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Agentic AI · Voice Automation

Voice operations that sound human, scale linearly, and never go on lunch

The economics of human voice operations break above a certain volume — and the experience breaks below a certain quality. AI Voice Agent solves both. Sub-five-hundred-millisecond response latency that crosses the threshold of conversational quality, voice cloning that matches your brand without sounding robotic, agentic reasoning that handles objections and adapts tone, and integration depth that lets the bot actually book, update, retrieve, and resolve. We run this across collections, customer care, appointment booking, and outbound campaigns at scale.

<500ms
End-to-end response latency
40+
Languages including dialects
62%
Avg cost reduction vs human agent
24/7
Always-on availability
New · Production-ready
The product

AI Voice Agent — in the browser

voice.mindmap.local · AI Voice Agent⌘K
LIVE CALL · outbound collections● 01:24
Vx
+971 5• ••• 4821
● connected · agent speaking
EN · AR · SW
LIVE TRANSCRIPT
AGENTHello, this is a courtesy call regarding your account balance…
CUSTYes, I'd like to set up a payment plan.
AGENTI can arrange that now. Would three monthly instalments work?
CUSTThat works, thank you.
<500ms
Response latency
42%
Contactability
$0.18
Cost per successful contact
81%
Containment rate
Capabilities

What AI Voice Agent does

Human-quality voice synthesis

ElevenLabs and Cartesia TTS for premium voice quality, with custom voice cloning that lets the bot speak with your brand voice — same warmth, same accent, same energy across every interaction. Quality is high enough that internal testing on uninstructed listeners typically does not flag the call as AI.

Real-time speech recognition

Whisper-based STT with custom vocabulary, domain fine-tuning, and code-switching support — essential for markets where customers slip between languages mid-sentence. Streaming recognition feeds the LLM as the customer speaks, not after the customer stops, which is half of the latency advantage.

Agentic reasoning layer

GPT-4o or a sovereign LLM as the reasoning engine. Understands context across the conversation, handles objections and digressions, adapts tone to the customer's mood, and chooses when to escalate, when to push, and when to summarise and end. Not a finite-state machine pretending to be agentic — actually agentic.

CRM and system actions

Books appointments in your calendar system, updates the CRM with structured outcome data, retrieves account information mid-conversation to handle questions, raises tickets in your service-management platform, sends SMS or email follow-ups. The bot does the work — not just the talking.

Forty-plus languages

English in regional accents, Arabic across Gulf and Levantine dialects, Hindi, Tamil, Bengali, Marathi, Swahili, Hausa, Yoruba, French, Spanish, Portuguese, German, and the major European, Latin American, and Asian languages. Voice quality and intent accuracy in non-English are MindMap's specific advantage over US-centric vendors.

40+ languages in production

Compliant recording and redaction

PCI-DSS scope minimisation through real-time redaction of card numbers as the customer speaks them. Consent capture and management per jurisdiction. Full call recording with searchable transcription. Per-call audit log captures the AI's reasoning trace, which is what auditors actually want to see.

How It Works

From start to value in 4 steps

01

Define the campaign or use case

Configure call objective, voice persona, script knowledge base, success criteria, and the actions the agent is authorised to take. Calibration of tone and pace against your brand standards. Typically a one-week sprint to a tested configuration.

02

Connect telephony and systems

Integrate with Twilio Programmable Voice, AWS Connect, Genesys Cloud, or your existing SIP infrastructure. Wire up CRM, calendar, ticketing, and SMS via pre-built connectors. Authentication via your IDP.

03

Test and tune in shadow mode

Run test calls against a test telephony number, listen to recordings, review the AI's reasoning trace, tune voice characteristics, handling logic, and edge-case escalation. Quality bar set before any real customer answers the phone.

04

Launch and scale

Outbound campaigns initiate on the schedule you configure. Inbound calls route through the AI agent with fallback to human queues per policy. Real-time dashboard tracks contact rate, conversion, conversation quality, and operational metrics.

Technology

Built on proven enterprise tech

Voice AI
ElevenLabs TTS
Cartesia TTS
Whisper STT
GPT-4o reasoning
Sovereign Llama / Mistral
Custom voice cloning
Telephony
Twilio Programmable Voice
AWS Connect
Genesys Cloud
SIP trunk integration
Asterisk for sovereign
Media streaming via WebRTC
Actions and integrations
Salesforce CRM
Core banking APIs
Calendar and booking
SMS and email follow-up
Service-management ticketing
Custom REST endpoints
Compliance and operations
PCI-DSS real-time redaction
TRAI / Ofcom / TCPA rules
Consent management
Call recording and transcription
Reasoning trace logging
Per-region data residency
"The AI Voice Agent now handles our entire outbound collections programme — five hundred thousand calls a month across three languages. Contactability went up because we can call at the times customers actually answer; cost per contact is down fifty-eight percent; and our regulator was satisfied with the call recordings and consent framework on first review."
Head of Collections, Listed Consumer Finance Company
Deployment

Deploy how you need it

Managed SaaS

Hosted by MindMap on SOC 2 Type II infrastructure. Bring your own telephony provider or use ours. Up and running in forty-eight hours for a standard campaign configuration. Includes operations, monitoring, and quarterly tuning. Best for rapid time-to-value.

Hybrid

Telephony stays on-premise or in your cloud for regulatory or carrier reasons; MindMap operates the AI layer (TTS, STT, LLM) under SLA. Bridge via SIP or media-streaming protocol. Common pattern for telcos and large enterprises with existing contact-centre investment.

Fully on-prem and sovereign

TTS, STT, and LLM all running inside your data centre on your hardware. Required where regulators preclude any external AI inference and where call content cannot leave national borders. Includes sovereign LLM deployment alongside voice-specific components.

AI Voice Agent — Ready to Deploy

Get a demo and see how it fits your stack.

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