Synthflow Voice AI Agent Platform Implementation

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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Synthflow Voice AI Agent Platform Implementation
Simple
from 1 business day to 3 business days
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Voice AI agents on the Synthflow platform Synthflow is a no-code/low-code platform for creating voice AI agents with a focus on business users without deep technical knowledge. Strengths: dialogue builder with a visual editor, built-in integration with popular CRMs (Hub

Spot, Salesforce, GoHighLevel), and ready-made templates for typical business scenarios. ### Key features Agent builder — a visual interface for creating conversation scenarios without coding. The agent is customized via drag-and-drop: question blocks, conditional branches, data collection blocks, triggers for CRM actions. White-label solution — agencies and SaaS companies can resell Synthflow under their brand. Custom domain, logo, and color scheme are supported. Multi-channel — one agent works on telephony (incoming and outgoing), a web widget, and in embedded mode via API. ### Basic integration via API```python import requests

class SynthflowClient: """Управление агентами Synthflow через REST API"""

def __init__(self, api_key: str):
    self.headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }
    self.base_url = "https://api.synthflow.ai/v2"

def trigger_outbound_call(self, agent_id: str,
                           phone_number: str,
                           contact_data: dict = None) -> dict:
    """Запуск исходящего звонка от имени агента"""
    payload = {
        "agentId": agent_id,
        "phone": phone_number,
    }
    if contact_data:
        payload["variables"] = contact_data  # Данные для персонализации

    response = requests.post(
        f"{self.base_url}/call",
        json=payload,
        headers=self.headers
    )
    return response.json()

def bulk_outbound_calls(self, agent_id: str,
                          contacts: list[dict],
                          schedule_time: str = None) -> dict:
    """Массовый обзвон из списка контактов"""
    payload = {
        "agentId": agent_id,
        "contacts": contacts,  # [{"phone": "+7...", "name": "...", ...}]
    }
    if schedule_time:
        payload["scheduledAt"] = schedule_time  # ISO 8601

    response = requests.post(
        f"{self.base_url}/calls/bulk",
        json=payload,
        headers=self.headers
    )
    return response.json()