Your customers are already in Telegram. A free bot they built themselves in an afternoon can answer three FAQs and then falls apart — no lead routing, no CRM, no way for a real person to step in when it matters. We build the business-grade version: the same qualification-and-handoff engine that runs our website chatbots, deployed where your customer already is.
15 years. 100+ projects. The same engine, now in Telegram.
A self-made Telegram bot can answer canned questions. It can't qualify a lead, route it to your CRM, notify your sales team, or hand a live conversation to a human without losing the thread. That gap is the whole difference between a hobby project and a business asset: CRM integration, qualified-lead capture with instant team notification, and a live-operator handoff that happens inside Telegram, not a link out to somewhere else.
The bot speaks Telegram's native language: inline buttons, product or answer cards, free-text natural-language search, and /-commands your customers already expect. A visitor describes what they want or taps through a guided flow — either path ends the same way: a qualified lead, fully attributed, pushed straight into your CRM with an instant notification to your team's Telegram group.
When a conversation needs a human, your operator connects from inside Telegram with a single command — the bot steps back, the operator takes over, and the customer never has to leave the chat or repeat themselves. That handoff, native to the channel, is the genuine Telegram differentiator over a website widget.
Two working Telegram bots, open right now:
Royal Finance — @RoyalFinanceAiBot. A hybrid chatbot qualifying clients across 30+ credit products from 14 partners. Note: RF's published numbers (60–70% operator-load reduction, 85% of interactions handled without a language model) describe the whole RF hybrid deployment, not the Telegram channel specifically — Telegram is one of its access points.
Shoe IT — @shoe_it_ai_bot. A retail product-finder bot: natural-language search, live pricing, one-tap lead capture, for a premium Italian footwear store. It just launched — no published metrics yet, same honest position as any new deployment. This is a working system you can verify yourself.
A note on language: both bots reply in Russian — they're deployments for Russian-market clients. We build Telegram bots in whatever language your customers speak, English included; these two simply aren't English demos. Open them to see the engine running in production — the flow itself (natural-language request → card → price → lead) is legible regardless of the language it's answering in.
A free or DIY bot can answer a handful of canned questions. A business-grade bot qualifies the visitor, captures a CRM-ready lead with instant team notification, and lets a live operator take over the conversation without the customer leaving Telegram. That's the whole gap between a toy and a sales/support channel.
Yes, if it has an API. We've connected chatbots to Bitrix24, amoCRM, and custom CRM stacks. Tell us your stack during the free consultation and we'll confirm the integration path.
From inside Telegram — the operator connects to a live dialog with a single command, replies reach the customer directly, and the bot steps back until the operator releases the conversation. No separate console required for the Telegram channel.
Straight to your sales team's Telegram group, the moment a lead is captured — not a dashboard you have to remember to check.
$3,000–$20,000+ per project, following our standard chatbot tiers — see the full pricing table on the chatbot service page. 4–8 weeks to an MVP with core flows, product/answer logic, and CRM integration.
A Telegram business chatbot follows our standard chatbot pricing — reference the AI chatbot development pricing table for the full tier breakdown:
$3,000–$20,000+ per project, maintenance 20–30% of build cost/year.
Every project starts with a free consultation and a fixed estimate — no commitment.