Telegram bot development and automation

CRM and Backend Integration

A CRM-connected bot turns a conversation into a structured request and can return its status.

Tell me the goal, stack constraints, and timeline — I reply on Telegram.

A CRM-connected bot turns a conversation into a structured request and can return its status. I connect Telegram, MAX, or VK to CRM and backend APIs without creating a second manual tracking sheet.

Scope defines user-to-contact mapping, lead creation, field ownership, webhooks, transformation, token protection, idempotency, and logs. Full CRM implementation, telephony, or pipeline migration is separate. Acceptance prevents duplicate deals, resolves contacts by agreed identifiers, limits status updates to authorised users, and leaves CRM failures visible to operators.

FAQ

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How do you prevent duplicate leads?

Use the dialogue external ID plus agreed phone or email matching. Ambiguous matches should go to a manager.

Can a bot read any CRM data?

No. It receives minimum fields, and the user-to-contact relationship is checked before every private response.

Selected portfolio work

cursor-telegram-integration

Integration tooling between Cursor IDE workflows and Telegram notifications or commands. TypeScript Node services for lightweight automation around dev events.

thinklens-bot

Telegram assistant bot using OpenAI APIs for reflective prompts and summarization. Python orchestration with conversation memory controls.

med-tracker-bot

Telegram bot for medication reminders and simple adherence tracking. Async Python with clear state handling and privacy-conscious logging defaults.

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Tell me the goal, stack constraints, and timeline — I reply on Telegram.

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