Efficient IT Solutions for Business Automation Systems

AI reception - an auto-reply that makes sure no inquiry ever gets lost

We look at a typical implementation scenario – a booking bot that works on the website and on Telegram, takes in inquiries at any time, and gets them to a confirmed booking or a manager hand-off.

Industry Appointment-based services (salons, clinics, workshops, consultations)
Task Take in inquiries around the clock and not lose requests outside business hours
Channels Website, Telegram
Setup time 5-7 business days

What this request usually looks like

A typical situation: a business takes booking requests through the website and Telegram, but handles them manually. In the evenings and on weekends nobody replies, and some inquiries simply get lost because the customer wasn’t willing to wait until morning. There’s a separate problem with the old-style auto-reply: a voicemail saying “leave a message after the tone” or a bot with one fixed line, which can’t do anything beyond taking a message without actually addressing it.

The goal in this scenario is to close both gaps: inquiries not being handled outside business hours, and an auto-reply that feels like a formal brush-off.

What the solution looks like in this scenario

The same scenario is connected on the website and on Telegram: a booking bot replies to the first message right away, clarifies which service is needed and what time works, and either offers open slots immediately or passes the request to a manager for confirmation.

A separate Telegram auto-reply is set up for messages that arrive outside business hours: the bot takes in the inquiry, gives a rough response time, and clarifies the details right at that stage, so in the morning the manager starts not with “hello, what do you need” but with ready-made information.

What this looks like in a conversation

Customer: Good evening, can I book a consultation?
Bot: Good evening! Sure, could you tell me which day works for you?
Customer: I’d like Saturday, if there’s availability
Bot: There are open slots on Saturday at 11:00 and 15:00. Which one works?
Customer: 15:00 is great
Bot: You’re booked for Saturday at 15:00. A manager will reach out in the morning to confirm, if any details need clarifying.

What this scenario delivers

Inquiries don't get lost outside business hours, because the bot always replies, not just when a manager is online

The customer gets a reply right away instead of hours later, which lowers the chance they'll go to a competitor instead

In the morning the manager sees already structured requests with details, not a list of messages that first need decoding

The auto-reply stops feeling like a formal brush-off to the customer, because it holds an actual conversation instead of playing back the same line

If you need a broader scenario

AI reception

A full description of the service for handling requests from the website and messengers, if you need more than booking - the whole inquiry funnel.

AI lead qualification

If, besides booking, you also need to gauge how "warm" a customer is before handing off to a manager.

Why we build this scenario this particular way

IntegraBAS Solution has been on the market since early 2025. We build inquiry-handling and booking scenarios on the same logic we used to apply in accounting and CRM system integrations: it’s not enough to just reply to the customer – the booking information needs to land where it’s convenient for the manager to work with it, whether that’s a CRM, a spreadsheet, or simply a structured message in a work chat.

Every scenario is tested on real phrasing before launch, not on the “perfect” dialogue from a pitch deck – which is why the example above shows an ordinary conversational tone rather than a three-point report.

Questions about this scenario

A classic auto-reply just logs the message and that's it. In this scenario the bot holds a conversation: it clarifies details, offers a booking time, and gets the inquiry to a result, rather than just taking it in.

Yes, the logic is the same across both channels, the only difference is the technical integration with the specific platform.

Yes, this is a standalone scenario that can be launched on its own, and expanded into full AI reception later if needed.

You can start without a CRM - requests will arrive to the manager as a structured message. If a CRM is in place, the data can be sent straight there.

Usually 5 to 7 business days, depending on the number of channels and how complex the questions the bot needs to ask are.
Want a similar scenario for your business?

Tell us how booking requests are currently handled and which channels need to be covered – we’ll work out what can be taken from this scenario as is, and what’s worth adapting to your specifics.




    AI reception – breaking down a typical implementation scenario

    This case covers a common request – a business takes booking requests through the website and Telegram, but outside business hours they simply pile up unanswered. An auto-reply in the traditional sense – a voice recording or a bot with a single line – doesn’t solve the problem, because it doesn’t hold a conversation or help the customer actually book right then and there.

    A booking bot instead of a formal brush-off

    In the scenario we typically build, the booking bot doesn’t just log the inquiry – it carries it through to a result: clarifying the service, offering a convenient time, and confirming the booking, or passing the manager an already complete request with details. This applies to both the website and Telegram – the channel doesn’t matter, what matters is the conversation logic.

    An auto-reply that can do more than take a message

    A separate part of the scenario is the Telegram auto-reply for inquiries that arrive outside business hours. Instead of the standard “we’ll call you back”, the bot immediately clarifies the details of the request, so that by morning the manager has structured information to work with right away, not an anonymous inquiry.

    If your business has a similar situation with booking requests, describe it in the form on this page – we’ll work out what can be taken from the scenario as is, and what needs adapting to your niche.