Voice AI Bot for IVR (Interactive Voice Response) Implementation

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Voice AI Bot for IVR (Interactive Voice Response) Implementation
Medium
from 1 week to 3 months
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Implementation of an AI voice bot for IVR (Interactive Voice Response) AI-IVR replaces the touch-tone menu ("press 1 to...") with a natural dialogue: the user says what he wants, the system directs him to the right place without pressing buttons. Reduces navigation time from 60-120 sec to 10-20 sec. ### Comparison of traditional and AI-IVR | Parameter | DTMF IVR | AI IVR | |---------|----------|--------| | Navigation | 3-5 menu levels | 1-2 questions | | Time to operator | 60-120 sec | 10-20 sec | | Caller experience | Low | High | | Routing accuracy | ~90% (with the right buttons) | 85-95% | | Development cost | Low | Medium | ### NLU for routing

ROUTING_DESTINATIONS = {
    "technical_support": [
        "не работает", "сломалось", "ошибка", "проблема с", "техподдержка"
    ],
    "billing": [
        "оплата", "счёт", "задолженность", "списание", "тариф", "деньги"
    ],
    "new_connection": [
        "подключить", "новый договор", "тариф", "оформить", "заявка"
    ],
    "general_info": [
        "информация", "узнать", "как работает", "что такое"
    ]
}

async def route_call(user_text: str) -> str:
    """Определяем направление маршрутизации"""
    response = await client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[{
            "role": "system",
            "content": f"""Маршрутизируй звонок. Направления: {list(ROUTING_DESTINATIONS.keys())}.
                Верни JSON: {{"destination": "...", "confidence": 0.0-1.0}}"""
        }, {"role": "user", "content": user_text}],
        response_format={"type": "json_object"}
    )
    result = json.loads(response.choices[0].message.content)
    if result["confidence"] < 0.7:
        return "clarification_needed"
    return result["destination"]
```### Data collection in IVR```python
DATA_COLLECTION_PROMPTS = {
    "phone_verification": "Назовите последние 4 цифры вашего номера телефона.",
    "order_number": "Назовите номер вашего заказа.",
    "date_of_birth": "Назовите дату вашего рождения для верификации."
}

def extract_digits(text: str) -> str:
    """Извлекаем цифры из распознанного текста"""
    import re
    # "три четыре пять шесть" → "3456"
    num_words = {
        "один": "1", "два": "2", "три": "3", "четыре": "4",
        "пять": "5", "шесть": "6", "семь": "7", "восемь": "8",
        "девять": "9", "ноль": "0"
    }
    result = text
    for word, digit in num_words.items():
        result = result.replace(word, digit)
    return re.sub(r'[^\d]', '', result)
```### Integration with telephony platforms We support integration with: - **Twilio**: TwiML + Media Streams WebSocket - **Voximplant**: VoxEngine + WebSocket - **FreePBX/Asterisk**: AGI + ARI Timeframe: Basic AI-IVR with 5 directions — 2–3 weeks. Complete DTMF replacement with analytics — 4–6 weeks.