AI voice agents that answer every call, day and night.

An AI voice agent is software that holds a natural spoken conversation over the phone — it listens to a caller, understands what they mean, responds in a human-sounding voice, and takes real action such as booking an appointment, answering a question or routing the call. It combines speech recognition to hear, a large language model to understand and decide, and speech synthesis to speak, all fast enough to feel like a normal conversation.

Unlike an old phone menu ("press 1 for sales"), a voice agent understands plain speech and handles the back-and-forth of a real call, including interruptions and follow-up questions. Done well it is less about the AI and more about the engineering around it — the split-second timing, the connection to your systems, and a clean hand-off to a person. That discipline is exactly what Avaib brings, drawing on more than 600 projects delivered since 2004.

An old IVR menu makes callers navigate a rigid tree of options and only understands button presses or a few set words. A voice agent understands natural speech — a caller can just say why they are ringing in their own words — and can actually handle the request, not just point them to a queue.

It also copes with the messy reality of a real call: interruptions, follow-up questions, people who do not speak in tidy sentences. And because it connects to your systems, it can complete the task on the call rather than handing the caller off to wait.

We build the agent to be upfront that it is an AI assistant where it should be, which is both honest and, in many places, a legal requirement for automated calls. In practice callers care far more about getting their problem solved quickly than about who solves it — a fast, accurate agent that books their appointment beats waiting on hold for a person.

And the moment a caller wants a human, or the call needs one, the agent hands over cleanly. Nobody is trapped with a bot.

It hands the call to a person — smoothly, and with everything it has already gathered, so the caller does not have to repeat themselves. We design the hand-off rules with you: which calls always go to a human, and the moments (a confused caller, a sensitive issue, an explicit request) that trigger a transfer.

The goal is never to trap someone with a bot. The agent handles what it does well and gets out of the way for everything else.

On the phone a confident wrong answer does real damage, so we design against it. We ground the agent in your real data and information rather than letting it guess, and have it say it will check or hand over when it is unsure — instead of inventing an answer to sound helpful.

We also test the agent against real calls and awkward questions before it goes live, and monitor early conversations closely, so it is dependable on the calls your business actually gets, not just a tidy demo.

Yes — that is the difference between a useful agent and a fancy answerphone. We connect it to your calendar, CRM, booking or order systems through their APIs, so on the call it can genuinely check availability, make or change a booking, look up an order and update your records.

It works inside the tools you already run, so your diary and records stay correct and your team is not left retyping what the agent captured.

Both come down to hard engineering, not the AI model. The lag is a latency problem: hearing, thinking and speaking all have to happen inside the split-second a caller expects, or every reply lands after an awkward silence. Talking over people is an interruption ("barge-in") problem: the agent has to detect and stop the instant a caller speaks.

These are exactly the real-time systems problems a software engineering team is built to solve, and getting them right is most of what separates a voice agent that feels natural from one that feels broken. It is where we focus.

It depends on scope — a single, well-defined agent like an after-hours answering line is a small, fixed engagement, while a voice agent that handles several call types and connects to multiple systems is larger. Avaib's model is senior engineering at a cost-effective rate, typically around USD 25 per hour, which is why businesses in Australia, the US, Canada and the Middle East work with us instead of paying big-firm prices.

There is usually a small ongoing running cost for the phone, speech and AI services the calls use, which we keep transparent and swappable. Tell us which calls are costing you time or customers and we'll propose a right-sized engagement with a clear scope and a ballpark price, plus a free, no-obligation written estimate.

Yes. A voice agent improves with real calls — you learn what people actually ask and where it stumbles — so we stay on to monitor, tune and adapt it rather than vanishing after launch.

You get one accountable team for the whole journey, from mapping the first calls through to ongoing support, with a 30-day post-launch warranty on the work we deliver.