Telegram Predis.ai Neon Postgres

AI chatbot call center: Telegram call in (production-ready, part 1a)

This production-grade workflow transforms Telegram into a high-performance entry point for AI call centers by intelligently routing both text and voice inputs. It features a sophisticated architecture using Redis caching and PostgreSQL to ensure instant member recognition and seamless multi-language speech transcription. Designed for scale, it provides a robust foundation for building responsive, automated customer support systems.

Run this with your team's AI

What This Recipe Does

Managing high volumes of incoming communications through messaging apps often leads to missed information and fragmented data. The Telegram Call In automation bridges the gap between instant messaging and your core business systems. This solution automatically captures incoming Telegram interactions, extracts relevant data from attachments or messages, and routes them to the appropriate internal workflows. By integrating directly with database systems like Postgres and caching layers like Redis, the automation ensures that every interaction is logged, tracked, and processed without manual data entry. For businesses relying on field agents, remote teams, or customer support via Telegram, this tool transforms a simple chat app into a robust intake engine. It eliminates the need for staff to manually copy information from chats into CRMs or project management tools. Instead, data flows seamlessly from the user's phone directly into your business logic, increasing response speed and ensuring data integrity across your entire organization. This automation allows you to scale your communication capabilities without increasing your administrative overhead.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

Telegram, Predis.ai, Neon Postgres connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect Telegram and Predis.ai once, in your team cloud, and nobody has to do it again on their own machine

  2. 2

    Tell your own agent what is different about your process

    Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work

  3. 3

    Run it, then leave it running

    It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it

Who Uses This

Frequently Asked Questions

Do I need a specific type of Telegram account to use this?

You only need a standard Telegram Bot token, which can be generated for free through the Telegram BotFather interface.

How can I customize the actions taken after a message is received?

The workflow is built with modular logic, allowing you to connect the incoming data to any other business application or internal notification system supported by n8n.

Where is the interaction data stored?

The system is designed to route data directly to your own Postgres database and uses Redis for state management, ensuring you maintain full ownership of your communication history.

Can this automation handle photos or documents sent through the chat?

Yes, the automation includes file extraction components that identify and process various attachments, making them available for storage or further analysis.

Coming from n8n?

This recipe uses nodes like TelegramTrigger, Langchain.chatTrigger, Set, Switch and 8 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.

TelegramTrigger Langchain.chatTrigger Set Switch Telegram ExtractFromFile StickyNote If Code Redis Postgres ExecuteWorkflow

Based on n8n community workflow. View original

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Run this with the AI your team already uses

Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.

Open this recipe in Runwork