AI voice platform for outbound calls and lead qualification (India) — C4Scale (Internal Product)
Built Voice Machines, our own AI voice platform enabling 10x scale in outbound calls for real estate, insurance, banking, and collections
Client Context & Problem
Voice Machines is C4Scale's own product, used by real estate, insurance, banking and collections firms. Tele-callers rely on it to automate outbound calls and qualify leads without adding headcount.
Pain Points
- Natural human-like conversation requires low-latency speech synthesis and recognition
- Multi-lingual support and automatic language switching
- Staying on script but responding flexibly
- Integrating with telephony and CRM systems
Key Challenges
Natural conversation
Low-latency speech synthesis and recognition for human-like interactions
Multi-lingual support
Support multiple languages with automatic language switching
Flexible scripting
Stay on script while responding flexibly to customer queries
Integration
Integrate with telephony providers and CRM systems
Project Goal
Deliver a platform that uses pre-recorded human voices and LLMs to handle large volumes of calls, answer questions from a trained knowledge base, and deliver qualified leads—all while ensuring compliance and high customer satisfaction.
Success Metrics
- Handle 10x more prospects without hiring
- Natural, human-like voice interactions
- Multi-lingual support with auto-switching
- High lead qualification rates
- Maintain high CSAT
Solution & Voice AI Pipeline
We built a pipeline using Deepgram, Eleven Labs and Sarvam for speech-to-text and text-to-speech, combined with OpenAI models for intent classification and response generation. A knowledge base ingests FAQs and product information. The system supports multiple languages and switches context automatically. Telephony providers route calls; our orchestrator manages conversation flow, fallback to human agents, and call recording. Analytics provide lead scoring and call outcomes.
Architecture
Voice AI pipeline with Deepgram STT, Eleven Labs/Sarvam TTS, OpenAI LLMs, knowledge base, telephony integration, and analytics
Key Components
- Deepgram for speech-to-text (STT)
- Eleven Labs and Sarvam for text-to-speech (TTS)
- OpenAI models for intent classification and response generation
- Knowledge base for FAQs and product info
- Multi-lingual support with automatic language detection
- Telephony provider integration for call routing
- Conversation orchestrator with human escalation
- Call recording and analytics
- Lead scoring engine
Workflow
Configure campaign
Configure campaign details and knowledge base
Initiate call
Platform calls prospects using high-quality TTS voices
Transcribe
STT transcribes responses instantly
Generate response
Intent classifier and knowledge base generate appropriate replies
Handle objections
AI handles objections and questions; escalates to human when needed
Score & forward
Qualified leads are scored and forwarded to sales teams
Multi-lingual
Multi-lingual support flips language based on detection
User Experience
Before
Sales teams manually cold-called prospects; most calls were unqualified; teams could only handle limited volume
- •Manual cold calling by sales teams
- •Most prospects unqualified or uninterested
- •Limited call volume due to headcount constraints
- •Inefficient use of sales team time
- •No multi-lingual support
After
Customers hear human-like voices, get answers quickly, and book appointments without waiting. Agents focus on qualified leads rather than cold calls. Real estate teams expand outreach by 10x without hiring.
- •AI makes outbound calls at scale
- •Human-like voice interactions
- •Instant answers from knowledge base
- •Multi-lingual support with auto-switching
- •Only qualified leads reach sales teams
- •10x more prospects handled without hiring
Impact & Results
Call Volume
Lead Qualification
Language Support
Customer Satisfaction
Business Outcomes
- Companies using Voice Machines see lead qualification rates rise sharply
- Call teams can handle 10x more prospects without hiring
- Multi-lingual support increases reach
- CSAT remains high due to natural conversation
Why C4Scale
End-to-end product
We build products from end to end, combining ASR, TTS, LLMs and telephony
Production at scale
Voice Machines operates at scale across real estate, insurance, banking, and collections
Innovation capability
Building our own products demonstrates our ability to innovate
Multi-lingual expertise
Deep understanding of multi-lingual voice AI in Indian market
Ready to transform your operations?
Let's discuss how C4Scale can help you achieve similar results