Caller
The caller hears a steady voice.
No portal, no ticket number, no new behaviour. They call, speak naturally, and get a clear next step.
Vaani OS Platform
Built for scale. Designed for ops teams.
The Vaani OS platform orchestrates the full AI agent lifecycle — from first call to approved ERP, CRM, or EHR update — without a long internal engineering project.
Book a Demo →Ops handoff
Built for teams that already answer calls for a living.
Vaani OS does not replace your operating rhythm. It gives the repetitive calls to AI, keeps exceptions with people, and makes every handoff visible enough for managers to trust.
Reviewer
The team sees what happened.
Every call becomes a reviewable record with transcript, intent, confidence, owner, and downstream action.
Manager
The process stays accountable.
Supervisors can spot hangups, low-confidence captures, peak-hour load, and which workflow needs tuning.
Friday review
Tune the agent from real calls, not abstract chatbot prompts.
Full pipeline deep-dive
From setup to optimisation,
every step is operational.
Five controlled stages give ops teams visibility without turning every deployment into an IT project.
Step 1: CONFIGURE
Set up in hours, not months.
Connect your phone number. Upload your SKU catalog, appointment intake form, or product list. Set your agent's name, language, and business hours. No engineering team required.
Agent configuration
DraftAgent name
Priya
Primary language
Hindi
Business hours
09:00–18:30
Catalog file
sku_catalog_may.csv
Step 2: DEPLOY
Live in 24 hours.
Your AI agent can answer calls the next business day after routing and workflow setup. Vaani OS manages telephony and voice infrastructure, with peak-call capacity planned during deployment.
Inbound call received
AI answered in 1 ring
Language detected: Hindi
Step 3: CAPTURE
Every word, captured and structured.
Real-time streaming STT in 8 Indian languages. LLM extracts structured intent (order items, booking details, loan requirements) in every turn. Full transcript logged.
●Live Transcript · Vaani OS
STT → LLM → TTS
CallerMujhe Tuesday morning ka appointment chahiye.
AITuesday morning noted. May I confirm your name?
SystemIntent: appointment_booking · Confidence: 0.96
Capture ready for review
Step 4: REVIEW
Human approval before anything moves.
Every AI-captured outcome sits in a queue. Your ops team reviews, edits if needed, and approves. One click pushes to your ERP, CRM, or EHR.
Approval queue
12 pendingA G Enterprises
2 SKUs · ₹18,420
Riverside Dental
Cleaning appointment · Tuesday
NovaCare Clinics
Follow-up booking · Dr. Mehta
Step 5: OPTIMISE
Get better every week.
Weekly email digests. Call log analytics. Capture rate by day, hour, and territory. Heatmaps show you when your distributors call — and when they hang up.
Weekly analytics
Last 7 days87 sec
Order call
0
Unapproved push
8
Language flows
Operating surfaces
Built around the work
your team already runs.
The product is organized around four operating moments: live monitoring, approval, call review, and weekly optimisation.
live route dashboard
FMCG command view
Inbound call activity, queue state, recent captures, and review load on one operator screen.
recent capturesqueue statecall outcomes
approval before push
Order approval queue
Approved orders remain visible before ERP push, with counts and operator ownership.
operator ownershiperp hold
clinic review surface
Healthcare action queue
Escalations, callbacks, SMS actions, and confirmations stay inside one booking queue.
callbackssms actionsescalations
ops tuning surface
Weekly optimisation
Disposition trend, timing heatmap, and funnel metrics support weekly workflow tuning.
heatmapfunneltrendline
Built on best-in-class AI infrastructure.
TwilioExotelDeepgramSarvam AIAnthropic ClaudeElevenLabsGroqAzurePostgreSQL
Ready to stop missing calls?
Book a 30-minute demo. We'll show you a live call — in your language, with your industry's real scenarios.
Book a Demo →