---
title: "Voice agents that speak like a local."
description: "CallWhiz AI is a voice AI platform whose agents handle inbound and outbound phone calls in 30+ languages — self-serve and pay-as-you-go to start, and deployable inside your own cloud or on-premise when you need it."
url: "https://callwhiz.ai"
---


# CallWhiz AI: Voice agents that speak like a local.

CallWhiz AI is a voice AI platform whose agents handle inbound and outbound phone calls in 30+ languages — self-serve and pay-as-you-go to start, and deployable inside your own cloud or on-premise when you need it.

Agents that answer and place real phone calls in 30+ languages. Build one in an afternoon, put it on a number, pay per minute. Run it on our cloud — or inside your own, when the audio cannot leave your network.

## What the platform does

### It sounds like a person, not a phone tree

Every reply is written to be heard rather than read, and the way it is spoken is chosen per reply rather than fixed once per agent.

- Speaks in short, spoken sentences: the length a person actually uses on a call, not a paragraph read aloud.
- Warmth, calm or urgency is chosen for each reply and carried into the voice, so the delivery matches what is being said.
- Natural hesitations and acknowledgements where a person would use them, and none where they would not.
- Reads numbers, dates, codes and amounts the way a person says them aloud, and reads important ones back for confirmation.
- Register, courtesy forms and openers follow the language being spoken, not a translation of English phrasing.

How it works: The delivery instruction is generated per reply and mapped to whatever the selected voice can actually perform: pauses, emotion, rate or a spoken-style prompt. Anything the engine cannot perform is stripped rather than spoken aloud. Every call is scored afterwards on reply length, speaking rate, repeated sentences, stock phrases and filler use, and those numbers sit on the call record.

### It knows when to speak, and when to stop

Interruption and end-of-turn are decided from how the caller’s voice actually ends, which is what makes a phone conversation feel like a conversation.

- Interrupt it mid-sentence and it stops to listen, the way a person does.
- When you talk over it, its own voice drops out of your way instead of competing with you.
- A pause mid-thought is treated as a pause, not as your turn ending. It waits instead of talking over the end of your sentence.
- If a call goes silent it re-engages once, and ends the call cleanly rather than holding an empty line.
- If the caller says goodbye, the call ends there. No last word after the farewell.

How it works: End-of-turn is an acoustic decision, how the voice trails off, rather than a fixed silence timer or a keyword list, with barge-in gated so a one-word backchannel does not derail a sentence. Turn-taking is tuned for phone audio specifically, which behaves nothing like a laptop microphone.

### It answers from your material, and says so when it cannot

Upload the documents an agent should answer from, and it answers from them, or admits it does not know rather than inventing something plausible.

- Price lists, policy documents, product sheets, FAQs, scripts: uploaded, and used on the call.
- Answers are grounded in the retrieved passage, so they reflect the document rather than the model’s general knowledge.
- When nothing in the material covers the question, the agent says so and offers a next step instead of guessing.
- Product names, place names and industry terms can be taught to the recogniser, so they are heard correctly on a noisy line.
- Updating a document updates what the agent says. There is no prompt to rewrite.

How it works: Retrieval runs per turn and starts while the caller is still speaking, so the lookup is already in hand when the reply is composed. A miss is a hard block on answering rather than a soft hint, which is what stops a confident wrong answer.

### It remembers the last conversation

When memory is switched on, an agent recognises a returning caller and picks up where the last call ended.

- Recalls what the caller asked for, agreed to, or was promised.
- Removes the “as I mentioned last time…” gap that makes automated calls feel like starting over.
- Off by default and enabled per agent, because not every use case should remember a caller.

### It does the work, not just the talking

Agents call your systems mid-conversation, booking, looking up, updating, creating, and speak the result back.

- Book, reschedule and cancel against a real calendar, with time zones handled.
- Look a customer up, check an order or a balance, and answer with what the system actually returns.
- Create or update a record in your CRM while the call is still running.
- Any internal API can be given to an agent as an action, with the words it should use while it waits.
- Actions that change something can be made to require the caller’s spoken confirmation first.

How it works: Each action is described to the agent with its own parameters and a natural “while I check that…” line, so a slow backend sounds like a person checking rather than dead air. Sensitive actions sit behind a read-back-and-confirm gate.

### It hands over to a person properly

A caller can reach a human at any point, and the human arrives with the context rather than asking the caller to start again.

- Ask for a person, press a key, or simply sound like you want one. All three route the call.
- The person receiving it is briefed on what the caller wanted before they speak.
- Transfer to a desk, a mobile, or a queue.
- Calls that end in a handover are marked as such, so you can see what your agents are handing over and why.

### It speaks your customers’ languages

One agent covers 30+ languages with code-switching mid-sentence, rather than a separate deployment per market.

- Callers switch language mid-sentence and the agent follows.
- Regional accents and dialects are supported within a language, not flattened into one.
- A library of voices to choose from, or a custom voice cloned for your brand.
- A language we do not yet cover can be added, typically in three to four weeks.

How it works: The language of the reply follows the caller turn by turn; it is not pinned at the start of the call.

### It runs on your phone lines

Agents connect to the telephony you already have, over SIP. No replacement of your phone system.

- Connects over SIP to your existing setup, including major cloud and on-premise platforms.
- Or take a number from us: call destinations in 180+ countries, numbers available in 20+.
- Inbound and outbound from the same agent. One build, both directions.
- Bring your own carrier account if you have one, and keep your rates.
- Recording, transcripts and per-number routing included.

How it works: Inbound routing is per number, so one account can run different agents on different lines, and an agent can be swapped on a number without touching the carrier.

### It is not only a phone agent

The same agent answers on the web, on WhatsApp and in your mobile app, with one set of instructions and one set of knowledge.

- An embeddable voice widget for your website. The caller clicks and talks.
- The official WhatsApp Business API, including tap-to-answer menus that fill in details without a round trip.
- Mobile: route a call to a teammate’s phone when they are available, and let the agent take it when they are not.

### It makes the calls you never get around to

Run outbound campaigns from a list, a sheet or your CRM, with retries, pacing and per-call outcomes written back.

- Upload a list or connect a CRM; the campaign dials, talks, and records what happened.
- Failed and unanswered calls retry on their own schedule instead of being lost.
- Outcomes and extracted fields are written back to the source record.
- Pre-recorded campaigns with personalised details spliced in, where a full conversation is not needed.
- A campaign can be paused platform-wide, immediately, including calls that are ringing.

### It stays inside the rules you set

Compliance is a setting on the agent, not a paragraph in the prompt hoping to be obeyed.

How it works: The guard sits between the model and the voice, so a rule breach is stopped before it is spoken, not flagged afterwards. Floors in a regulated pack cannot be relaxed from the console; relaxing one requires an audited override.

### You can test it before your customers do

Agents are tested against written scenarios the same way software is, so a prompt change is checked before it reaches a caller.

- Write a scenario, an awkward caller, a refund demand, a wrong number, and run the agent against it.
- Turn a real call that went badly into a test case in one click.
- Compare two versions of an agent head to head before switching.
- A weekly improvement pass proposes changes, and a person approves or rejects each one. Nothing edits itself into production.

### You can see exactly what happened on every call

Every call leaves a full record: recording, transcript, outcome, who ended it and why, what the agent did, and how it sounded.

- Recording and searchable transcript.
- Outcome and end reason on every call: resolved, transferred, callback, abandoned, opted out.
- The actions the agent took, and what came back.
- A post-call summary that quotes the call rather than paraphrasing it.
- How it sounded: speaking rate, reply length, repeated sentences, filler use, so “it sounds robotic” becomes something you can point at and fix.

### Building one takes an afternoon

Describe the job in plain language and the agent is drafted for you, section by section, with the gaps flagged before it goes live.

- Describe the job; the instructions are written for you, then edited by you.
- A lint pass catches the mistakes that cause bad calls: missing boundaries, a tool the agent cannot actually call, a rule that contradicts the compliance pack.
- Every version is kept, with who changed it and when, and any version can be restored.
- Test by phone or in the browser before it goes anywhere near a customer.

### Developers get the whole thing as an API

Everything the console does is an API call, and every call can push events to your systems.

- Create and manage agents, place calls and read call records programmatically.
- Web SDK with signed tokens and domain allow-listing for browser calling.
- Webhooks before a call (to look the caller up) and after it (to file the result).
- Published OpenAPI description; bearer-token auth.

### Run it where your data has to live

The same platform runs as SaaS, inside your own cloud account, or on your own hardware, with the same features either way.

- SSO and role-based access, data residency by region, multi-tenancy, 99.9% uptime SLA: available when you need them, not required to start.
- In-cloud and on-premise deployments are scoped first, then live on real calls in about 30 days.

### Pricing that a small team can start on

Pay per minute from credits, with no platform fee, no per-seat charge and no monthly commitment.

- One credit is US$0.01.
- A standard-voice minute is about five credits; premium voices about seven; realtime models eight to fifteen.
- No platform fee, no seat licences, no minimum.
- Larger deployments are quoted separately.

## Where CallWhiz AI works

- [United States](https://callwhiz.ai/markets/united-states.md): English, Spanish named; CallWhiz AI voice agents answer and place calls for US businesses in English and Spanish, on the phone lines you already run over SIP, with the calling-hour, cap and opt-out controls consent-based outbound calling relies on, and the option to keep call audio inside your own AWS, Azure or GCP account.
- [United Kingdom](https://callwhiz.ai/markets/united-kingdom.md): English named; CallWhiz AI voice agents answer and place calls for UK businesses in English with regional accents kept intact, connect over SIP to the phone system you already run, and enforce calling hours and opt-outs before a call is placed, the controls UK GDPR and PECR marketing rules depend on.
- [Europe](https://callwhiz.ai/markets/europe.md): German, French, Spanish, Portuguese, English named; CallWhiz AI voice agents serve businesses across Europe in German, French, Spanish, Portuguese, English and more from one agent, run inside an EU region of your own cloud or on-premise when data must stay put, and carry the disclosure, retention and erasure controls that GDPR and the EU AI Act call for.
- [Middle East](https://callwhiz.ai/markets/middle-east.md): Arabic, English, Hindi named; CallWhiz AI voice agents serve businesses in the UAE, Saudi Arabia and the wider Gulf in Arabic and English, following callers who switch between them mid-sentence, running inside a Gulf region of your own cloud or on-premise where data must stay in-country, and on your licensed carrier's lines over SIP.
- [India](https://callwhiz.ai/markets/india.md): Hindi, English named; CallWhiz AI voice agents serve businesses in India in Hindi and English, following callers who mix the two mid-sentence, with Indian English kept as an accent, calling hours and opt-outs enforced before the call, an Indian region of your own cloud for data that must stay in India, and a regional language not yet covered added in three to four weeks.

## Learn more

- Documentation: https://callwhiz.ai/docs
- FAQ: https://callwhiz.ai/faq
- Pricing: https://callwhiz.ai/pricing