QuantFlow®

AI Voice Sales Assistant

Real-time AI-powered voice sales platform automating outbound cold calling. Features bidirectional AI conversations with RAG-powered context awareness for company-specific knowledge during calls.

$0.28

Cost per call

100%

AI-powered conversations

Go + RAG

Tech stack

Internal

Status

AI Voice Sales Assistant Architecture

System architecture — ElevenLabs AI + Twilio VoIP + PostgreSQL with RAG

What if your sales team could make thousands of personalized cold calls without burning out? We built an AI voice assistant that conducts real-time sales conversations, understands your product through RAG, and costs less than $0.30 per call. Built entirely with Claude Code in 4 weeks.

The Problem

Cold calling doesn't scale

Human SDRs are expensive ($60K+ salary), burn out quickly, and can only handle ~50 calls per day. Training takes months, turnover is high, and quality varies wildly between reps.

Existing solutions fall short

Basic dialers just speed up manual work. Chatbots sound robotic and can't handle objections. Pre-recorded messages get ignored. The market needed real AI that can actually converse.

AI Voice Sales Assistant - System Architecture

Real-time voice pipeline: Twilio handles calls, ElevenLabs provides AI conversation, RAG adds context

The Solution

We built a complete AI voice sales platform combining three cutting-edge technologies: ElevenLabs Conversational AI for natural speech, Twilio for global telephony, and PostgreSQL with pgvector for RAG-powered knowledge retrieval. The AI can reference your specific products, pricing, and objection handling in real-time during calls.

Key Capabilities

Real-time AI conversations

Not text-to-speech playback — actual bidirectional conversation. The AI listens, understands context, handles interruptions, and responds naturally within 500ms.

RAG-powered knowledge

Upload your product docs, pricing sheets, and FAQ. The AI retrieves relevant context during calls using vector embeddings, making responses specific to your business.

Multi-tenant architecture

Built for scale from day one. Each organization has isolated data, custom AI agents, and separate billing. Ready for white-label deployment.

Campaign management

Import contact lists, schedule campaigns, track outcomes. Priority queuing ensures hot leads get called first. CRM integration keeps everything in sync.

Unit Economics

At $0.28 per 2.5-minute call, the AI costs 1/50th of a human SDR per conversation. ElevenLabs pricing dropped 56% in 2025, making production deployment economically viable. A 500-call campaign costs ~$140 versus $2,000+ in human labor — with consistent quality and zero burnout.

Technical Stack

Backend

Go with Gin framework. Clean architecture (cmd/internal/pkg). PostgreSQL 15+ with pgvector for RAG. Redis for pub/sub and caching. Target: <100ms API latency.

Voice Pipeline

ElevenLabs Conversational AI via SIP trunk. Twilio Voice for global PSTN connectivity. Asterisk PBX as secondary option. Real-time event streaming for analytics.

Results

The platform is currently deployed for internal client use, demonstrating production-ready AI voice automation. It showcases our capability to integrate multiple complex APIs (ElevenLabs, Twilio, OpenAI) into a cohesive product, all built using Claude Code as the primary development tool.

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