Nivākya — the AI voice agent for lead qualification and 24/7 customer support
Nivākya answers, qualifies and routes your business calls around the clock — in natural speech, in English, Arabic and Hindi, with every conversation logged to your CRM and instant warm transfer to a human when it matters.
An AI voice agent that works your phone lines, not just your chat box
Nivākya is an AI voice agent platform built and operated by XRDigitech — the same stack we deploy for enterprise clients, running in production on our own lines. It conducts real-time spoken conversations: it understands the caller, reasons over your knowledge and systems, asks your qualifying questions, books or routes the outcome, and writes the whole call back to your CRM.
The business case is simple arithmetic. The average B2B lead waits 42–47 hours for a first response, and leads contacted within five minutes close at roughly 32% versus about 12% for later contact. A voice agent answers on the first ring, at any hour, in the caller's language — and never has a bad day.
Never miss a call
Inbound answering 24/7 — including nights, weekends and public holidays — with local numbers in the UAE, UK, USA, India and Saudi Arabia.
Qualify before you spend time
Nivākya asks your qualification questions, scores the caller and passes only genuine opportunities to your team.
Route with full context
Intent-aware transfer to the right person, with caller details, transcript and summary attached. No repetition, no "please listen carefully".
What it does on every call
Inbound answering
FAQs, hours, order and account status, pricing basics and service coverage — resolved in seconds, without a queue.
Lead qualification
Budget, timeline, authority and need — captured in natural conversation and scored against your criteria.
Appointment booking
Checks availability and books directly into your calendar, then confirms by SMS or email.
Outbound follow-ups
Reminders, renewals, reactivation campaigns and post-service check-ins — consistent, polite and fully logged.
Multilingual handling
English, Gulf Arabic, Hindi, Urdu and more, with code-switching handled the way real callers speak.
CRM write-back
Transcript, summary, sentiment, outcome and next step written to HubSpot, Salesforce, Zoho or Dynamics 365 automatically.
Human handoff
Confidence thresholds and sentiment triggers transfer to a live agent with full context — or schedule a callback when nobody is free.
Compliance controls
Recording consent flows, PII redaction, retention rules and audit logs aligned with ISO 27001 practices, UAE IA and Saudi NCA ECC.
Analytics
Call volumes, containment and transfer rates, qualification quality and cost-per-qualified-lead in one dashboard.
From ring to resolution in under a second
1. Telephony
Your number rings into Nivākya via SIP/VoIP. Local caller ID per market; concurrent calls scale automatically.
2. Speech understanding
Low-latency recognition tuned for accents, background noise and interruptions — the agent lets callers talk over it and recovers.
3. Reasoning
Your knowledge base, pricing rules and system data ground every answer. No source, no answer — the agent escalates instead of guessing.
4. Natural speech
Neural voice output with pace and confirmation style tuned to your brand. Callers hear a person, not a menu.
5. Action
Qualify, book, route, refund-request, log — actions are permissioned and audited, with human approval for sensitive steps.
6. Learning loop
Weekly review of transcripts and off-script moments; evaluation sets are re-scored after every tuning change.
AI voice agent vs call centre vs chatbot
For regulated or high-value calls, the realistic model is hybrid: the agent handles tier-1 and qualification, humans keep complex and sensitive conversations.
Industries and use cases
Real estate
Answer every listing enquiry, qualify budget and timeline, book viewings — including after hours when most enquiries arrive.
Healthcare
Appointment booking, reminder calls, triage routing and multilingual patient handling with strict PII controls.
Retail & e-commerce
Order status, returns policy, delivery updates and outbound reactivation campaigns at peak volume.
Financial services
Lead qualification, KYC intake routing and service-line triage with audit-ready conversation logs.
Logistics
Shipment status at scale, delivery window negotiation and exception handling without a call-centre queue.
Manufacturing & distribution
Spares enquiries, order status, technical first-line support and distributor qualification.
Start for $49, scale for $349 — and only when the calls pay for it
Pilot / testing — $49
Get live on your own number and test with real callers: call quality, qualification logic, routing and CRM logging. The fastest way to validate voice AI without a project budget.
Growth — $349/month
Full production use: multi-language (English, Arabic, Hindi), inbound and outbound calling, calendar booking, CRM sync and the analytics dashboard — including a monthly call allowance.
White-label & enterprise — custom
Resell Nivākya under your own brand (BPOs, contact centres, integrators), or deploy for high-volume regulated environments with your choice of data residency.
Start with the $49 pilot on your own number, then move to Growth at $349/month once the numbers work. Plans run month-to-month — no lock-in, no seat licences. Usage beyond the included monthly call allowance is billed per minute, so you pay for conversations rather than headcount.
The economics are hard to argue with: at $349/month, one extra qualified lead a day covers the platform many times over — and it costs a fraction of a single additional call-centre seat. Start with the free ROI assessment: we model your call volumes and show the payback before you commit anything. Book the assessment. If you need custom voice-agent development rather than the platform, see the AI agent cost guide.
Hear it handle a real call
Book a 20-minute demo: we'll run Nivākya against one of your real call scenarios and show you the qualification and CRM logging live.
Book a Live DemoFrequently Asked Questions
What is Nivākya?
Nivākya is an AI voice agent platform built and operated by XRDigitech. It answers inbound calls, qualifies callers, routes or books them, makes outbound follow-up calls, and logs every conversation to your CRM — in natural speech, 24/7.
How much does an AI voice agent cost?
Nivākya starts with a $49 pilot on your own number, then runs from $349/month for full production use — multi-language (English, Arabic, Hindi), inbound and outbound calling, calendar booking and CRM sync — including a monthly call allowance with per-minute usage beyond it. Plans are month-to-month with no lock-in, and there are no seat licences. Custom voice-agent development (rather than the platform) is quoted per project.
Which languages does the AI voice agent support?
English, Arabic (including Gulf dialects), Hindi, Urdu and other major languages are supported. Accent handling and code-switching are tuned during onboarding using your real call recordings.
Will callers know they are talking to an AI?
The voice is natural and handles interruptions, but we recommend transparent disclosure as best practice. Most callers judge the experience on speed and accuracy of resolution rather than whether a human answered.
What happens when the AI agent cannot handle a call?
Confidence thresholds and sentiment triggers transfer the call to a human with full context — caller details, intent and a conversation summary — so the customer never has to repeat themselves. A live warm transfer or a scheduled callback both work.
Which CRMs and telephony systems does Nivākya integrate with?
HubSpot, Salesforce, Zoho, Dynamics 365 and custom systems via API, plus SIP/VoIP telephony providers including local numbers in the UAE, UK, USA, India and Saudi Arabia. Every call is transcribed, summarised and written back as an activity record.
How long does deployment take?
A focused voice agent pilot typically reaches production in three to six months, including telephony integration, knowledge grounding, accent and latency tuning, and compliance setup. Simpler single-language use cases move faster.
Where is call data stored?
Data residency is configurable: cloud hosting in the region of your choice, or on-premise deployment for regulated environments. Call recording consent flows, PII redaction and audit logging are aligned with ISO 27001 practices, UAE IA and Saudi NCA ECC requirements.
Can we white-label the AI voice agent for our own clients?
Yes. Nivākya is available as a white-label platform for BPOs, contact-centre operators and systems integrators who want to resell voice AI under their own brand, with your own telephony and CRM stack.
How is an AI voice agent different from a chatbot?
A chatbot answers typed messages. A voice agent conducts a real-time spoken conversation: it handles interruptions, asks qualifying questions, negotiates scheduling, and either resolves the call or transfers to a human with context. For sales and support lines, voice converts because it is frictionless for the caller.
Explore related capabilities: AI voice agent development · AI agents for customer support · RAG knowledge assistants · AI agent services · all XRDigitech products