Always-on — never off shift
Zevantra Labs · AI Workforce Platform
An AI workforce that answers calls, books appointments, and follows up — so your team doesn't have to.
Zevantra Labs deploys an always-on Round-the-Clock Front Desk AI Assistant for your business — fluent in Hindi, English and Hinglish — that answers every call, recovers missed calls, books appointments, and keeps your CRM up to date automatically.
Currently piloting with clinics.
What changes on day one
After hours: no answer
24/7: every call answered
A missed call still gets a WhatsApp follow-up, automatically.
Booking means back-and-forth calls
Booked in one call, confirmed on WhatsApp
No one checks a calendar by hand.
Reminders depend on someone remembering
Reminders and no-show follow-ups, every time
The same logic runs for every single booking.
Solutions
The round-the-clock front desk AI assistant your clinic never has to schedule a shift for.
Built for independent clinics, diagnostic centres and small hospitals that lose bookings to missed calls and an overloaded front desk.
How a call unfolds, start to finish
- 1
Call comes in
“Doctor ko kal shaam ka appointment chahiye?”
- 2
Zevantra Labs Round-the-Clock Front Desk AI Assistant answers
Understands Hindi, English and Hinglish, including code-switching mid-sentence.
- 3
Checks doctor availability
Looks up the schedule in real time.
- 4
Books the appointment
Confirms date and time with the caller.
- 5
Updates your CRM
Patient record and appointment are logged automatically.
- 6
Sends WhatsApp confirmation
Caller gets a written confirmation immediately.
- 7
Sends a reminder
Before the appointment, to reduce no-shows.
- 8
Follows up if they don't show
Sends a WhatsApp message offering to reschedule.
Built for real clinic economics
Missed-call recovery
If 10 of your clinic's 100 daily calls go unanswered, Zevantra Labs automatically sends each one a WhatsApp message: “Namaste, you tried calling Dr. Sharma's clinic. How may I help you?” — turning lost calls into booked appointments.
Fluent Hindi, English & Hinglish
Callers don't need to speak textbook English. Zevantra Labs is tuned for real Indian phone conversations, including regional accents and mixed-language sentences.
Built to route around failure
Zevantra Labs' ChannelOS layer retries a failed call on an alternate engine before it reaches your patient, and isn't tied to any single vendor's availability — resilience designed into the architecture rather than promised in a contract.
Call or chat — the patient's choice
Some patients would rather call, others would rather message. Zevantra Labs runs the same booking, confirmation and reminder logic across voice and chat, so switching channels never means starting over.
What would this be worth for you?
Type in your own numbers — every figure below starts as a round placeholder you can change, not a claim about what another clinic has seen.
Estimated monthly value, from your own numbers
₹87,000
Staffing cost avoided
₹3,000
20.0 hrs of calls handled
Revenue from bookings
₹84,000
120 appointments/month
What you'd pay Zevantra
—
We quote this after an intake call
Your numbers
Every figure below is a starting placeholder — change it to roughly match your own clinic and the estimate above updates instantly. We don't publish fixed pricing, so leave the last field blank if you'd rather just see the value side.
An estimate built entirely from the numbers you enter above — not a guarantee or a figure from another clinic. Every deployment is priced and tuned individually once we understand your actual call volume.
Get a tailored quote for your clinic →Channels
Voice, chat, or both — the customer's choice, not ours.
Most round-the-clock front desk AI assistants pick one channel and make your customers adapt to it. Zevantra Labs runs the same booking, confirmation and follow-up logic across voice and chat, so it doesn't matter which one someone reaches for — or if they use both.
Phone call
A patient calls, your Round-the-Clock Front Desk AI Assistant answers in Hindi, English or Hinglish, checks availability, books the slot and confirms the details out loud.
The same patient could just as easily message on WhatsApp instead — same availability check, same booking, same confirmation, just typed instead of spoken.
See it in action
Illustrative examples
How a call becomes a WhatsApp message
Call comes in
Round-the-Clock Front Desk AI Assistant answers
Hindi, English or Hinglish
Books an appointment, or asks a question
Same agent handles both
Confirms — or offers the answer on WhatsApp
FAQs only go out if the caller agrees
WhatsApp message sent
Confirmation, reminder, or the FAQ answer in writing
Demo
Hear it answer a real call
This is a genuine test call placed to a live Zevantra Labs AI Receptionist agent — cleaned up for clarity, but nothing about the conversation itself was scripted.
Real, unscripted test call · recorded October 2026
Trust
Every competitor sells you a single channel. We sell you an outcome — voice, WhatsApp, or both — powered by whichever engine is best for the job.
Not locked to one voice or WhatsApp vendor
If our engine has a problem, we move your traffic same-day — your service doesn't notice.
Most "AI voice agent" or "WhatsApp bot" companies resell a single platform. If that platform raises prices, degrades, or goes down, so does your service. Zevantra Labs runs on ChannelOS — our own orchestration layer — so the engine carrying your calls and WhatsApp messages is something we choose and can change, without your agent, your data or your integrations changing at all.
Built to route around failure
A failed call retries on another engine automatically, before it ever reaches your patient.
ChannelOS retries a failed call on an alternate engine before it reaches your customer, and picks the engine per call rather than per contract. It's an architecture built for resilience from day one, not a vendor relationship you'd have to renegotiate.
You own the workflow, not just a chatbot
The engine underneath is replaceable. The workflow we build for you is what keeps working for years.
The voice model and the WhatsApp templates are both replaceable infrastructure. What we build for you — the appointment logic, the CRM sync, the follow-up sequence — is what actually keeps you as a customer for years, not which engine happens to be running underneath today.
Every agent is tuned by our team before it goes live
Your agent is built and test-called on your own hours, staff and FAQs — never a generic template.
We onboard a small number of businesses at a time on purpose. Your agent is built and test-called using your own business's hours, staff and FAQs before a single real customer reaches it — not deployed from a generic template.
Your data stays yours
Handled with India's DPDP Act in mind, and never sold or shared.
Call recordings and patient information are handled with India's Digital Personal Data Protection Act in mind, and are never sold or shared. Ask us for a walkthrough of exactly how data is stored and who can access it — before you sign anything.
The architecture behind Zevantra Labs
Zevantra ChannelOS: an orchestration layer between your business and the voice, chat and messaging engines underneath it.
Most companies in this category are a thin wrapper over one platform. We're built the other way round — your agent, data and integrations live in our layer, not in whichever engine happens to be running underneath.
The engines that carry the conversation — on either channel — sit behind an adapter we can swap, combine or replace without anything on your side changing. If one engine has an outage or a price hike, we move your traffic to another the same day — your workflows never notice.
What's built today, and what isn't
The orchestration layer above is fully live in production today. The one thing not yet built: switching a live call between voice engines mid-conversation — separate from handover to your own staff, which already works today.
Zevantra Labs currently operates on a primary voice engine, with additional engines integrated and ready to enable — automatic switching between them becomes active as we bring each one online, and it's the reason the architecture was built this way from day one rather than retrofitted later. We also don't build our own speech recognition, speech synthesis or telephone network, and we don't plan to — those are commodities, and pretending otherwise would slow down the part that actually matters to you.
Built vertical-first
We start with one AI workforce, done extremely well, for one industry — then expand. Healthcare is our first vertical.
Frequently asked questions
Is this something we set up ourselves, or do you build it for us?
Done-for-you. You fill in one intake form about your business — hours, services, staff, common questions — and our team builds, tests and tunes the actual agent before it ever answers a real customer. You never touch agent configuration.
What languages does it actually handle?
Hindi, English and Hinglish, including callers who switch between them mid-sentence — which is how most real Indian phone conversations actually happen.
What happens if a patient calls with a real emergency?
The agent is trained to recognise emergency language and immediately tells the caller to hang up and dial 108, India's emergency ambulance number, rather than continuing the booking conversation. It never attempts to diagnose or advise on a medical emergency itself.
What happens to our call recordings and customer data?
It's handled with India's Digital Personal Data Protection Act in mind, stays associated with your business only, and is never sold or shared with third parties. We're happy to walk you through exactly how it's stored before you commit to anything.
Are we locked into whichever voice or WhatsApp engine you use underneath?
No — that's the point of ChannelOS, our orchestration layer. The engine carrying your calls or WhatsApp messages is an implementation detail we manage and can change; your agent, your data and your integrations don't move when it does. See how it works for the full architecture.
How long does it take to go live?
There's no generic install wizard or fixed countdown — we build and test your agent using your business's real details, so timing depends mostly on how quickly we get what we need from you rather than on us.
Get a Round-the-Clock Front Desk AI Assistant for your business
We onboard a small number of businesses at a time so every deployment gets a properly tuned agent — not a generic bot. Tell us about your business and we'll reach out to set up a live demo call.