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Managed voice agents for phone operations

AI agents that answer every call.

Every call has a job to do. Tell Vaani what should happen next, and the agent runs the workflow.

Start a pilotHear voice agentsSee how we operate

3

agent motions configured

87 sec

average FMCG order call

0

system pushes without approval

4

native voice previews live

How it works

Describe the motion.
Vaani runs it.

A caller should not need a portal, app, or new habit. Your team describes the operating motion in plain English. Vaani OS turns it into a phone agent with approval built in.

Step 01

01

Describe the call motion.

Tell Vaani OS what the caller says, what must be captured, when to escalate, and which fields your team approves.

Listening

Step 02

02

Vaani builds the agent.

The workflow becomes prompts, language rules, SKU or intake matching, confirmation loops, and a visible approval queue.

Understanding intent

Step 03

03

Ops reviews the output.

Every order, booking, lead, or support request is queued with transcript context before ERP, CRM, or EHR update.

Resolved

Type the motion

“When distributors call, capture products and quantities, read the order back, then wait for sales ops approval before ERP push.”

Ready to compileBuild workflow

Workflow out

ActionOutput
WatchInbound calls on existing number
ListenHindi, Gujarati, Tamil, Punjabi
CaptureSKU, booking, lead, support reason
RouteApproval queue or human handoff

Approval queue

CallerCapture
A G Enterprises2 SKUs · pending
Riverside DentalAppointment · staff review
Ahmedabad borrowerLoan lead · human callback
Refund VA2049Support case · exception

Two real products first

Start with the calls
we can handle today.

Vaani OS is strongest when the site leads with concrete workflows: FMCG distributor order capture and healthcare reception. Other verticals are available as managed pilot workflows.

FMCG warehouse operations with cartons and distribution inventory

Live solution

87 sec avg distributor call

Live solution

87 sec avg distributor call

Priya for FMCG order capture

Priya answers distributor calls, resolves spoken product names to SKUs, reads back the order, and queues it for ops approval before ERP push.

SKU-matched order capture
Distributor route context
Human approval queue
See workflow →
Healthcare reception area for patient appointment calls

Pilot ready

0 calls pushed without review

Pilot ready

0 calls pushed without review

Aria for healthcare reception

Aria handles appointment requests, captures patient context, flags urgent calls, and alerts staff so the front desk stays focused on people in the clinic.

Appointment intake
Emergency escalation
Clinic-ready workflow
See workflow →

Redacted proof pack

Proof should look like operations, not logo theatre.

Enterprise buyers do not need invented customer logos. They need to inspect the workflow: the call, the captured fields, the human approval, and the downstream system event.

Public references only

Comparable operators are shown, not customer claims

NDA-ready

Raw proof can be reviewed privately

Country-specific

India, US, UAE, UK workflows

India · FMCG distributor ordering

Active workflow pattern

Peak-hour distributor orders for a national snacks route.

Distributors call the same sales number, speak naturally in Hindi or regional languages, confirm the order aloud, and the capture enters a human approval queue before ERP action.

Comparable operator shape

Haldiram logo
Haldiram
Britannia logo
Britannia
Parle logo
Parle

87 sec

confirmed order call

2-6

SKUs per call

100%

first-pilot human approval

EvidenceExample
Caller phraseBiggies 5 pack, Cball 60, orange wafer carton
Captured fieldsDistributor, route, SKU, pack size, quantity, confirmation
HandoffSales ops review queue, then ERP webhook or Tally export
Reads back every SKU and quantity before marking the call captured.
Flags low-confidence SKU matches for human correction.
Blocks downstream push until an operator approves the order.
ExotelTwilioTallyZohoWhatsApp
View vertical workflow
United States · CPG replenishment desk

Representative US workflow

Convenience-store replenishment calls without a manual queue.

A field buyer or store manager calls to reorder known products. The agent confirms account context, captures quantities, checks delivery preference, and prepares a CRM or spreadsheet handoff.

Comparable operator shape

7-Eleven logo
7-Eleven
Circle K logo
Circle K
Regional CPG distributors

3.1 min

target intake window

UPC/SKU

catalog match fields

0

auto-updates without review

EvidenceExample
Caller phraseTwo cases of Classic Cola, four oat bars, delivery Friday
Captured fieldsAccount, location, SKU, quantity, delivery date, exceptions
HandoffApproval queue, CRM note, Google Sheets export, email summary
Account and location are confirmed before the order is accepted.
Ambiguous product names are queued with transcript context.
Managers can compare call volume by region and reorder window.
TwilioSalesforceGoogle SheetsEmail
View vertical workflow
UAE · Clinic appointment overflow

Pilot-ready workflow

After-hours appointment intake for multi-clinic operators.

Patients call outside front-desk capacity. The agent captures appointment intent, preferred location, symptoms, and urgency, then hands the booking request to staff with the full transcript.

Comparable operator shape

Aster logo
Aster
Bupa logo
Bupa Dental Care
Regional clinic groups

<4 min

call to staff handoff

24/7

appointment intake

urgent

symptom routing

EvidenceExample
Caller phraseI need a cleaning next week, but I have swelling today
Captured fieldsPatient status, location, service, time window, urgency cue
HandoffStaff email/SMS, EHR note draft, emergency transfer when configured
The agent does not diagnose; it captures and routes.
Urgent keywords trigger configured escalation paths.
Staff can approve, edit, or call back before confirming the appointment.
TwilioSendGridDentrixOpenDental
View vertical workflow
United Kingdom · Retail and D2C support

Roadmap pilot design

Post-purchase call triage for returns, refunds, and delivery issues.

Customers call after purchase to check delivery status, request a return, or escalate a failed refund. The agent captures order context and routes only exceptions to the support team.

Comparable operator shape

Boots logo
Boots
Shopify brands
High-volume D2C ops

4

support intents

ID + ETA

minimum capture

VIP

escalation route

EvidenceExample
Caller phraseMy order VA2049 is late and the return pickup failed
Captured fieldsOrder ID, issue type, delivery state, refund state, sentiment
HandoffSupport case, exception route, callback owner, transcript
Refund, damaged-product, and angry-customer language can force human routing.
The agent logs the exact reason a case needs human follow-up.
Support leaders can see which policies create avoidable calls.
ShopifyZendeskWhatsAppEmail
View vertical workflow

Voice agents

Hear every agent before you book a demo.

Choose an agent, switch between Hindi, Tamil, Punjabi, and Gujarati, then play the recorded voice sample.

Recorded samples only. No live voice API runs in the browser.

Voice agents

Aria

Healthcare receptionist · Warm Indian, patient, reception-trained

Ready
Voice sample selected

Hindi sample

Recorded MP3
Aria

नमस्ते, रिवरसाइड डेंटल में कॉल करने के लिए धन्यवाद। मैं Aria, आपकी AI असिस्टेंट बोल रही हूं। मैं appointment book करने या urgent symptoms के लिए clinic team से connect करने में मदद कर सकती हूं।

English meaning

Thank you for calling Riverside Dental. This is Aria, your AI assistant. I can help book an appointment or connect you to the clinic team for urgent symptoms.

Working product video

Watch the order flow
before the dashboard.

A short distributor call walkthrough using the supplied video HTML, conversation scenes, and the same call-to-approval operating loop shown across the site.

What to watch

Caller

A distributor speaks naturally, with shorthand product names and no portal.

Agent

Priya confirms the order aloud before anything is marked captured.

Ops

The structured order moves into a human approval queue before ERP push.

Operations teammate speaking with a caller at a desk

Human context

AI should make the phone feel more reliable, not less human.

Built around people

Voice AI for the messy, human reality of business calls.

The product is not a bot demo in isolation. It is a calmer phone line for the caller, a cleaner queue for the team, and a control surface for the manager who has to trust the outcome.

Caller

They speak naturally.

No app download, no new behaviour. A patient, distributor, or borrower calls the number they already know.

Team

Staff stay present.

The repetitive call is handled, but the human team still owns exceptions, approvals, and relationship moments.

Manager

Control stays visible.

Every capture has a transcript, status, owner, and downstream action so operations can trust the workflow.

Operator note

Indian businesses still close critical work over phone calls. Vaani OS is built so no call disappears, no order is lost, and no staff member spends the day repeating the same intake script.

Controlled pilot

Launch a real call pilot in 72 hours.

This is not a six-month contact-centre transformation. We start with one call flow, one approval queue, and one measurable outcome your ops team can inspect every day.

Understanding intent

72 hrs

Pilot environment ready

Listening

Day 1

Real calls can be monitored

Resolved

0

ERP pushes without approval

Setup readiness

82%

Phone routing, catalog, and escalation rules are the launch blockers.

Human control

100%

Every first pilot keeps approval before downstream push.

StagePilot task
Step 1Connect or provision the phone number
Step 2Load your SKU catalog, intake script, or appointment flow
Step 3Configure languages, business hours, and escalation rules
Step 4Route every capture into a human approval queue
Step 5Review call logs, transcripts, and tuning opportunities weekly

Buyer questions

The trust questions
should be answered early.

These are the questions operations, sales, and IT teams ask before letting AI near a live phone line.

Control

What happens if the AI misunderstands?

The capture is not pushed blindly. Low-confidence calls, disputed items, and every order or booking can sit in a human approval queue before downstream action.

Review first

Caller experience

Do callers need to change behaviour?

No. They call the same number and speak naturally. The workflow is designed for phone-first businesses, not portal adoption.

Same number

Ops workflow

Can our team approve before ERP?

Yes. Approval is a core product surface. Ops can review, edit, retry, approve, or escalate before ERP, CRM, EHR, Sheets, or WhatsApp updates.

Approval queue

Language

Can it speak Hindi and regional languages?

The FMCG workflow is designed around Hindi and regional-language ordering patterns, including shorthand product names and repeat distributor behaviour.

Native calls

Launch

How fast can we go live?

A controlled pilot can be configured in 24-72 hours once the phone flow, catalog or intake form, and escalation rules are available.

24-72 hours

Escalation

When does a human take over?

Emergency, VIP, disputed, low-confidence, or out-of-script calls can transfer or be flagged with transcript context so staff do not start from zero.

Human handoff

The platform

One platform.
Full lifecycle.

Configure one workflow quickly, deploy after routing and data setup, monitor calls live, and optimise weekly with your ops team in the loop.

1

CONFIGURE

Upload your catalog, intake form, or SKU list. Set language, agent name, business hours.

2

DEPLOY

Your phone number goes live in 24 hours. AI handles every inbound call from day one.

3

CAPTURE

Every order, booking, lead, or inquiry captured in real time. Timestamped. Logged.

4

REVIEW

Your team reviews the AI's captures before anything moves downstream. One click to approve.

5

OPTIMISE

Call logs, transcripts, and capture rate data let you tune the bot weekly without a developer.

Operations team monitoring high-volume phone calls

Lifecycle control room

Monitor live calls, review load, and exception paths from one operating surface.

Stage

Configure

Stage

Capture

Stage

Approve

Distribution warehouse inventory and order operations

Approval queue

Captured orders wait for human sign-off before any ERP action.

0 auto-pushes

Operations team reviewing customer workflows

Weekly tuning

Transcripts, missed intents, and handoff notes improve the agent every week.

Ops owned

Human-in-the-loop

The visual layer now uses operational photography while the copy names the exact decisions buyers care about: review load, ERP push status, pending approvals, and weekly tuning.

Integrations

API-first,
ops-ready.

Vaani OS sits between your phone lines, AI stack, and business systems so every call can become a structured order, booking, lead, or escalation.

Twilio
Exotel
Deepgram
Sarvam AI
ElevenLabs
Azure
Anthropic
Groq
Twilio
Exotel
Deepgram
Sarvam AI
ElevenLabs
Azure
Anthropic
Groq
Twilio
Exotel
Deepgram
Sarvam AI
ElevenLabs
Azure
Anthropic
Groq
Tally
Zoho
Google Sheets
WhatsApp
Dentrix
OpenDental
SendGrid
PostgreSQL
Tally
Zoho
Google Sheets
WhatsApp
Dentrix
OpenDental
SendGrid
PostgreSQL
Tally
Zoho
Google Sheets
WhatsApp
Dentrix
OpenDental
SendGrid
PostgreSQL

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