Article

Russian and Kazakh Voice Messages: How ZiFlow.Me Saves Them to CRM

How ZiFlow.Me transcribes voice messages from WhatsApp and Telegram, replies in text, keeps context in CRM, and helps the owner see those requests in briefings.

April 29, 20262 min readBy: ZiFlow Team

In Kazakhstan, clients often send voice messages and mix Russian with Kazakh in one sentence. ZiFlow.Me turns that audio into text, lets the assistant reply, and keeps the meaning in CRM.

Voice Flow

Client sends audio

The message arrives from WhatsApp or Telegram. It can be Russian, Kazakh, or mixed speech.

ZiFlow.Me transcribes it

Audio becomes text. The assistant then works with text plus previous conversation context.

Assistant replies by business rules

For price, time, address, or booking questions, the reply uses your services, price list, hours, and instructions.

CRM keeps the history

The transcription and reply stay in the client card, so the team sees the meaning of the voice request.

Briefing shows the activity

The daily briefing shows the owner activity for the last 24 hours. On Team, the owner can ask: "What did Aizhan write?" or "Show recent conversations."

Where It Works Best

  • short voice messages under a minute;
  • ordinary speech without heavy background noise;
  • common questions about price, booking, address, and hours;
  • mixed phrases where context is clear;
  • returning clients with existing CRM history.

How to Prepare

What to addWhy it helps
Russian and Kazakh service namesThe assistant understands real client phrasing
Frequent questionsReplies work for both text and voice
Clarification rulesIf time, name, or service is unclear, the assistant asks again
CRM statusesVoice requests enter the normal funnel
Owner TelegramThe owner can ask the AI about clients and recent requests

Example

Client sends: "Salem, zavtra keshke manicurege oryn bar ma, bagasy kansha?"

The assistant understands the meaning and replies:

Hello! Manicure is 8,000 KZT. I can check tomorrow evening. What time would be convenient?

If a work calendar is connected and the client names an exact time, ZiFlow.Me can create an event. If details are missing, the assistant clarifies.

Summary

Voice messages in ZiFlow.Me are part of the CRM workflow: the client speaks naturally, the assistant replies in text, CRM saves the context, and the owner sees the picture through briefings and the Telegram advisor.

Test how ZiFlow.Me understands your clients' voice messages.
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Frequently asked

Yes. The voice message is transcribed to text first, then the assistant replies by meaning and saves the context in conversation history.
Yes, when the meaning is recognizable. Quality depends on noise, diction, message length, and terminology.
The main client scenario is text replies. The owner's Telegram advisor can also work with voice in a separate owner workflow.
The transcription stays in history, so the owner can review it in CRM and ask the Telegram advisor about the client or recent conversations.

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