Voice bot (call-center)

A voice bot is a call-center system that handles inbound (and if needed outbound) calls: recognizes speech (878), understands the request via a language model, answers in a synthesized voice, performs routine scenarios (order status, booking/rescheduling, answers to frequent questions, routing) and passes complex and emotional cases to an operator. Honestly about speech recognition, this is key: recognition accuracy is NOT one hundred percent — it is affected by noise, connection quality, accents, diction, background voices, specific vocabulary. The bot will sometimes misunderstand — so we build in re-asking, confirmation and smooth handover to a human rather than pretend it understands perfectly. Honestly about replacing operators: the voice bot offloads the line (takes routine, works around the clock, holds peaks), but does NOT fully replace operators — the complex, disputed, emotional must be handled by a human. Without good operator handover the bot harms. Honestly about annoyance: a poorly made or imposed voice bot ('state your issue briefly'… did not understand… in circles) angers clients more than a queue. We design short clear scenarios and a fast exit to a human. Honestly about the law: recording and processing voice data require consent and privacy compliance — this is built in. Honestly about cost: recognition, synthesis and the model's work are paid resources, costs grow with call volume. Honestly about the effect: it reduces load and wait time but does not guarantee 'perfect service without people'. Honestly about access: telephony/integrations and scenarios are needed. An important boundary: this is a voice bot; speech recognition as a component — 878; text chatbot — 867. Picture this: instead of 'busy, wait for an operator' — the bot solves routine right away and passes the complex to a human. The base price starts from 70,000 ₽ (depends on scenarios and integrations).

• The call center is overloaded with routine calls, queues and waiting.
• Outside business hours calls go unanswered.
• Operators spend time on the same questions.
• A 24/7 line is needed, but expanding staff is expensive.

• Voice bot: call intake, recognition (878), voice answers
• Routine scenarios (status, booking, frequent questions, routing)
• Re-asking/confirmation on uncertain recognition
• Smooth handover of complex/emotional cases to an operator
• Recording consent and privacy (a legal requirement)
• Honest boundaries (recognition not 100%; not a people replacement)
• Integration with telephony and systems
• Handover and review with you

• The bot takes routine calls and works 24/7
• Fewer queues and less wait time
• Handover of the complex to an operator (not 'a bot instead of people')
• Honest boundaries (recognition errors, cost, consent)

• We define scenarios, telephony, critical cases; collect access
• We set up recognition, answers, re-asking, operator handover
• We test on real calls, honestly set boundaries with you

• Will the bot always understand correctly what the client says?

  No, and that is honest: speech recognition is not one hundred percent — noise, poor connection, accents, diction, specific vocabulary interfere. The bot will sometimes misunderstand. So we build in re-asking, confirmation of the important and fast handover to an operator on uncertainty. Pretending the bot understands perfectly would be dishonest and would annoy clients.

• Will the voice bot fully replace operators?

  No, honestly: it offloads the line (takes routine, works 24/7, holds peaks), but does not fully replace operators. The complex, disputed and emotional must be handled by a human. We design a fast and clear exit to an operator — without it the bot only angers. The goal is to take routine off people, not remove people.

• And is recording calls legal?

  Only with consent and privacy compliance, and we build that in. Recording and processing voice require notification and consent by law, and voice is personal data. We set up correct consent and careful handling of recordings. Ignoring this is not allowed — it is a legal risk and a matter of client trust.