AI Voice Agent Development Company

AI voice agent, IVR or chatbot - which one fits your calls?

An IVR plays a fixed menu and routes on key presses or keywords. A voice agent - sold also as a voice bot or conversational voice AI - lets callers say what they want in their own words, looks things up in your systems and finishes the task on the call. A chatbot does similar work in text, where people can scroll, paste an order number and read a long answer.

• Keep an IVR when all you need is routing to the right department.
• Choose a chatbot when customers already reach you by web chat or WhatsApp - it is cheaper per conversation.
• Choose a voice agent when your customers phone you, calls follow a few patterns, and missed calls cost you bookings or sales.
• If the work is multi-step back-office tasks with no caller on the line, a text-first AI agent is the better fit.

How fast does a voice agent need to reply, and what slows it down?

In conversation people expect a reply within about a second of finishing a sentence; much longer and they assume the line has dropped or start talking again. Delay builds up at each hop: deciding the caller has stopped, transcribing, the model thinking, any tool call, generating speech and the telephone network itself.

The fixes are structural. Stream every stage instead of waiting for the previous one to finish, start speaking the first sentence while the rest is still being written, host the pipeline close to your callers, use a small fast model for routine turns, and cover a slow calendar lookup with a short "let me check that". We measure time to first audio on every test call.

How does a voice agent connect to your phone system?

Most businesses keep their numbers. The agent receives calls through a SIP trunk from your carrier or office phone system, or through call forwarding - all calls, only after hours, or only when no one answers within a set number of rings. New numbers from a cloud telephony provider suit a new line or outbound campaigns.

Transfer is the part most often overlooked. Decide who receives transferred calls, what happens when they are busy, and whether they need a spoken or on-screen summary first. In-app voice skips telephony entirely and runs over WebRTC inside your app, which gives cleaner audio and lets the agent show what it just booked.

Can a voice agent handle Hindi, Tamil and callers who mix languages?

Yes, with testing. Speech-to-text and text-to-speech quality varies by language, accent and vendor, and Indian callers often mix Hindi or a regional language with English inside one sentence. Vendors differ in how well they handle that mix, in numbers and dates spoken in either language, and in local names and addresses.

So we do not pick a vendor from a spec sheet. We run your own recorded calls through two or three candidate speech models, compare the transcripts, and choose per language. The agent answers in the language the caller is using, and names, drug names or product codes it keeps mishearing go into a custom vocabulary. Where a language is weak, the flow asks the caller to confirm more often.

What must callers be told, and how are call recordings handled?

The agent says in its opening line that the caller is speaking to an AI assistant and, if the call is recorded, that it is recorded and why. Rules differ by country: several US states require every party to consent to recording, the US FCC treats AI-generated voices in outbound calls as artificial voices that need prior consent, and India's DPDP Act and TRAI rules cover personal data and commercial calls. Your legal team signs off the wording; we build it into every call path.

Recordings and transcripts live in your cloud, encrypted, with a retention period you set and automatic deletion after it. Card numbers and other sensitive details can be masked in transcripts or taken through your payment provider's keypad capture instead of being spoken to the agent.

What does a voice agent cost to run per minute?

The build is quoted once; the running cost grows with every minute of call time. The lines on the bill are telephony minutes and numbers, speech-to-text by audio minute, model tokens for each turn, text-to-speech by characters spoken, and hosting, recording storage and monitoring. A speech-to-speech model replaces three of those lines with one, at a different price.

We measure cost per call minute on the full test set before launch, so you can multiply by your real call volume and compare it with what a staff minute costs you. The levers are shorter replies, a smaller model for routine turns, caching repeated answers, and transferring early on calls the agent will not finish anyway.

When is a voice agent the wrong choice?

When calls are rare, the build and testing will not pay back. When most callers are upset, grieving or negotiating, they want a person and a voice agent makes things worse. When the answer depends on judgment nobody has written down, the agent will keep transferring and you will pay for both. And when your customers already prefer WhatsApp or web chat, text is cheaper and easier to review.

Other warning signs: no system the agent can read the answers from, no one on your side to own transferred calls, or rules in your sector that do not yet allow automated calls. In those cases we will suggest a chatbot, better call routing, or simply an extra person on the phones at peak times.