Service · Dubai, UAE

VAPI VOICE
AGENT DEVELOPER

I'm Khemraj Rikhari - a Vapi Voice Agent developer based in Dubai. I build AI phone agents that answer calls, qualify leads, book appointments, and handle customer queries 24/7 without human intervention. My live voice agent handles 1,000+ calls per day - bilingual Hindi and English - built on Vapi + ElevenLabs + Twilio + Make.com.

Whether you need an AI receptionist, outbound sales dialer, or appointment booking agent - I build production-grade voice agents with natural-sounding voices, smart fallback logic, CRM integration, and real-time call transcription. Trusted by UAE businesses to eliminate missed calls and automate follow-ups.

Inbound AI receptionist (24/7 call handling)
Outbound lead qualification & follow-up agents
Appointment booking with calendar integration
Bilingual voice agents (English + Hindi / Arabic)
ElevenLabs voice cloning & custom voice setup
Twilio number provisioning & call routing
Make.com / n8n CRM & webhook integration
Real-time transcription & call summary automation

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The Reality

What a Production AI Voice Agent Actually Looks Like

I built a bilingual AI voice agent - Hindi and English - that handles 1,000+ inbound and outbound calls per day for a B2B brand. It qualifies leads, books appointments, and captures CRM data - without a single human agent on the line. The system runs 24/7 on ElevenLabs voice synthesis, Twilio telephony, and Make.com orchestration.

This is not a demo - it is a live revenue system. Production voice agents need proper fallback logic, CRM integration, latency tuning, and ongoing monitoring. That is what separates a working agent from a prototype that breaks under real call volume.

Voice Agent Stack

VapiElevenLabsTwilioMake.comRetell AIOpenAIClaude APICRM IntegrationsWebhook Handlers

Use Cases

What Voice Agents Handle

Inbound lead qualification - answer calls, ask qualifying questions, log to CRM

Outbound appointment setting - call leads from a list, book calendar slots

B2B order follow-up and delivery status updates

Customer support first-line triage and FAQ handling

Survey and feedback collection at scale

Missed call recovery - auto-callback with context

FAQ

Common Questions

Which is better - Vapi, ElevenLabs, or Retell for AI voice agents?

Vapi gives the most developer control and is best for production deployments with custom logic. ElevenLabs has the most natural voice quality. Retell is fastest to prototype. I have built on all three - the right choice depends on your call volume, latency requirements, and integration needs.

How much does an AI voice agent cost to build?

Build cost ranges from AED 10,000 to AED 60,000 depending on complexity, number of languages, CRM integrations, and call logic. Ongoing cost is per-minute telephony (Twilio) plus API usage - typically 70–80% cheaper than human agents at scale.

Can the voice agent speak in Arabic or Hindi?

Yes - I have built bilingual Hindi and English agents. Arabic is supported via ElevenLabs and OpenAI. Multi-language routing (detect caller language and switch) is also possible.

How long does it take to build and deploy?

A basic inbound qualification agent can be live in 5–7 days. A full outbound system with CRM integration and custom logic takes 2–4 weeks.

What happens when the AI cannot answer a question?

I build fallback logic - the agent either transfers to a human, takes a message and flags for callback, or escalates via WhatsApp. No call ends without a resolution path.

Get Started

Want a Voice Agent That Handles 1,000+ Calls Per Day?

Book a free consultation. I will walk you through the exact architecture that handles our current production call volume and what it would take to build yours.

Book a Free Consultation →

The Problem

Human Agents Cannot Scale - AI Agents Can

I built a bilingual AI voice agent - Hindi and English - that handles 1,000+ inbound and outbound calls per day. It qualifies leads, books appointments, and captures CRM data without a single human agent on the line. The system runs 24/7 on ElevenLabs voice synthesis, Twilio telephony, and Make.com orchestration. This is not a demo - it is a live revenue system.

My Process

How I Build Voice Agents

Use Case Definition

Define the call flow: what questions does the agent ask, what happens at each answer, where does it transfer or escalate.

Voice and Persona Build

Select voice model on ElevenLabs. Build conversation script and knowledge base. Configure language and tone.

Integration and Testing

Connect Twilio for telephony. Build CRM webhook. Test with real calls. Tune for latency and accuracy.

Deploy and Monitor

Go live. Monitor call recordings. Improve responses based on real call data. Scale call capacity as needed.

Tools I Use

VapiElevenLabsTwilioMake.comRetell AIOpenAIClaude APICRM webhooks

Who This Is For

B2B companies handling 100+ inbound leads per month that need qualification

Sales teams wanting 24/7 outbound appointment setting without hiring agents

Businesses needing bilingual (English/Hindi/Arabic) customer support at scale

FAQ

Common Questions

What is a Vapi AI voice agent?

A Vapi AI voice agent is an autonomous AI phone system that can make and receive real phone calls, understand natural language, and take actions like booking appointments or qualifying leads - using Vapi's infrastructure with ElevenLabs for realistic voices.

Can Vapi voice agents speak Arabic or Hindi?

Yes - I build bilingual and multilingual voice agents. My deployed agents handle Hindi and English conversations. Arabic language support is available depending on the ElevenLabs voice model selected.

How many calls can an AI voice agent handle simultaneously?

Vapi-based voice agents can handle unlimited concurrent calls with no wait times. My deployed systems manage 1,000+ calls per day across inbound and outbound campaigns - impossible to scale with human agents.

What can an AI voice agent do for my Dubai business?

AI voice agents can qualify inbound leads, book appointments, answer FAQ calls, run outbound sales campaigns, collect customer feedback, send order updates, and handle customer service calls - 24/7 with no human involvement.

How long does it take to deploy a Vapi voice agent?

A basic Vapi voice agent with one use case takes 3–7 days. A fully tuned bilingual agent with CRM integration, appointment booking, and outbound campaign setup typically takes 3–4 weeks from scoping to go-live.

Want a Voice Agent That Handles 1,000+ Calls Per Day?

Book a free consultation. I will walk you through the exact architecture and what it would take to build yours.

Book a Free Consultation →

AI Voice Agents for Dubai Businesses

AI voice agents that handle inbound and outbound calls for Dubai businesses - without a human call centre. The system I built for PackTHC handles 1,000+ calls per day in Hindi and English using Vapi, ElevenLabs, and Twilio. For Dubai businesses where phone and WhatsApp remain the primary sales channels, an AI that answers every call within 2 seconds at any time of day is a genuine competitive advantage.

I design, build, and deploy production-ready voice agents - not demos. Every agent includes a custom knowledge base, objection handling scripts, CRM integration for lead capture, and escalation logic for complex queries. The difference between a production voice agent and a prototype is error handling, latency tuning, and the logic that determines what happens when the AI does not know the answer. I build all three.

Who This Is For

AI voice agents in Dubai are most impactful for businesses with high inbound call volume and repetitive enquiry patterns. If the same 10 questions account for 80% of your inbound calls, those calls can be fully automated. If your calls require complex judgment, relationship management, or sensitive negotiation, human agents are still the right answer for those specific interactions.

→Dubai businesses losing calls due to volume exceeding staff capacity, especially overnight and weekends
→Call centres paying 3–5 agents for repetitive enquiries that follow a predictable script
→Real estate agencies handling property enquiry calls that need qualification before connecting to agents
→Medical clinics managing appointment booking via phone without automated system
→B2B businesses needing to qualify inbound leads before consuming sales team time

Common Challenges I See

High Cost of Human Call Centre in UAE

A 5-agent call centre in Dubai costs AED 25,000–40,000/month in salaries alone, before rent, benefits, and management overhead. An AI voice agent handling the same inbound volume costs AED 2,000–5,000/month in operating costs at scale - with consistent performance and zero sick days.

Inconsistent Quality When Agents Have Bad Days

Human agents have variable performance - bad days, fatigue, high staff turnover. AI voice agents deliver consistent scripted quality at call number 1,000 exactly the same as call number 1. For brand-sensitive enquiries, consistency is a significant advantage.

Losing Calls Outside Business Hours

Dubai's multicultural customer base operates across multiple time zones. Calls arriving at 2am from a GCC market or 11pm from an Indian B2B buyer go unanswered until morning. An AI agent answers every call regardless of time - and logs qualified leads to CRM for follow-up.

No Automatic CRM Logging From Phone Conversations

Sales agents take notes inconsistently. Important information from phone calls - prospect details, product interest, objections - gets lost or recorded incorrectly. AI voice agents transcribe every call and push structured data to the CRM automatically, creating a complete contact record from the first interaction.

How I Work

Week 1 - Knowledge Base and Script Design

I document your call flows: what questions callers ask, what information the agent needs, how objections are handled, and when to escalate to a human. This becomes the agent knowledge base and conversation script. Good script design is what separates a useful agent from a frustrating one.

Week 2 - Vapi Build and ElevenLabs Voice Tuning

Build the agent in Vapi with your knowledge base and script. Select and tune the ElevenLabs voice model for natural pacing, appropriate accent, and correct pronunciation of brand and product names. Test with hundreds of simulated calls across common and edge case scenarios.

Week 3–4 - CRM Integration, Escalation Logic, and Go-Live

Connect the agent to your CRM via Make.com or n8n. Build escalation logic: what happens when the AI cannot answer, needs to transfer to a human, or needs to send a follow-up WhatsApp. Test with real calls in a controlled environment before full production deployment.

Tools and Stack

Every production voice agent I build uses a specific stack selected for reliability and quality at scale. Vapi for the voice agent infrastructure and call management. ElevenLabs for voice synthesis - the most natural-sounding AI voices available. Twilio for telephony and UAE phone number provisioning. Make.com or n8n for CRM integration and post-call automation.

Vapi.aiElevenLabsTwilioMake.comZoho CRMOpenAI APIWhatsApp Business APIGoogle Calendar APIDeepgram

Real Example

PackTHC AI Voice Agent - 1,000+ Calls Per Day

PackTHC needed to handle high-volume inbound product enquiries - pricing, MOQ, lead times, customization options - in both Hindi and English. A human call centre at this volume would have required 5–8 agents and significant management overhead. I built a bilingual Vapi voice agent with a complete product knowledge base, handling product enquiries, pricing questions, and lead qualification. Every conversation was transcribed and pushed to Zoho CRM automatically.

Result: 1,000+ calls per day handled with zero human agents for standard inbound volume. CRM auto-populated with every conversation - lead name, contact number, product interest, and qualification status. Complex queries escalated to WhatsApp for human follow-up. The system operates 24/7 with maintenance costs of approximately AED 2,000/month in API and telephony costs - replacing what would have been AED 25,000+/month in call centre staffing.

Investment

Voice agent build cost depends on the number of languages, knowledge base complexity, CRM integration requirements, and whether outbound calling is needed in addition to inbound. Ongoing costs include Vapi subscription, ElevenLabs usage, and Twilio telephony - typically AED 1,500–3,000/month at moderate call volumes.

→Basic voice agent (single language): AED 8,000–15,000
→Bilingual agent (Hindi+English or Arabic+English): AED 12,000–22,000
→Full CRM integration add-on: AED 3,000–6,000
→Monthly maintenance and monitoring: AED 1,500–3,000/month

Frequently Asked Questions

What is a Vapi voice agent?+

Vapi is a platform for building production-grade AI phone agents. It handles the telephony infrastructure, connects to AI language models for conversation logic, and integrates with ElevenLabs for voice synthesis. The result is an AI agent that can make and receive real phone calls, understand natural language, and take actions like logging to CRM or booking calendar appointments - with sub-2-second response latency.

How natural does the AI voice sound?+

ElevenLabs voice models in 2025–26 are indistinguishable from human voices to most callers in normal phone call audio quality. The voice can be tuned for pace, tone, and accent. I spend significant time tuning voice models during the build phase - including testing pronunciation of brand names, technical terms, and product names specific to your business.

Can it handle Arabic?+

Yes - Arabic voice support is available through ElevenLabs Arabic voice models and OpenAI's multilingual capabilities. Arabic voice agents require more tuning than English or Hindi agents because Arabic has significant dialect variation. I build Arabic agents that are calibrated for Gulf Arabic (the most relevant dialect for UAE callers) specifically.

What happens when the AI cannot answer a question?+

Every agent I build has explicit escalation logic. When the AI encounters a question outside its knowledge base or detects customer frustration, it either: transfers the call to a human agent (if available), takes a message and promises callback within a specified timeframe, or sends a WhatsApp follow-up to a human team member with the conversation context. No call ends without a resolution path.

Does it integrate with my CRM?+

Yes - CRM integration is standard for all production builds. I connect to Zoho CRM, HubSpot, Salesforce, and custom CRM APIs. After each call, the agent pushes structured data - caller name, phone number, enquiry type, qualification status, and full transcript - to the CRM automatically. If you do not have a CRM, I can recommend and set up a free-tier option.

Can it book appointments?+

Yes - appointment booking is one of the most common use cases. I integrate with Google Calendar, Calendly, and custom booking systems to allow the agent to check availability and confirm appointments in real time during the call. The caller receives a confirmation SMS or WhatsApp message immediately after booking.

How is it different from IVR?+

Traditional IVR (press 1 for sales, press 2 for support) forces callers into rigid menus and frustrates most modern callers. AI voice agents conduct natural conversations - callers speak normally, the agent understands context, handles interruptions, and responds intelligently. The experience is closer to talking to a knowledgeable human receptionist than navigating a phone tree.

What is the typical setup time?+

A basic inbound agent with one language and a simple knowledge base can be live in 5–7 days. A full bilingual agent with CRM integration, appointment booking, and outbound campaign capability typically takes 3–4 weeks from scoping call to production deployment.

Can I train it on my specific products?+

Yes - the knowledge base is the core of what makes each agent useful. I build product-specific knowledge bases from your catalogue data, FAQs, pricing sheets, and documentation. The agent is trained to answer your specific questions accurately - not generic AI responses that may be incorrect or inappropriate for your business context.

What are the per-call costs?+

Per-call costs depend on call duration and volume. Typical costs at moderate volume (500 calls/day): Vapi platform AED 0.05–0.15/minute, ElevenLabs TTS AED 0.02–0.05/minute, Twilio telephony AED 0.10–0.25/minute depending on international vs local numbers. At 1,000 calls/day averaging 3 minutes, monthly operating cost is approximately AED 1,500–3,500 - versus AED 25,000+ for equivalent human agent coverage.

AI Voice Agents for Dubai Businesses - What Vapi Builds

AI voice agents built on Vapi replace or supplement human call center staff for inbound queries, appointment booking, lead qualification, and customer support. For Dubai businesses, the biggest advantage is 24/7 availability across time zones - your AI agent handles calls from GCC clients in English and Arabic without adding headcount.

The build process takes 2-4 weeks: workflow design, Vapi configuration, voice selection, language tuning, and integration with your CRM or booking system. Each agent is trained on your specific product knowledge, FAQs, and objection handling scripts. Calls are logged, transcribed, and analyzed for continuous improvement.

Dubai SMEs in real estate, clinics, restaurants, and logistics are seeing 40-60% reduction in missed inquiry calls after deploying AI voice agents. The UAE market is particularly suited for voice AI because WhatsApp and phone remain primary business communication channels here, unlike Western markets where email dominates.

Vapi Voice Agent FAQ

What is a Vapi AI voice agent?

A Vapi AI voice agent is an autonomous AI phone system that makes and receives real phone calls, understands natural language, and takes actions like booking appointments or qualifying leads — using Vapi's infrastructure with ElevenLabs for realistic voices.

How much does an AI voice agent cost to build in Dubai?

Basic voice agents (single language): AED 8,000–15,000. Bilingual agents (Hindi+English or Arabic+English): AED 12,000–22,000. Full CRM integration add-on: AED 3,000–6,000. Monthly maintenance: AED 1,500–3,000/month.

Can the voice agent speak Arabic or Hindi?

Yes. I have built bilingual Hindi and English agents handling 1,000+ calls/day. Arabic is supported via ElevenLabs Arabic voice models calibrated for Gulf Arabic specifically. Multi-language routing (detect caller language and switch) is also possible.

How many calls can an AI voice agent handle simultaneously?

Vapi-based voice agents handle unlimited concurrent calls with zero wait times. My deployed systems manage 1,000+ calls per day across inbound and outbound — a volume impossible to scale with human agents at equivalent cost.

What happens when the AI cannot answer a question?

Every agent I build has explicit escalation logic: transfer to a human agent, take a message for callback within a set timeframe, or send a WhatsApp follow-up to a human team member with full conversation context. No call ends without a resolution path.

How long does it take to deploy a Vapi voice agent?

A basic inbound qualification agent with one use case can go live in 5–7 days. A fully tuned bilingual agent with CRM integration, appointment booking, and outbound campaign setup typically takes 3–4 weeks from scoping to production deployment.

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