Frequently asked questions
CallWhiz AI, answered
CallWhiz AI is a conversational voice AI platform whose agents answer and place phone calls in 30+ languages. Most customers are small and mid-sized businesses who are live the same day; the same platform runs inside your own cloud or on-premise when it has to. Below are the questions asked most often before signing up.
Platform
- What is CallWhiz AI?
- CallWhiz AI is a conversational voice AI platform. Its agents answer and place phone calls, hold a natural back-and-forth conversation, and take actions such as booking an appointment, updating a CRM record or transferring the caller to a person. A small team can sign up, build an agent and be taking live calls the same day. The same platform also runs inside a company's own AWS, Azure or GCP VPC, or on-premise on bare metal or Kubernetes, for organisations whose call audio cannot leave their network.
- Can CallWhiz AI run on-premise or in our own cloud?
- Yes. CallWhiz AI deploys in three shapes: as SaaS on CallWhiz AI's infrastructure, inside the customer's own cloud account (AWS, Azure or GCP VPC), or on-premise on the customer's bare metal or Kubernetes cluster. In the second and third, call audio and transcripts never leave the customer's network. That is what companies in regulated industries pick CallWhiz AI for over cloud-only voice AI APIs, which require audio to transit a vendor's cloud. Smaller teams who do not need it just use the hosted version.
- Is CallWhiz AI only for large companies?
- No. Most CallWhiz AI customers are small and mid-sized businesses — clinics, agencies, dealerships, lenders, software companies — running anything from a few hundred calls a month upwards. Sign-up is self-serve, there is no monthly platform fee and no minimum commitment, and an agent can be live the same day without talking to anyone. The heavier machinery (on-premise deployment, SSO, data residency, an uptime SLA) exists for the larger organisations that need it, and stays out of the way for everyone else.
Telephony
- Does CallWhiz AI work with our existing phone system?
- Yes. CallWhiz AI connects over SIP to the telephony a company already runs, including Twilio, Avaya and Genesys, and to carrier SIP trunks directly. Numbers do not have to be ported and the existing contact centre can stay in place; the agent becomes another destination the switch can route to.
- Does CallWhiz AI handle both inbound and outbound calls?
- Yes, and on the same agent deployment. One agent configuration answers calls that come in and places calls that go out, so an outbound campaign and an inbound support line can share a prompt, a voice and a set of tools rather than being built twice.
Capabilities
- How many languages does CallWhiz AI support?
- CallWhiz AI agents speak 30+ languages, and handle code-switching, where a caller mixes two languages inside one sentence. One deployment covers every market rather than one stack per country. Languages outside the supported set can be added as custom models, typically in three to four weeks.
- Does a CallWhiz AI agent talk over people, or wait awkwardly?
- Neither, because the turn-taking is tuned for phone audio rather than a browser demo. CallWhiz AI agents handle barge-in: a caller can interrupt mid-sentence and the agent stops speaking and listens instead of talking over them. Endpointing decides when the caller has actually finished rather than pausing to think, so replies start when the caller stops rather than after a silence.
- Can a call be transferred to a human agent?
- Yes. A CallWhiz AI agent can warm-transfer a caller to a person at any point in the call, either because the caller asks or because the conversation hits a condition the agent was told to escalate. The human receives the call with the context of what was already discussed.
- What channels does CallWhiz AI support besides the phone?
- Besides phone calls, CallWhiz AI serves a web voice widget that can be embedded in a site or product, the official WhatsApp Business API for conversational messaging, and mobile. Agents, prompts and tools are shared across channels, so a change to an agent applies everywhere it runs.
- Can CallWhiz AI speak in our own brand voice?
- Yes. CallWhiz AI supports custom voice models cloned from a short recording, so an agent can speak in a brand voice rather than a stock one, with the dialect and accent chosen per agent. Voices can differ per agent within the same account.
- Does a CallWhiz AI agent remember previous calls with the same person?
- Yes, when memory is enabled on the agent. CallWhiz AI extracts durable facts from a completed call and makes them available on the next one, so a returning caller does not have to repeat context the agent was already told.
Pricing
- How much does CallWhiz AI cost?
- CallWhiz AI is priced in credits, where one credit is US$0.01. A minute on a standard voice is about five credits (roughly $0.05), a premium voice about seven, and realtime models run $0.08 to $0.15 a minute. Credits are bought as needed: there is no monthly platform fee, no per-seat charge and no minimum commitment, so a business making a few hundred calls a month pays for a few hundred calls a month. Deployments inside a customer's own cloud or on-premise are quoted separately.
- Is there a free trial of CallWhiz AI?
- Yes. A new CallWhiz AI account starts with a one-time credit grant so an agent can be built and tested on real calls before anything is bought. No card is required to create the account.
Comparison
- How does CallWhiz AI compare to Vapi, Bland AI or Retell AI?
- Vapi, Bland AI and Retell AI are cloud-only voice APIs aimed at developers: the audio runs through their cloud and the unit of work is an API call. CallWhiz AI is a platform rather than a set of endpoints — a dashboard to build and test agents, a REST API when you want one, and the option to run the whole thing inside your own VPC or on-premise. Teams choose CallWhiz AI when they want to ship without wiring a stack together, when call data cannot leave their network, or when an existing Avaya or Genesys estate has to stay.
- How is CallWhiz AI different from Twilio?
- Twilio is telephony infrastructure: numbers, trunks and APIs to move calls. CallWhiz AI is the conversational agent that talks on those calls, and it treats Twilio as one of the carriers it connects to. The two are complementary — a common deployment keeps Twilio for numbers and adds CallWhiz AI as the voice agent answering them.
Security
- Where is call data stored, and who can see it?
- In a CallWhiz AI deployment inside the customer's own cloud or on-premise, call audio, transcripts and recordings stay in the customer's infrastructure and CallWhiz AI has no copy. On the SaaS deployment, data is held in the region the customer selects. Recording is a per-agent setting and can be turned off entirely.
- What security and access controls does CallWhiz AI provide?
- Single sign-on and role-based access control, data residency by region, multi-tenancy for teams that run separate business units, and a 99.9% uptime service level agreement on the managed deployment. These are available to accounts that need them; nothing here is required to start, and a small team can ignore all of it.
Integrations
- What does CallWhiz AI integrate with?
- CallWhiz AI integrates with CRM, calendar and helpdesk systems so an agent can read and write the records a call is about, and with telephony over SIP, Twilio, Avaya and Genesys. Anything without a prebuilt connector can be reached through webhook tools, which let an agent call an HTTP endpoint mid-conversation and use the response in what it says next.
Developers
- Does CallWhiz AI have an API?
- Yes. CallWhiz AI exposes a REST API for creating and managing agents, placing and receiving calls, and reading transcripts and call records, plus a browser SDK for embedding voice in a web product. The API reference is at https://callwhiz.ai/api-docs.
Onboarding
- How long does it take to get a CallWhiz AI agent live?
- Most customers build an agent and test it on real calls the same day — sign up, write the prompt, pick a voice, connect a number. Deployments into a company's own infrastructure take longer: scoping first, then live agents handling real calls in about 30 days, then a full rollout. That schedule reflects telephony integration, compliance review and data residency, not the agent itself.
Use cases
- What do companies use CallWhiz AI for?
- The common deployments are tier-one customer support handled end to end with escalation to a person, outbound sales qualification and collections outreach, appointment booking and reminder calls, and replacing a touch-tone IVR with a conversation that routes on what the caller actually said.
Company
- Who operates CallWhiz AI?
- CallWhiz AI is operated by Zingaro AI Private Limited, a company registered in India, serving customers globally with pricing in US dollars.