number would just be a guess.
If call volume is low and every call is a live expert consultation, a bot isn't the right move — it's great at handling routine and peak load, not at replacing a specialist. Same if booking and questions have already fully moved online and almost no one calls. We'll say so honestly during the breakdown if we don't see the benefit.

Discuss your project

Let's break down your calls — we'll show you the bot in action

30 minutesOne-on-one online
Flexible formatVideo or phone call
Solution-focusedPractical answers

More detail

When a voice bot on the line pays off — and when it doesn't

A voice bot (phone AI agent) is a program that answers phone calls, understands the client's natural speech, carries a scripted conversation, and takes action: booking, routing, handing off to a manager. Apricode — a team of engineers from Kharkiv, in web development since 2016, working with clients worldwide — builds these bots on Node.js with speech recognition and logic powered by OpenAI and Anthropic. It's fundamentally the same AI agent, just with voice instead of text as the channel.

What a missed call actually costs

A call outside business hours, a busy line at peak time, the front desk at lunch — and the caller hangs up. In service businesses, a missed call almost always means a lost lead: the caller dials the next result and never comes back. A voice bot closes that gap: it picks up on the first ring at any hour, logs the request, and either resolves it itself or hands the manager a ready summary of what the client said. The line stops being a bottleneck.

A voice bot works best where there's a high volume of similar calls. Clinics: "book me with the doctor tomorrow." Delivery: "where's my order." Real estate: "is this apartment still available." Auto repair: "can I get a diagnostic on Saturday." These are repeatable scenarios the bot closes on its own, escalating the complex cases. Managers get free of "phone duty" and only take the calls that actually need them.Business process automation →

Voice or text: which channel is yours

A voice bot is the phone-based sibling of a chatbot. The logic underneath is the same: understand the request, act on rules, hand off to a human when needed. The difference is the channel. If your clients call, you need voice. If they write on the website, in Telegram, or in messengers, you need a chatbot or an AI agent — usually simpler and cheaper than voice. It often makes sense to have both channels, but start with the one where you're losing the most right now.AI agents and chatbots →

Let's be honest: voice isn't for everyone. If call volume is low and every call is a live expert consultation, a bot will only get in the way — that's where a human is exactly what's valuable. A voice bot pays off on volume and routine: dozens of calls a day, predictable scenarios, calls outside business hours. In those cases it genuinely takes load off the team; in other cases we'll say so plainly during the breakdown. The same natural-language understanding and rule-based action already powers the AI module in our Apros CRM.CRM for business →

We'll break down your calls with real examples: listen to why people call you and show which scenarios the bot would close and which we'd leave to a person. If you'd rather see the full range of our AI work first, start with an overview of our AI solutions for business.AI for business: overview →

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