Use case

A multichannel AI bot that answers booking and hiring questions

An assistant that answers common booking and hiring questions on the channels people already use, hands off cleanly to a human when it should, and keeps sensitive details private by design.

Booking and hiring questions rarely arrive one at a time through one door: they come in on WhatsApp, on Telegram, by phone, by walk-in, often the same handful of questions over and over. Someone on your team ends up answering the same thing all day on top of the work only they can do, and miss a message for a few hours and the person often just books, or applies, somewhere else.

What you get.

  • People get an answer the moment they ask, on whatever channel they use, day or night.
  • Someone who wrote on WhatsApp is recognized on Telegram, never asked to repeat themselves, so it feels personal.
  • Every location gives the same correct, on-brand answer, without training each one separately.
  • Your team only steps in for the questions that truly need a person, so those get real attention.

How it works.

We build an assistant that sits on the channels people already message you on and answers the common questions itself, in your own words, without making anyone wait for a reply. It knows the difference between a question it can answer safely and one that needs a person: pricing disputes, anything involving personal or medical detail, an angry customer, a genuinely unusual request. Those get handed to a real person cleanly, with the context already gathered, instead of the bot guessing or the customer having to repeat themselves.

Because hiring and booking conversations often touch personal information, we build privacy filtering in from the start, so sensitive details are handled the way European data rules require rather than bolted on afterward. The same setup works across multiple locations or branches from one place, so adding a new location does not mean building the assistant again from scratch.

We start by going through the real conversations your team has today, the questions that come up again and again and the ones that always need a human. We use those to shape what the assistant can answer on its own and where the line for handing off sits, and we test it against real questions before it ever talks to a customer. Once it is live, you get visibility into what it is answering and what it is passing on, so you can adjust the line together with us rather than guessing at what it is doing behind the scenes.

Proof this works.

We built a multichannel assistant for a multi-location services business that answers hiring and booking questions on WhatsApp and Telegram. In testing it handled 89.7% of questions on its own and escalated the rest to a human correctly every time, with strict privacy filtering built in to meet European data rules.

89.7% of questions handled automatically

Ready to build this?

Tell us what you need automated. We scope it, fix the price, and build it on your infrastructure.