

Have you ever noticed how many little annoyances there are in Telegram—answering the same question over and over again, sending out product spreadsheets, copying and pasting links? They take a lot more time than you think. After doing the same action hundreds of times during the course of a day, it equals weeks' worth of time wasted on repetitive tasks. While other companies, who have been through multiple technology changes, have been able to quickly use and process their incoming leads in a matter of seconds; you continue to manually type your responses.
"Within three weeks, we were able to automate approximately 80% of our daily tasks in Telegram—without programmers. We simply combined readily available artificial intelligence (AI) solutions with various workflow tools and created our own setup using common knowledge. Now we have five people performing the work that was performed by fifteen previously. We have saved $300,000 annually on employee salaries alone."
A Quick Reference Guide on how to transition to Telegram chat automation. Telegram chat automation is a technology that takes over the repetitive functions of your business, such as sending messages, collecting leads and managing mailings, thereby eliminating the need for humans to do these same tasks manually. Automate the rules you have put in place, and automate the functionality to run itself!

Companies using AI Chat Bots are seeing an average 67% increase in lead conversions due to their ability to respond instantaneously to consumers. In an e Commerce setting Chat Bots are responding to over 85% of standard questions with no human intervention.
Automation can work for everyone from eCommerce retailers to B2B businesses. The time it requires for implementation of this type of solution varies from several days for basic simple implementations to as much as three weeks for more complex implementations, including multi-tiered implementations including the use of AI and integrations to other systems.
Automation methods include:
1. Telegram Bots
These are applications built on the Telegram Bot API. You develop a bot, link the bot to a channel or group and the bot performs actions based on user commands/messages.
2. GPT-based AI Chatbots
These chatbots use large language models like GPT-4 or Claude. Based on the conversational context and history of the messages exchanged, these chatbots can create meaningful responses to questions posed to them.
3. Workflow Platforms (n8n, Zapier, Make)
These are event workflows that exist without the use of coding. An example of this would be leads submitted by users through Telegram get pushed automatically into a CRM, manager are alerted of the new leads, and the customer receives a reminder in 2 hours.
In general, you would use a multi-channel approach to accomplish this. For example, you might use a Telegram bot to automate easy responses, an AI chatbot based on GPT for response to more complex situations, and then connect those together with an integrated workflow.
What to choose?
To build your own Telegram bot is relatively simple and does not require you to have programming skills. The following is an outline of how you can build your own Telegram bot:
Your token is similar to a password. Therefore, use either a password manager or an environment variable to store your token as it should not be publicly exposed.
To make it easier for users to find their way around the bot, create custom commands within BotFather.
If you are using no-code platforms like ASCN.AI or n8n, make sure you paste the token you received in the previous step into the settings for the connection you plan to use ie Webhook or Polling.
To test your Telegram bot, send it a message using the command /start and make sure the bot replies back to you.
/newbot to the BotFather.An example of this process is a beauty store that was able to launch a new bot in 40 minutes that allows users to browse their /catalog and place /order through the bot. During the first week, the site received a total of 230 inquiries and the conversion rate was 34%, which was an increase of 18% from the site form.
There are several methods of integrating the Telegram Bot API with users:
When an event occurs that triggers an automated action:
There are also several limitations the bot has when using the API:
The API can be used in conjunction with other services (CRMs, Google Sheets, Payment Gateways) through HTTPS requests. For example, by using n8n with Telegram, leads can be automatically entered into a CRM to reduce lost customers and increase operational efficiency.
AI-powered chatbots, like those based on GPT-4 and similar technologies, are able to analyze the meaning of a user's message, remember what has been said in the past, and respond appropriately. Unlike bots that use only scripted responses to answer user inquiries, AI-powered chatbots can understand natural language and respond to any situation in a flexible manner. AI understands vague requests and is capable of keeping track of the context from previous conversations, automatically qualifying leads and assisting with sales.
However, there are some limitations. For starters, there is a cost associated with each request to GPT ranging anywhere from $0.002 to $0.03 depending upon the load. The quality of the output will also depend upon how clearly the input (prompt) has been written. GPT does not have the ability to change or influence the amount of leads processed or the speed at which leads are processed and therefore must be integrated with an existing workflow.
For instance, an education platform processed a total of 4,800 different conversation logs with users within 3 months of launching a GPT bot; and this equated to 15% more conversions than their online form.
Connection Methods:
Another method would be to optimize your prompts based upon business objectives. Instead of saying "Answer questions," you would say "You are a store manager. Please respond to the customer as politely as possible, clarify information if necessary, and loop in a human manager if required."
To improve your mailing results, keep under the threshold of 30 messages per second, and segment messages by audience so that the recipient receives a more relevant message. An exemplary case of this is a Telegram mailing for online courses. These mailings resulted in a 72% open-rate and a 19% increase in sales.
To avoid being banned for spam:
With ASCN.AI, you can build a three-stage process of operation such as following: New Message Trigger, In-process through AI Agent, Responding to Telegram. There is also a condition of escalating the issue to a human operator if AI is uncertain about the answer. In this manner, you're able to reduce your Support Load by 60%-70%.
In Crypto Consulting, ASCN.AI has automated all 2,100 dialogues, and of those 340 were considered "difficult" cases, which saved over 80 hours/month.
A single bot here replaces 3 employees and saves 150,000 rubles or $5,000/mo. For upkeep, anticipate spending anywhere from $50-$150/mo.
These 70%–80% of requests cover typical customer support topics (status update, return, and hours of operation). Questions that are complicated require a response from a human operator.
An online shop for electronics had to cut back the number of operator-staff (from 4 to 2). The time it took for customers to be waited on dropped from 15 minutes to 3 minutes - a great improvement in relation to customer service.
Sales Funnel: Through advertising to purchase - done directly in telegram.
Customer Reactivation: Personalized offers and dynamic discounts based on customer classification. The bot can also manage objections, issue discounts, and suggest relevant products.
Yes — but only if a client starts the dialogue and messages the bot first. A bot cannot reach-out with any type of offer on a self-initiated basis (per the telegram policy) to prevent unwanted spam. When using a bot in a group - due to privacy mode being set on the Bot, the Bot is unable to see any messages in a group except those sent as a reply to the bot.
No — if you are using no-code platforms such as (ASCN.AI, n8n, Zapier) you can set-up very basic scenarios in approximately 15-30 mins. Programming will only be needed for any custom-built, high-load projects or complex integrations.
No-Code Platforms:
Custom Development:
It is recommended to start no-code and convert to custom if needed. Just ensure you evaluate prior to starting: message volume, scenario complexity, type(s) of integrations, and budget.
Companies that take action on automation sooner, will have a competitive advantage for a minimum of 2-3 years.
Information provided is solely for general guidance and does not offer, equate to or replace any investment, legal, or security advice made by you. Know that the use of AI assistants, or using applicable services require educated guidance & an understanding of the functions of various platforms.