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AI Voice Agents

Real-time AI voice agents for UAE and GCC sales and support teams — Arabic, English, Russian and Hindi by default, regional telephony integrated, full transcript and CRM hand-off on every call.
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Every inbound lead called within minutes, in their own language

Inbound real-estate, automotive and retail leads in the UAE go cold inside the first hour. The first vendor to call a fresh prospect wins the deal in most categories — and no human team can man the phones at 2 a.m. on Eid or during Friday prayers. An AI voice agent does.

A Big Lab voice agent picks up an inbound inquiry within minutes of the form submission, opens the conversation in the prospect’s language, asks the qualification questions your top performers would ask, handles the obvious objections, books the next step in the calendar, and routes the warm lead to a human with the full transcript and a recommended action. The reference deployment in production is the Mira Developments AI voice agent — inbound leads from across the developer’s project portfolio are contacted, qualified and routed without manual screening, around the clock, in Arabic, English, Russian and Hindi.

This page covers voice agent development as a deliverable. For the broader autonomous-agent context see AI Agents; for coordinated systems that combine voice with messaging and CRM see Multi-Agent Systems.

What an AI voice agent handles in production

Outbound qualification calls

Fresh inbound leads from forms, ads and chat are called within minutes. The agent confirms intent, budget, timing and any custom qualification rule — then routes the right ones to your sales team.

Inbound reception and routing

Calls into your business hotline are answered instantly, classified by purpose, and either resolved in the conversation or routed to the right team with full context on the screen by the time the human picks up.

Appointment booking and reminders

The agent reads your live calendar, proposes slots that work, confirms inside the conversation, and follows up with reminders by SMS or WhatsApp in the right language.

Multilingual conversation

Arabic in both Khaleeji and Modern Standard, English, Russian, Hindi and French. The agent switches mid-call when the customer does, with regional voice talent on both sides.

After-hours and overflow coverage

Nights, weekends, Eid holidays and the peak moments when every human is on a call — the voice agent picks up so the lead never hits voicemail.

Transcript, summary and CRM update

Every call is transcribed, summarised, scored, and pushed into your CRM with the next-action recommendation. Your sales team sees the conversation, not just a missed-call line in a log.

Voice agents in production today

Since 2022
Direct presence in Dubai and the UAE market with a focus on local and international growth.
100+ projects
Across SEO, web development, AI solutions, design, content, and market research.
12+ countries
Project experience across the GCC, Europe, Central Asia, and North America.
10+ industries
Real estate, retail, e-commerce, government, FMCG, beauty, hospitality, and more.

Mira Developments — AI Voice Agent

Inbound leads from Mira's developer websites are contacted within minutes, qualified in the prospect's language across the Mira project portfolio, and routed to the right sales team — without manual screening.
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Mira — voice + property matching

The voice agent qualifies the buyer, hands the brief to the property matching swarm, and confirms the shortlist on the same call. One conversation, one outcome.
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Mira — voice and WhatsApp continuity

The voice agent and the WhatsApp agent share context. The call confirms intent, WhatsApp delivers the brochure, the deal stage updates in the CRM — one customer, one record.
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LETOILE — voice across customer flows

Customer-facing voice flows for a large-scale beauty e-commerce operation — order issues, delivery questions, loyalty enrolment — handled instantly, escalated where needed.
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Mira Developments
Mira Developments
Mira Developments
LETOILE

How Big Lab ships a voice agent for UAE and GCC operations

1

Script around the real conversation

We start from the call your best agent would actually make — opening, qualification questions, common objections, hand-off criteria. The voice agent’s behaviour is grounded in your existing sales playbook rather than invented from scratch.
2

Choose voice, language and ASR stack

We benchmark text-to-speech, speech-to-text and frontier LLMs against your real call conditions — noisy lines, regional accents, code-switching between Arabic and English. The right combination is chosen per market and per agent role.
3

Integrate telephony and CRM

We connect the agent to Etisalat, du, Twilio, Vonage or your existing PBX, and wire it to your CRM, calendar, WhatsApp and any other system the conversation needs to touch. Calls come from your number, in your brand voice.
4

Tune latency for natural turn-taking

Interruption handling, back-channels, listening pauses, semantic end-pointing — the agent must sound like a person who is actually listening. The standard target is around 200 milliseconds of turn-taking latency.
5

Adversarial testing before any real customer

Before the agent talks to a real prospect, hundreds of synthetic conversations and a controlled pilot are run. Edge cases — angry callers, complex requests, compliance triggers, accents under stress — are tested before launch, not after.
6

Launch, sample-review every call, improve weekly

Every call in the first weeks is reviewed at the sample level. The agent gets sharper week by week — better on the local accent, smarter on the new product line, faster on the recurring objection. Quality is a trend you can see in a dashboard.

AI voice agents and Arabic: what production-grade fluency requires

Most off-the-shelf voice AI demos are tuned to North American English. For the UAE and the GCC the relevant benchmarks are different — Khaleeji Arabic with Saudi, Emirati and Levantine variation, Modern Standard Arabic for formal contexts, English-Arabic code-switching mid-sentence, and Indian-English on a meaningful share of inbound calls. A voice agent that scores well on US benchmarks routinely collapses on these.

Big Lab benchmarks each component of the voice stack — automatic speech recognition, text-to-speech, the LLM that runs the conversation — against the real call traffic of the region. The chosen combination differs by language: ElevenLabs and Cartesia for some, Google Chirp and Studio voices for others, with the conversation logic running on Gemini, Claude or GPT depending on latency and language quality on a per-language basis. The benchmark is not a vendor demo; it is the recordings of your existing calls.

Why choose Big Lab for AI voice agent development

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A live production deployment to point to
The Mira Developments AI Voice Agent is live, handling real inbound leads across the developer’s portfolio in four languages. We are not pitching theory — we are scaling a system we already operate.
Native fluency in the languages this region speaks
Khaleeji and Modern Standard Arabic, English (including Indian English), Russian, Hindi, French — benchmarked on regional accents and code-switching. We do not assume your callers sound like a US podcast host.
Telephony depth across UAE and GCC
Etisalat, du, Twilio and Vonage integrations, local number provisioning, do-not-call list compliance and TDRA-aware routing. The design accounts for the realities of GCC mobile networks rather than discovering them on launch day.
Hand-off design sales teams actually use
The warm-transfer flow, the CRM payload and the human-facing summary are co-designed with your sales operations. The hand-off is the moment the voice agent earns its keep — we treat it as core product, not afterthought.
Safety and compliance built into the call
Recording disclosure, consent capture, do-not-call enforcement, escalation on regulated topics, voice-cloning safeguards — engineered into the deployment, not added retroactively under regulator pressure.
The same team operates the agent after launch
Weekly review of calls, accent and product-line tuning, new-script onboarding, model upgrades, incident response. Quality improves over time and Big Lab is accountable for the trend, not just the launch.

AI voice agents — questions Big Lab clients ask

Will the caller realise they are talking to an AI voice agent?
The voice is conversational and natural — most callers stay in the flow without noticing. We always disclose that the call is AI-driven when the caller asks or when regulation requires it. The objective is a useful, respectful conversation, not deception.
Which languages and accents does the voice agent support?
Arabic (Khaleeji and Modern Standard), English (including Indian English), Russian, Hindi and French are production-ready. Other languages are added per project. We choose the voice and ASR models per language based on real conversational quality, not vendor defaults — and we benchmark against your existing call recordings.
Can the voice agent handle outbound calling from our existing phone number?
Yes. We integrate with regional and global carriers — Etisalat, du, Twilio, Vonage and your existing PBX — and calls come from your number in your brand voice. Compliance with local telecom rules including TDRA and equivalent GCC regulators is part of the deployment scope.
How does the voice agent handle complex requests it cannot resolve?
It escalates by design. The agent has explicit hand-off criteria — case complexity, caller-requested human, regulated topic, compliance trigger. The transfer is warm: the receiving human gets a one-line summary and the full transcript before they pick up, so the conversation continues rather than restarting.
What about angry callers, accents under stress, and edge cases?
Tone detection is part of the agent’s reasoning loop. Escalating frustration triggers immediate human transfer. We pre-test the agent against dozens of difficult scenarios — irate callers, heavy regional accents, complex objections, compliance triggers — before it takes a real call.
How long does it take to ship a voice agent to production?
A focused outbound qualification agent goes live in four to six weeks. A multi-language, multi-flow deployment with deep CRM and calendar integration runs eight to twelve weeks. We start with one flow, prove the impact, and expand only against measured results.
What does an AI voice agent cost?
Pricing is scoped per project against your call volume, the number of languages and flows, and the depth of CRM and telephony integration. A single-flow pilot is meaningfully less than a multi-language deployment with inbound, outbound, regional carriers and several integrations. We quote fixed scope and fixed price after a one-hour conversation about your actual call volume.
Is the voice agent compatible with our existing IVR or call centre platform?
Yes. The voice agent can sit in front of an existing IVR, behind it, or replace it entirely. We integrate with Genesys, Avaya, Cisco, Twilio Flex, AWS Connect and Asterisk-based PBX systems. The integration model is chosen during scoping based on your existing infrastructure and the migration risk profile.

How many inbound leads went uncalled last week?

A one-week scoping engagement maps your inbound funnel to a voice agent — flows, languages, telephony, CRM hand-off and a fixed price. Whether or not we continue, you keep the map.
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