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AIReal estate

Active Group Realty

We developed an intelligent Telegram assistant for Active Group Realty. It helps users navigate rental, purchase, sale and property-investment questions before a specialist joins the conversation.

SolutionIntelligent assistant
Publication statusPublished project
Active Group Realty — thematic project illustration
What we built

We developed an intelligent Telegram assistant for Active Group Realty. It helps users navigate rental, purchase, sale and property-investment questions before a specialist joins the conversation.

01

Client task and starting point

The company needed one clear first-contact channel for several types of real-estate enquiries.

The assistant had to take the user from a broad question to relevant information about a property, the market, documents or taxes.

02

What was implemented

The assistant supports free-form questions and structured service paths for residential and investment property enquiries.

  • Rental scenarios covering search, letting and indicative rental-rate questions.
  • Purchase and sale consultation flows.
  • Answers that take the city, budget and user objective into account.
  • Guidance on investment property and units intended for rental.
  • Reference information on market data, documents and tax questions.
  • Initial enquiry assessment and navigation to the relevant service area.
03

How the solution works

  1. 01

    Client question

    The user describes the property task and provides the available context.

  2. 02

    Intent and context

    The assistant identifies the relevant service path and prepares an answer based on the request.

  3. 03

    Answer and next step

    The client receives useful orientation and can continue the conversation with a specialist.

04

Technical logic and integrations

Confirmed format: a Telegram bot with intelligent consultation scenarios for real estate and investment topics.

TelegramAIReal-estate consultation
05

Business value

The project gives clients a fast first response and structures the request before it reaches the company team.

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