'Maharaja', built on Azure OpenAI, scaled fast across languages, with voice interactions rolling out next.
Air India deployed a generative AI virtual agent called Maharaja, built on Microsoft's Azure OpenAI service. Since its pilot it has answered well over half a million customer queries and handles thousands of questions a day across multiple languages, covering the repetitive, high-volume questions that swamp any airline's support line. The airline has said it is expanding the same approach into AI-driven voice interactions.
One honest detail is worth keeping straight: Maharaja today is largely a text and query agent, with voice rolling out, not yet a full phone agent. It earns a place here anyway, because the direction is unmistakable. Even cautious, heavily regulated enterprises, the kind with the most to lose from a bad customer interaction, are deliberately moving their support line toward AI.
The strengths Air India is chasing, always on, multilingual, never overwhelmed by a surge, are the exact strengths a much smaller business gets from the same category of technology.
Airlines face huge surges of calls around delays and cancellations, which makes an always-on, multilingual agent an obvious fit and explains why aviation is moving quickly despite heavy regulation.
Under the hood, a modern AI voice agent is nothing like the old phone tree. It answers in under a second, understands natural, interrupted, real-world speech instead of "press 1 for sales," and holds a genuine back-and-forth, including the corrections and half-sentences people actually use on the phone.
Mid-conversation it pulls context from your calendar and CRM, checks real availability, and books or reschedules on the spot. It captures the caller's name, number, and reason for calling, hands off to a human only when something genuinely needs one, and the instant the call ends it texts you a summary and logs every detail. That is the same machinery behind every deployment on this page, just pointed at a different script.
Multilingual, around the clock, never tired. Those are the exact strengths a small business gets from an AI receptionist on day one.
A landscaping business serving a mixed neighborhood can answer in English and Spanish, around the clock, the same multilingual, always-on capability Air India is building toward, without an airline's IT department behind it.
There is a second lesson hiding in the rollout. Air India started narrow, proved the agent on text and high-volume queries first, then widened the surface area to voice. That is the right way for any business to adopt this: pick the single most painful, most repetitive call type, get it working, and expand once it is clearly earning its keep.
The difference for a small business is that you build none of it. We do. It starts with a 30-minute intake call where we capture your services, pricing, hours, and the questions your customers ask most. We write the scripts, build and train the agent, connect your calendar and CRM, and test every flow before it touches a live caller. Most agents go live on a dedicated number within five business days, and we keep tuning as your business changes. It plugs into the tools you already use: Google Calendar, Outlook, Calendly, your CRM, and SMS.
Most do not ask. The voice is natural and it answers in under a second. When someone does ask, they rarely mind once the call goes smoothly and they get what they called for. The fastest way to judge it is to call our demo line and hear it yourself.
Usually five business days from your intake call. We build, train, and test it for you, then it goes live on a dedicated number, with no DIY setup on your end.
Google Calendar, Outlook, Calendly, your CRM, and SMS, so it can check availability and book in real time and keep your records current after every call.
The brands above had teams and budgets. You get the same capability, done for you, on your number, in about five days.
Sources: Air India Newsroom
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