Source-trained agents
Every client gets approved knowledge, documents, policies, and escalation boundaries so the agent answers from source.
AI phone agents that prove their work
Zvoni
Turn missed calls, messy follow-ups, and staff overload into source-trained AI conversations, human handoffs, client-visible reports, and measurable revenue.
Answer more calls
24/7
Voice, SMS, and WhatsApp coverage
Recover missed revenue
$18k+
Example monthly pipeline captured
Escalate safely
<60s
Human handoff with caller context
Prove performance
100%
Reports, logs, recordings, and billing
Product demo reel
One call becomes a tracked revenue workflow.
Live product flow
00:42Step 1
Caller asks
Ticket link for tomorrow?
Step 2
AI acts
Approved SMS link sent
Step 3
Portal proves
Lead and recording saved
Response path
AI + action
Source rule
Approved only
Outcome
Trackable lead
Call recording
SMS delivery
Staff task
Speed to aha
Let buyers see the magic before a sales call.
The report was right: the homepage should not make people read forever. The demo widget, proof reel, and edge-case wall show what happens when a real caller asks for something useful.
above fold
Instant call request
visible
Proof trail
Product
Not just an AI receptionist. A client operations platform.
The money is in the workflow after the call: what was asked, what was promised, who needs to follow up, what revenue was created, and whether the client can see proof.
Revenue angle
A missed $400 booking, refill request, appointment, consultation, or service job is not a support problem. It is lost pipeline. Zvoni is built to capture it, route it, and report it.
Human escalation
If the agent is unsure, blocked by policy, or a caller asks for staff, Zvoni creates a follow-up with full context.
Backend-ready integrations
Connect phone, SMS, WhatsApp, ticketing, calendars, pharmacy systems, CRMs, and billing as each client needs them.
Client-visible analytics
Clients see calls, recordings, reports, preferences, billing, activity, and AI performance instead of guessing.
Inbound and outbound
Handle inbound requests and run outbound appointment follow-up or reminder campaigns with provider audit trails.
Launch controls
Provider validation, credential readiness, webhook security, QA, and deployment gates are built into the product.
Recovered pipeline model
Missed calls turn into measurable follow-up.
Missed calls
120/mo
Qualified
38%
Avg value
$400
After-hours demand72%
Staff overflow54%
Follow-up recovered41%
Potential monthly pipeline
$18,240
Simple model: missed calls × qualified intent × average booking or job value.
ROI story
A few recovered calls can pay for the system.
The pitch is simple: if a client misses calls during rush hours, after hours, or when staff are busy, AI coverage can recover leads that already wanted to buy.
Show missed-call value by client
Track agent-handled leads
Connect reports to billing
Use call recordings and notes for proof
Transparent pricing
Show the bill and the upside in the same conversation.
Buyers hate surprise token math. This calculator turns the pricing story into a simple pilot model: platform, minutes, and recovered-call value.
Pricing calculator
Simple pilot math buyers can understand.
This is a planning model, not a final quote. It shows the kind of transparent pricing story we should use: platform fee, usage, and recovered-call upside.
Estimated monthly
$919
Base + managed voice usage
Revenue model
Recovered pipeline
$7,875
ROI multiple
8.6x
Managed minute rate
$0.35
No token mystery in the pitch
Provider costs can be itemized later
Retainer and usage are easy to explain
Client proof
Clients do not just hear that AI helped. They can see it.
Every call should leave behind evidence: who called, what they wanted, what the agent did, what was escalated, and whether the business captured value.
Live calls12 active
See which conversations are in progress, queued, or escalated.
Recording reviewplayback
Open call recordings, transcripts, caller history, notes, and tags.
Daily performance91%
Track answer rate, lead capture, escalations, and resolved outcomes.
Revenue proof$18.4k
Tie captured calls to follow-ups, reports, invoices, and client ROI.
Client portal
Performance cockpit
148
Calls
37
New leads
92
Recordings
11
Tasks
Recent conversation
Caller
Needs VIP table for 8 this Saturday.
AI result
Collected budget, time window, phone, and preferred section.
Escalation
Sent to host with transcript, recording, and tags.
Outcome mix
Resolved by AI68%
Human follow-up24%
Knowledge gap8%
Client report sent
Recording reviewed
Invoice proof ready
Multilingual voice
Callers speak naturally. Your team still gets clean English notes.
A caller can ask in Spanish, Portuguese, Russian, Hebrew, Arabic, French, Chinese, or another supported language. The agent can respond in that language, then keep the original transcript beside an English translation for review, tags, reports, and follow-up.
Detect caller language
Reply in supported languages
Save original transcript
Generate English staff notes
For regulated or high-risk requests, language support still follows the same rule: answer from approved sources or escalate to a human.
Bilingual call review
Original + English proof
Caller · original
¿Pueden enviarme el link para la fiesta de mañana?
AI · original
Sí. Te mando el enlace aprobado por SMS y lo guardo en tu perfil.
English staff note
Caller requested tomorrow's event link. Approved SMS link sent. Source tagged as AI phone agent.
Operator review
Original savedEnglish translatedSMS sentLead tagged
Edge-case proof
Do not only show perfect calls. Show what happens when calls get messy.
This gives us a premium demo strategy: test interruptions, noisy callers, missing knowledge, language preference, and escalation in public-facing proof clips.
Barge-in
Interrupted caller
Caller: Wait, no, I meant tomorrow night.
The agent stops, updates the date, and confirms the new request before taking action.
Bad audio
Noisy room
Caller: Can you text the ticket link?
The agent asks one short confirmation question, sends the approved link, and logs delivery.
Knowledge gap
Missing source
Caller: Do you have a private buyout price?
The agent avoids guessing and escalates to staff with caller details and context.
Language
Multilingual handoff
Caller: Prefiero hablar en español.
The agent matches the caller's language, saves the original transcript, and gives staff an English summary.
Voice quality moat
Win on latency, interruption handling, tone, and language coverage.
These are the things buyers notice immediately. We should test and publish proof as provider settings, voice models, and client workflows mature.
Fast turns
Latency targets
Provider timing, model choice, fillers, and retrieval rules are measured during pilot QA so the call feels natural.
Barge-in
Interruption handling
Demo scripts should include callers who change dates, correct details, or interrupt while the agent is speaking.
Natural
Emotion and tone
Agents can acknowledge frustration, slow down, and use brief fillers while looking up approved information.
Multilingual
Language coverage
Zvoni can serve multilingual callers while keeping original and English-translated notes visible for staff review.
Industries
Different industries. Different playbooks. Same command center.
Nightclubs, venues, and events
Answer hours, dress code, table minimums, ticket links, VIP inquiries, private events, and host handoff.
Pharmacies and healthcare-adjacent teams
Collect refill requests, route patient-specific questions to staff, and keep source-approved answers locked down.
Home and local services
Qualify urgency, collect job details, schedule callbacks, and keep every customer follow-up visible.
Medspas, clinics, and appointment businesses
Answer service questions, capture consultation intent, send reminders, and follow up on no-shows.
High-intent use cases
Built for the searches buyers already make.
The public site can rank around the problems clients know they have: missed calls, phone overload, after-hours demand, and AI answering that still escalates safely.
AI answering service for venues and nightclubs
Ticket links, VIP inquiries, table minimums, private events, hours, dress code, and host escalation.
Capture nightlife demand while staff are busy at the door, bar, or reservation desk.Open page
AI phone agent for pharmacies
Refill request intake, general pharmacy info, backend eligibility checks where connected, and safe staff escalation.
Reduce repetitive phone load without letting the agent guess on patient-specific questions.Open page
AI receptionist for service businesses
Job qualification, emergency routing, quote requests, appointment follow-up, and missed-call recovery.
Turn unanswered calls into structured tasks your team can act on.Open page
Comparison
Built to beat scripts, bots, and disconnected tools.
Competitors answer pieces of the workflow. Zvoni is built around the whole client operation.
Traditional answering service
Weakness
Staff reads scripts, misses business context, and sends messy notes.
Zvoni
AI captures structured caller data, creates tasks, and keeps history in the client profile.
Generic chatbot
Weakness
Answers from loose prompts and cannot reliably handle calls, billing, reports, or escalation.
Zvoni
Source-approved knowledge, voice and messaging channels, human handoff, and operational reporting live together.
Single-channel voice bot
Weakness
Handles calls but loses the rest of the business workflow.
Zvoni
Calls, WhatsApp, SMS, recordings, tasks, billing, templates, users, and integrations share one client workspace.
Launch model
A clean path from demo to internal testing to paid client launch.
01
Audit
Estimate missed-call value, call volume, staff bottlenecks, and high-intent workflows.
02
Train
Load approved documents, FAQs, policies, escalation rules, and backend boundaries.
03
Pilot
Run controlled inbound and outbound tests with recordings, QA, and client-visible reports.
04
Scale
Add channels, integrations, staff roles, billing, alerts, and performance reviews.
How it works
From call to outcome in one tracked flow.
The agent answers, the platform records what happened, and the client sees the operational result. No mystery, no loose notes, no buried inbox threads.
01
Caller reaches out
Voice, SMS, or WhatsApp starts a tracked conversation.
02
Agent answers from source
Approved playbooks, documents, and client rules control the response.
03
System routes the outcome
Book, send a link, create a task, escalate, or mark a follow-up.
04
Client sees proof
Reports, recordings, notes, invoices, and activity stay visible.
FAQ
Answers buyers ask before they trust AI with customers.
Can AI agents handle outbound calls?
Yes. Outbound follow-up is more sensitive than inbound answering because it needs consent, timing rules, campaign controls, and provider limits. Zvoni is being built with campaign queues, recipient states, result mapping, and provider audit receipts so outbound can be controlled instead of improvised.
Can agents answer pharmacy refill questions?
They can collect refill requests and general information, but patient-specific refill eligibility should be pulled from the pharmacy backend or escalated to staff. Zvoni is designed around that boundary: answer from approved sources, use backend integrations where allowed, and escalate when the agent cannot safely answer.
How many calls can the AI handle at the same time?
Concurrency depends on the voice provider, phone numbers, account limits, and model configuration. Architecturally, AI calls can scale beyond a human receptionist because sessions are independent. Before real traffic, Zvoni validates provider credentials, callbacks, logs, and usage controls.
Can the agent speak with multilingual callers?
Yes, multilingual voice is a major part of the product strategy. The agent can detect the caller's language when supported, keep the original transcript, create an English translation for staff, and escalate when language confidence or approved source coverage is not strong enough.
What makes Zvoni different from an answering service?
Zvoni combines answering, source-trained knowledge, client CRM, recordings, follow-up tasks, billing, reports, user permissions, and provider validation. The goal is not just answering the phone; it is proving what happened and turning calls into operational outcomes.
Get started
Start with a missed-call revenue audit.
We look at call volume, business type, after-hours demand, staff bottlenecks, and the workflows that would create measurable value fastest.
Prefer email? support@zvoni.ai
1 call
Pilot fit
clear
ROI angle
safe
Escalation