Where AI chatbots pay off in Telegram
Telegram is where many customers already ask questions, especially in crypto, gaming, e-commerce in emerging markets and communities. An AI assistant that answers in seconds, in the user’s language, from your actual documentation, replaces a queue of repetitive tickets and qualifies leads around the clock. The economics work when the bot resolves 40–70% of conversations without a human, which is typical for support and pre-sales once the knowledge base is in place.
Use cases we build
- Support assistant: answers from help docs, order and account data; escalates with context.
- Sales assistant: qualifies leads, books calls, answers pricing questions, logs to CRM.
- Community concierge: onboarding, rules, FAQ, moderation help in groups.
- Product guide inside a Mini App: recommendations, search, step-by-step help.
- Internal assistant: knowledge base for employees, report generation, approvals.
How we build it
- Scope and data. Which questions to answer, which to refuse, which to escalate. We collect documents, FAQs and product data and set measurable goals (resolution rate, CSAT, response time).
- Retrieval layer. Documents are chunked, embedded and indexed; answers cite sources. Structured data (orders, accounts) is accessed through tools with permission checks.
- Model and prompts. Model choice, system prompts, tone, multilingual behavior. We build an evaluation set of 100+ real questions and test every change against it.
- Guardrails and handover. Topic boundaries, PII rules, abuse handling, operator escalation with summaries.
- Integration. Telegram bot (grammY/aiogram), Mini App widget, CRM or helpdesk, analytics.
- Operations. Dashboards for cost per conversation, deflection rate and unanswered questions that should enter the knowledge base.
Cost control
LLM costs scale with usage. We route simple questions to cheaper models, cache frequent answers, cap tokens per conversation and give you a monthly budget alert. Typical support bots run at $0.02–$0.10 per conversation.
Data and compliance
Data stays in your accounts: model providers with no-training terms, or self-hosted open-weight models for sensitive data. Conversations can be stored in your region (US, EU, UK) to meet GDPR and similar requirements.
Combine with bot development for the full flow, or ask for a scoped estimate through the form.
* All prices and ranges on this page are indicative. The final cost is calculated for each project individually and depends on the complexity of the task, the number of developers and specialists required, and the delivery timeline you set. Use the ranges to understand the typical bracket, not as a fixed offer; the fixed price is confirmed in writing after scoping. Read our pricing terms.