7 days to build Telegram customer service system online checklist: Bot, seats, diversion, translation and risk control

In cross-border business, Web3 communities and overseas marketing, Telegram is no longer just an instant messaging tool, but the core position of customer service and user operations. However, building a professional-level Telegram customer service system from scratch is often confusing: how to configure the Bot? How are the seats divided? How to divert conversations? Where should we start with multi-language translation and internal risk control?

This article uses TG-Staff as the operational blueprint and provides a 7-day online check list. Complete one key module every day, and in 7 days your team will have a fully functional customer service system that can handle real traffic.

Day 1: Initialize Telegram Bot and TG-Staff binding

Day One Goal: Get the Bot running and bound to the TG-Staff console.

Obtain Token from BotFather and connect to TG-Staff

1. Search @BotFather in Telegram, send /newbot and follow the prompts to create a new Bot (for example, MySupportBot).
2. After successful creation, BotFather will return an API Token (in the form of 123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11). Do not disclose this Token.
3. Open TG-Staff Console and register an account (free trial for 3 days).
4. Navigate to “Project Management” → “Add Project” on the left side of the console, enter the Bot name and paste the Token. The system will automatically complete the verification.

Edit Bot avatar and welcome message in the console

After binding, you can modify Bot information without jumping to BotFather:

• Avatar: Upload a picture that meets the format and click Save to take effect.
• Name and Description: Direct editing, suitable for different projects (such as customer service Bot, notification Bot).
• Welcome: Configure a simple text reply (such as “Hello, welcome to contact our customer service team, please describe your problem”) in the “Command Process” module to allow users to give feedback on their first interaction.

Day 2: Configure customer service agent and team permissions

The focus of the second day: Let team members log in independently and receive users.

Add agents according to package quota and set role permissions

TG-Staff’s package supports 3/5/20 seat quotas (see the official website package page for details). Steps to add an agent:

1. Enter “Agent Management” → “Add Agent” and enter the member’s Telegram username or email (the other party must have registered TG-Staff).
2. Assign operable items to the agent (for example, only allowed to receive item A, but not allowed to view sessions of item B).
3. Set permissions: whether to allow session transfer, editing user labels, viewing statistics, etc. It is recommended that new members be granted basic permissions first, and then enable advanced operations after becoming familiar with them.

Enable session transfer and collaboration functions

When an agent encounters a problem that cannot be solved, the conversation needs to be transferred to a more senior colleague:

• Click “Transfer” in the session window and select the target agent or project group.
• After transfer, the original agent can view the history in “Assignment Records”.
• Private Notes (Professional version): Agents can add notes that are only visible to themselves within the conversation, record to-do items or user notes, without affecting the conversation seen by the user.

Day 3: Set up session diversion rules and diversion links

The third day is the key to improving efficiency: allowing new sessions to be automatically assigned to appropriate agents and opening up advertising traffic links.

Alternate allocation vs online priority

In the project settings, you can choose between two offloading strategies:

Strategy	How to work	Applicable scenarios
Rolling (default)	Poll all authorized agents in a fixed order, regardless of whether they are online or not	Team agents have fixed seats and want to distribute the workload evenly
Online Priority	Priority will be assigned to the currently online agents; when all are offline, the assignment will be taken in turn	During peak consultation hours, the agent online rate is not fixed

Recommendation: Use Online Priority in the initial stage to ensure that users are not left out, and then switch to rotating allocation after stabilization.

Create a diversion link (Standard Edition and above):

1. Enter the “Diversion Link” module and click “Create Link”.
2. Set the target Bot project and jump parameters (such as utm_source=facebook).
3. The system generates a short link (such as https://app.tg-staff.com/abc123) and embeds this link in creatives or social media posts.
4. After clicking, the user will first jump to the TG-Staff attribution page, and then automatically open the Telegram Bot to achieve seamless traffic from advertisements to agents.

Day 4: Building a visual command flow and automated responses

Day 4: Reduce manual repetitive work: Use a drag-and-drop editor to build a Bot automatic reply process.

Build welcome menu and multi-step interaction with zero code

TG-Staff’s command process editor adopts a visual drag-and-drop design, eliminating the need to write code:

• Start Node: Configure the welcome message (can include a button menu) when the user triggers the Bot for the first time.
• Branch Node: Jump to different replies based on the buttons clicked by the user (such as “Product Consultation” and “After-Sales Questions”).
• End Node: Automatically end the process after replying, or transfer to a manual agent.

Example scenario: The user inputs /start → Bot sends the menu (1. View order 2. Contact customer service 3. Frequently Asked Questions) → The user clicks “Contact Customer Service” → Bot replies “A human is being transferred to you, please wait” → The process ends and the session enters the agent queue.

Day 5: Enable automatic translation and multilingual customer service

Day 5: Solving the language barrier: allowing agents to communicate with users around the world without any barriers.

Configure translation engine and quota management

1. Enter the “Automatic Translation” settings and select the translation engine corresponding to the package (the standard version is AI translation; the professional version additionally supports Google professional translation and DeepL professional translation).
2. Turn on “Automatic translation of incoming messages”: messages sent by users will be automatically translated into the language set by the agent.
3. Turn on “Automatic translation of outgoing messages”: the agent’s reply will be automatically translated back to the user’s language.

Best Practice: Set the agent language (such as Chinese) in the upper right corner of the agent workbench, and the system will automatically handle all translations. Agents do not need to perform manual operations and can focus on solving user problems.

Day 6: Content Risk Control and Wallet Address Monitoring (Professional Edition)

The sixth day is the key to compliance and security: configure internal control mechanisms to prevent agents from accidentally sending sensitive information.

Create risk phrases and associate them with customer service projects

1. Go to “Content Risk Control” → “Risk Phrase” and click “Create Phrase”.
2. Enter the phrase name (such as “Payment Address Blocking”) and add the risk word: it can be a complete address (such as TXYZ...123) or an address fragment (such as `^T[A-Za-z0-9]33Best Practice: Set the agent language (such as Chinese) in the upper right corner of the agent workbench, and the system will automatically handle all translations. Agents do not need to perform manual operations and can focus on solving user problems.

Day 6: Content Risk Control and Wallet Address Monitoring (Professional Edition)

The sixth day is the key to compliance and security: configure internal control mechanisms to prevent agents from accidentally sending sensitive information.

Create risk phrases and associate them with customer service projects

1. Go to “Content Risk Control” → “Risk Phrase” and click “Create Phrase”.
2. Enter the phrase name (such as “Payment Address Blocking”) and add the risk word: it can be a complete address (such as TXYZ...123) or an address fragment (such as matches the TRC20 address pattern).
3. Associate the phrase with the customer service items that need to be monitored.

Monitor agent outbound messages and audit trigger records

After the configuration is complete, when the agent sends a message containing a risk word:

• Pop-up window for secondary confirmation: The agent can choose “Confirm Send” or “Cancel Send”.
• Block Send: If the risk level is high, the system will directly block and record it.
• Audit Records: Agents, sessions, trigger times and specific risk words can be viewed in the “Trigger Records” to facilitate compliance audits.

This feature is crucial for Web3, exchanges, and NFT projects - it can effectively prevent agents from mistakenly sending payment addresses or sensitive links.

Day 7: System testing, user profiling and online inspection

Last day: Full link testing to make sure everything is ready.

Simulate user full process testing

1. Diversion link: Click the diversion link, confirm to jump to the Bot and capture the attribution parameters.
2. Auto reply: Send /start to verify the welcome menu and branch logic.
3. Manual acceptance: Trigger manual transfer and confirm that the session is assigned to an online agent.
4. Translation Test: Send messages in different languages ​​and check whether the translation is accurate.
5. Risk Control Test: The agent sends messages containing risk words to verify pop-up windows and blocking logic.

Check user portraits and statistics

Professional version users can view each user’s tags, historical conversations, source channels and other information in “User Portraits”. After confirming that the data is recorded normally, it can be officially launched.

Final checklist before going live:

• Bot avatar and welcome message have been set
• All agent accounts can log in normally
• Offload strategy configured (online priority or rotating allocation)
• The diversion link has been created and the UTM parameters have been embedded.
• The command process covers at least 80% of common problems
• The automatic translation engine is enabled and the quota is sufficient
• Content risk control phrase has been associated with items
• User portrait and statistical functions are normal

FAQ

Q: Is 7 days enough time to complete all configurations?

Answer: For teams with the Standard Edition package, the core functions (Bot binding, agents, offloading, command flow) can be completed in the first 3 days, and the next 4 days are used for translation, risk control and testing. For the content risk control configuration of the professional version, it is recommended to reserve half a day to familiarize yourself with the risk word grouping logic.

Q: What is the difference between “online priority” and “rotating allocation” of session offloading?

Answer: Online priority will allocate new sessions to currently online agents, which is suitable for peak consulting hours; round-robin allocation will poll all authorized agents in a fixed order, which is suitable for evenly distributing the workload. The two can be switched at any time in the project settings.

Q: Does automatic translation support all Telegram users’ languages?

Answer: The standard version of AI translation covers mainstream languages ​​(Chinese, English, Japanese, Korean, Spanish, French, German, etc.), and the professional version is additionally connected to Google professional translation and DeepL professional translation, and has better support for small languages ​​​​such as the Middle East and Southeast Asia. For the specific support list, please refer to the TG-Staff documentation.

Q: How does wallet address monitoring in content risk control take effect?

Answer: Add a specific wallet address or address fragment (such as a TRC20 address starting with T) in the risk phrase. When the agent sends a message containing this keyword in the conversation, the system will pop up a secondary confirmation window or directly block the sending. This function is suitable for compliance and internal control in Web3, exchanges, NFT and other scenarios.

Q: Will data be lost after the free trial expires?

Answer: After the trial expires, the session records and configurations will be retained for a period of time (the specific duration is subject to the official website instructions), and can be restored after renewal. It is recommended to complete all configuration tests during the trial period before deciding whether to subscribe.

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The above is the complete checklist for building Telegram customer service system in 7 days. Whether you are new to Bot operations or a mature team that needs to go online quickly, this list can help you avoid detours.

Next steps:

• Sign up for a free trial now: https://app.tg-staff.com/
• Check the detailed configuration document: https://docs.tg-staff.com/
• Contact the online customer service Bot for help: @tgstaff_robot