A voice AI agent that answers your company’s calls in Arabic

For many businesses, phone calls are the highest-intent leads: whoever calls wants a service now. Yet a share of those calls is lost because staff are on another line, or the call came after hours, on a weekend or during prayer time. A caller who gets no answer rarely calls back; they call the next competitor in the search results.

A voice agent does not get sick, take leave or get busy, and it can answer several calls at once. It does not fully replace your reception team; it takes the repetitive requests and transfers the cases that need a person, freeing the team for the callers who really need them.

With ad campaigns in particular the value is obvious: an ad that sends callers to a number nobody answers burns budget. A voice agent makes sure every call from the ad is answered and logged, so you know exactly how many calls came in and how many became appointments.

It is a good fit when most calls are repetitive: booking an appointment, asking about prices or branches, checking an order, logging a maintenance request. It is a weaker fit when calls are complex and need negotiation or careful diagnosis; there we design it to gather the initial information and then transfer.

We usually start by analysing a sample of your calls or asking your reception team for the top ten reasons people call. If three or four reasons cover most calls, the return on a voice agent is clear and measurable from the first month.

A call goes through three stages in fractions of a second: the caller’s speech is turned into text, the text is understood and an answer or action is chosen from your company’s information and systems, then the reply is turned into natural speech. The speed of that loop is what makes the conversation feel natural, so we pick components with low latency for Arabic, and let callers interrupt the agent just as they would a person.

The agent connects to your phone line through a telecom provider that supports programmable calls. It can run on a new number or receive calls forwarded from your existing one. Every call is saved as a transcript and summary in your system, and the same agent can also run in a window on your website or inside your app.

A good voice agent introduces itself clearly, keeps it short, confirms key details such as date, time and name before saving, and makes transferring to a person easy. We write the script with your receptionists because they know how customers actually talk and what comes after the first question.

Then we test it on trial calls with different dialects, speaking speeds and noisy settings such as a car or the street, and adjust before launch. We usually go live on a subset of calls first, such as after-hours calls, then expand.

Before any of that, try it yourself: /en/try on our website has a live voice agent you can talk to from your browser. Ask it what your customers would ask, interrupt it, switch topics mid-sentence, and within two minutes you will know whether this experience suits your customers and what you would change in tone or speed.

The cost has two parts: building the agent once, and running it monthly. The build depends on the number of flows, connected systems such as booking and CRM, and how much the voice and tone are customised. Monthly running cost depends on call minutes, because every minute passes through speech recognition, the model, voice generation and telephony.

That is why our quote includes a monthly cost estimate based on your actual call volume, not a generic figure. If your volume is very low, we may recommend a WhatsApp agent first because it is cheaper to run, then add voice later on the same knowledge base.

Before launch we agree on clear numbers to track monthly: the share of calls answered compared with before, the share of calls that ended in a booking or logged request without staff involvement, the transfer rate to staff and its reasons, and average call length. These numbers appear on a simple dashboard alongside call transcripts and summaries.

If transfers spike for a particular reason, we know the agent needs extra information or a new flow. If a question keeps coming up without an answer, we add it. With this regular review the agent improves over time instead of staying as delivered.