A conversation.
Not another form.
A guided Telegram intake flow for a water-filter service team. Context first, callback second.
“Hello” isn’t enough context for a callback..
Requests arrived in personal chats without the city, equipment or a convenient time. Managers repeated the same questions and conversation history stayed on personal accounts.
A short button-based conversation collects the service, equipment, city and time. The answers become a structured CRM lead assigned to the right manager.
Four small questions.
A much better handoff.
This is a deliberate, rule-based flow — not an AI pretending to be a person. Customers know what is being collected and can choose to speak to the team.
Service
Service
Equipment
Under-sink filter
City
Vinnytsia
Callback
Tomorrow
Try the conversation yourself.
Choose a service, equipment, city and callback time. The result is a local sample lead, not a real request.
Demo environment. All names, figures and actions here are synthetic and local to this page.
A better way
to work.
Complete context before the callback
Shared history instead of private chats
Visible sources and request topics
Anonymized studio case descriptions. Interface previews are reconstructed with synthetic data.
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