Case Studies

Discover how we've transformed businesses with cutting-edge voice and conversational AI solutions

Sales AI Agents

Restaurant Tech Solutions

Challenge

A rapidly growing ERP software company targeting restaurant owners across Latin America and the United States faced significant operational bottlenecks in their sales process. Their sales team spent 8-10 hours daily making cold calls, with low connection rates and high rejection rates. The bilingual market requirement (Spanish and English) meant hiring specialized staff, which was expensive and limited scalability. Language barriers caused frequent miscommunications, lost leads, and missed revenue opportunities. The sales team struggled to maintain consistent follow-up across multiple channels—prospects would request information via WhatsApp while on calls, but tracking these multi-channel conversations in their CRM was manual and error-prone. Lead qualification was inconsistent, with reps spending valuable time on unqualified prospects. The company needed to scale from 50 daily outbound calls to 500+ while maintaining personalized, high-quality conversations that convert, but hiring 10x more bilingual sales reps was financially unfeasible.

Solution

We designed and deployed a sophisticated, enterprise-grade multi-channel AI sales agent system that revolutionized their outbound sales operations. The solution features advanced conversational AI powered by OpenAI's GPT-4 Realtime API and ElevenLabs voice synthesis, enabling natural, human-like sales conversations in both Spanish and English. The AI agent intelligently detects customer language preferences and switches seamlessly mid-conversation when requested, maintaining context and conversation flow. The system is programmed with deep domain knowledge about restaurant operations, ERP systems, inventory management, and industry pain points, allowing it to conduct consultative sales conversations rather than scripted pitches. When prospects express interest, the agent offers to send detailed information via WhatsApp, captures and confirms their WhatsApp number during the call, and immediately triggers an automated workflow through n8n that sends a personalized message with product brochures, pricing information, and scheduling links. All conversation data, lead qualification scores, sentiment analysis, and next steps are automatically logged to Google Sheets and synced with their existing CRM in real-time. The agent handles objections using pre-programmed response strategies, schedules follow-up calls, and escalates high-intent leads to human sales reps with full conversation transcripts and context. The system operates 24/7 across all time zones, making it possible to reach Latin American prospects during their business hours without requiring night shifts for US-based staff.

Implementation Details

Multi-lingual Voice AI Engine - Native Spanish conversation capabilities with real-time English switching triggered by customer request or language detection. Supports Mexican, Colombian, Argentine, and Castilian Spanish dialects, plus US and UK English accents.

Omnichannel Orchestration System - Seamless voice call to WhatsApp handoff with full context preservation. Conversation history, customer preferences, and qualification data travel across channels without information loss.

Intelligent Lead Qualification Logic - Custom decision trees and scoring algorithms for restaurant owner profiling based on restaurant size, current systems, pain points, budget indicators, and purchase intent signals.

Real-time CRM Integration - Bidirectional data sync with sales dashboard. Every call logs contact details, conversation transcript, sentiment score, qualification status, and next action. Sales reps receive instant notifications for high-priority leads.

Natural Language Understanding - Custom-trained NLU models for restaurant industry terminology, ERP feature descriptions, and sales objection handling. Recognizes 50+ common objections and responds with contextually appropriate counter-arguments.

Conversation Analytics - Post-call analysis includes sentiment scoring, talk-to-listen ratio, objection frequency, buying signal detection, and conversation quality metrics to continuously improve agent performance.

Listen to the Demo

🎵Live Sales AI Demo - Spanish to English

0:000:00

Results

10x increase in daily outreach: From 50 to 500+ daily calls without additional headcount

Seamless bilingual conversations with natural language transitions and 95% language detection accuracy

100% lead data capture across voice and messaging channels with zero manual data entry

24/7 availability across all time zones: Latin America, US East Coast, and US West Coast coverage

60% reduction in cost per qualified lead by eliminating manual outbound labor costs

40% improvement in lead qualification accuracy using AI-driven conversation analysis

3.5x increase in WhatsApp engagement rates compared to email follow-ups

Average call duration of 4-6 minutes with 78% conversation completion rate

Human sales team now focuses exclusively on high-intent leads, improving close rates by 35%

Technologies Used

OpenAI GPT-4 Realtime APIElevenLabs Voice SynthesisWhatsApp Business APIn8n Workflow OrchestrationGoogle Sheets APICustom CRM IntegrationTwilio Voice PlatformSentiment Analysis AICustom NLU Pipeline

Enterprise Customer Support AI

Global Tech Corporation

Challenge

Handling 10,000+ daily customer inquiries across multiple languages with limited support staff

Solution

Implemented an advanced conversational AI system with multilingual voice recognition, natural language understanding, and automated response generation. The system integrates with existing CRM and ticketing systems.

Results

85% reduction in average response time

70% of queries resolved without human intervention

95% customer satisfaction rate

Support for 12 languages simultaneously

Technologies Used

GPT-4Whisper APIElevenLabsCustom NLU Pipeline

AI-Powered Voice Assistant for Healthcare

MediCare Solutions

Challenge

Healthcare providers needed a HIPAA-compliant voice assistant for patient intake and appointment scheduling

Solution

Developed a secure, HIPAA-compliant voice AI system that conducts patient intake interviews, schedules appointments, and provides medication reminders. The system uses advanced voice biometrics for patient verification.

Results

60% reduction in administrative workload

40% increase in appointment booking efficiency

100% HIPAA compliance maintained

92% patient adoption rate within 3 months

Technologies Used

Azure Speech ServicesCustom Healthcare NLUVoice BiometricsFHIR Integration

Intelligent Call Center Automation

TeleServices Inc.

Challenge

Call center struggling with high call volumes, long wait times, and agent burnout

Solution

Built an intelligent call routing system with real-time sentiment analysis, conversation summarization, and automated quality assurance. AI handles tier-1 queries while seamlessly escalating complex issues to human agents.

Results

50% reduction in average call handling time

35% decrease in agent turnover

90% first-call resolution for automated interactions

$2.5M annual cost savings

Technologies Used

Custom ASR ModelsSentiment Analysis AILLM-based SummarizationAWS Connect Integration

Real-Time Translation for Virtual Events

GlobalConf Events

Challenge

International conference needed real-time translation for speakers and attendees across 20+ languages

Solution

Created a real-time speech-to-speech translation system with speaker diarization, accent adaptation, and context-aware translation. The system provides both live voice translation and text captions.

Results

Simultaneous translation for 25 languages

98% translation accuracy for technical content

50,000+ attendees served across 5 conferences

Zero technical interruptions during live events

Technologies Used

Whisper Large-v3Custom Translation ModelsSpeaker DiarizationLow-latency Streaming