Telegram Bot Seat-Based Customer Service Tutorial: The Complete Hub Guide from Configuration and Routing to Internal Compliance Management

When your Telegram community or Bot grows to tens or even hundreds of inquiries per day, relying on a single phone or computer’s Telegram client to reply to messages quickly leads to chaos: missed messages, multiple members replying to the same user, and confusing permissions with no traceability. This is why a “seat-based customer service” system is essential—it allows your support team to manage multiple conversations simultaneously from a unified web console with independent accounts, enabling routing, collaboration, and compliance management.

This tutorial will guide you from scratch to build a complete Telegram Bot seat-based customer service system using the TG-Staff platform. It covers agent configuration, conversation routing, traffic attribution, visual workflows, content moderation, and common troubleshooting. You can use this article as a hub, linking to detailed guides for each subtopic.

What is Telegram Bot Seat-Based Customer Service? Why Do You Need a Unified Management Platform?

Seat-based customer service means multiple customer service agents (seats) log into the same management backend via a web interface. Each agent has an independent account and permissions, and can simultaneously handle different user conversations from a Telegram Bot. Compared to traditional approaches (multiple people sharing the same Telegram account or relying on the Bot’s native message forwarding), seat-based customer service solves three core pain points:

• Missed orders and duplicate replies: When multiple people share an account, who replied to which message relies solely on human memory, making it easy to miss messages or have two agents reply to the same user simultaneously. The session assignment mechanism of seat-based customer service ensures each message is assigned to only one agent.
• Permission chaos: Temporary or part-time agents need access to the Bot Token or core account, posing security risks. Seat-based customer service supports project-level permission isolation, allowing you to restrict agents to only view and reply to sessions of specific projects.
• Data and efficiency black hole: Without session records, user profiles, translation, bulk messaging, and other tools, operational decisions rely on intuition. A unified console provides complete user profiles, statistics, and automation capabilities.

TG-Staff is precisely such a SaaS platform for Telegram Bot customer service and operations. It connects Telegram Bots with human agents through a web console, offering real-time two-way chat, session distribution, visual command flows, automatic translation, content moderation, and more, helping teams manage all Bot customer service work in one place.

If you are not yet familiar with the basic concepts of TG-Staff, you can read the official documentation for an overview. This tutorial will serve as a hub, linking to more detailed subtopics.

Step 1: Configure Your Customer Service Seats and Project Permissions

Before you start handling user conversations, you need to complete three basic settings: create a project, bind a Bot, and assign seats.

Add a Bot and Bind the Telegram Token

1. Log in to the TG-Staff Console.
2. In the left menu, click “Projects” → “Create Project”, enter a project name (e.g., “Official Website Support” or “Community Support”).
3. Go to the project details page, click “Add Bot”, and enter your Bot Token. To obtain the Token: open @BotFather in Telegram, send /mybots, select your Bot, go to the “API Token” page, and copy it.
4. After successful binding, the system will automatically set a webhook in the Bot to forward user messages to the TG-Staff platform.

Note: A project can bind multiple Bots, but each Bot can only be bound to one project. If your team manages multiple Bots for different businesses, it is recommended to create a separate project for each Bot for easier permission isolation.

Assign Seat Roles to Team Members

1. In the left menu of the console, click “Seat Management” → “Add Seat”.
2. Enter the seat’s name and login email (this email will receive a login invitation).
3. Set the projects the seat can access. You can check “All Projects” or “Specific Projects” to restrict the seat to only see sessions they are responsible for.
4. Set operation permissions: including “Read Only” (can only view session records, cannot reply), “Can Reply” (can reply to messages), “Can Transfer” (can transfer sessions to other seats), etc.

Best Practice: For newly added seats, it is recommended to set them to “Read Only” permission first, let them familiarize themselves with the session flow, and then grant reply permissions later. For sensitive projects (such as those involving payments or customer service), only core members should be given “Can Transfer” permission.

For more details about agent configuration (such as agent quota, collaboration notes, and conversation transfer), please refer to our subtopic article Agent Configuration and Permission Management.

Step 2: Implement Intelligent Conversation Distribution to Eliminate Missed Chats and Queuing

When multiple users initiate consultations simultaneously, the system needs to automatically assign conversations to the appropriate agents. TG-Staff offers two distribution rules that you can select as needed in the project settings.

Round-Robin vs. Online-First: When to Use Which?

Mode	How It Works	Suitable Scenarios
Round-Robin (Default)	Assigns new conversations to authorized agents in sequence, regardless of whether the agent is currently online. After a full round, it restarts the cycle.	Teams with a fixed number of agents and stable schedules; all customer service agents are full-time online.
Online-First	Prioritizes assigning conversations to agents who are currently online and authorized. If all online agents are busy, new conversations enter a waiting queue. Falls back to round-robin when all agents are offline.	Teams with flexible schedules or across time zones; part-time agents or those with irregular working hours.

Configuration Steps:

1. Go to Project Settings → “Conversation Distribution”.
2. Select “Round-Robin” or “Online-First”.
3. Set the project’s agent scope: choose “All Agents” or “Specific Agents” (if you want only some agents to receive conversations for this project).

For a detailed comparison and configuration screenshots of distribution rules, please read the subtopic Conversation Distribution: Practical Choices between Round-Robin and Online-First.

Diversion Link: Attribution Chain from Ad Click to Human Handling

A Diversion Link is an official short URL provided by TG-Staff (e.g., https://app.tg-staff.com/{code}). When a user clicks this link, the system will:

1. Capture the visitor’s IP address, browser information, and URL parameters (e.g., utm_source=google&campaign=spring_sale).
2. Automatically redirect to your Telegram Bot and trigger a preset welcome message or auto-reply.
3. If the conversation later escalates to a human agent, the user’s attribution data will be retained in the user profile.

Use Cases:

• Place diversion links in ads on Google Ads, Facebook, Twitter, etc., to track which channel generates more inquiries.
• Place diversion links on your official website or landing pages to differentiate conversion effects across pages.
• Combine with conversation distribution to achieve a complete chain: ad traffic → Bot auto-reply → human agent handling.

Note: The diversion link is a standard feature for the Standard plan and above, with no additional charge. You can generate and manage your short links in the “Diversion Links” module of the console.

For details on configuring diversion link URL parameters and viewing attribution data, refer to the subtopic Traffic Diversion: Complete Chain of Ad Attribution and Human Handling.

Step 3: Boost Operational Efficiency with Visual Command Flows and Bulk Broadcasting

When users enter the Bot via a diversion link, they first trigger an auto-reply flow. TG-Staff provides a drag-and-drop flow editor that lets you build without coding:

• Welcome Message: The first message users see upon entering the Bot.
• Menu: Multi-level menus for self-service queries (e.g., order lookup, balance inquiry).
• Multi-step Interactions: e.g., User inputs “Check order” → System asks for order number → Returns order status.

Steps:

1. Go to Project → “Flow Editor”.
2. Drag a “Start” node from the left panel onto the canvas.
3. Drag a “Send Message” node and enter the welcome message or menu buttons.
4. Drag a “Condition” node to branch based on user input.
5. Connect nodes, save, and publish.

Bulk Broadcasting is suitable for marketing: send bulk messages to user segments (e.g., by language, activity level, or user tags) for promotions, notifications, or surveys. You can create tasks in the “Broadcast” module, select segmentation criteria, edit message content, and set send times.

For more examples of visual flows and bulk broadcasting, read the subtopic Build Bot Interactions Without Code: Visual Flow Editor Guide.

Step 4: Content Risk Control and Compliance (Pro Edition Core Feature)

For medium-to-large teams, especially in sensitive fields like finance, cryptocurrency, or legal consulting, content risk control is essential. TG-Staff Pro Edition provides an internal control management module to help teams prevent agents from sending erroneous or non-compliant messages.

Configuring Risk Phrases and Trigger Actions

1. In the console, navigate to “Internal Control” → “Risk Phrases”.
2. Click “Create Risk Phrase”, enter a name (e.g., “Wallet Address” or “Sensitive Word”).
3. Add keywords: supports full words, address fragments, and regular expressions. For example, to monitor TRC20 addresses, you can enter address fragments starting with T or a full TXYZ123... address.
4. Associate projects: select the projects where this risk phrase applies (one phrase can be associated with multiple projects).
5. Set trigger actions:
   • Popup Confirmation: When an agent sends a message containing a risk word, a confirmation dialog appears, requiring the agent to manually confirm before sending.
   • Block Sending: The system directly blocks the message and logs it in the audit log.
6. After saving, the system automatically monitors all outbound messages from agents.

Practical Application of Wallet Address Monitoring in Customer Service

For example, in a cryptocurrency exchange or NFT project: customer service agents may need to paste a payment address for refunds or deposits during chats. However, manual operations are error-prone—agents might paste the wrong address or a personal address instead of the project’s address. By configuring wallet address monitoring:

• You can whitelist the project’s official payment address fragments (e.g., TXYZ123) to allow agents to send them.
• Set all non-whitelisted TRC20/ERC20 address fragments as risk phrases, triggering confirmation or blocking.
• Review each trigger event in audit logs, including: which agent, which conversation, which risk phrase, and the exact time.

For more information on content moderation configuration and auditing, please refer to the subtopic Professional Internal Control Management: Risk Word and Wallet Address Monitoring.

Common Troubleshooting: Agents Cannot Log In, Routing Not Working, Insufficient Translation Quota?

Below are frequently asked questions and solutions:

1. Agent cannot log in to the console

   • Check if the confirmation link in the invitation email has been clicked. If the email was not received, ask the project admin to resend the invitation in “Agent Management.”
   • Confirm that the agent’s account status is “Activated.” If it is “Disabled,” an admin must manually enable it.
   • Verify the email address is correct, paying attention to case and spelling.

2. Routing rules not working, all conversations assigned to one person

   • Ensure that under “Project Settings” > “Customer Service Scope,” you have selected “Assigned Agents.” If only one agent is specified, all conversations will go to that person.
   • Check the routing mode: If “Round Robin” is selected, confirm all agents have “Can Reply” permission for the project.
   • If “Online First” is selected, verify that other agents are currently online. If all are offline, it falls back to round robin.

3. Translation quota insufficient or not working

   • During the free trial, translation has a daily quota (Standard Edition includes AI translation; Professional Edition additionally supports Google/DeepL professional translation). If the quota runs out, translation automatically pauses and resumes the next day.
   • Check your plan details: The Standard Edition has limited translation quota, while Professional Edition offers unlimited translation (see the official pricing page). If your translation needs are high, consider upgrading to Professional.
   • Make sure the translation toggle is enabled in the conversation window (the translation icon next to the message input box).

4. Routing link redirects but does not connect to a human agent

   • Check if the bot’s auto-reply flow includes a “Transfer to Human” node. Routing links only direct users to the bot, not automatically to an agent. You need to add a “Transfer to Human” node in the flow editor or configure conversation routing rules so that users trigger human agent assignment after entering the bot.
   • Confirm that the project has “Human Agent” mode enabled (enabled by default).

If the above methods do not resolve the issue, you can contact the official customer service bot @tgstaff_robot for real-time support.

How to Choose a Plan for Your Team? Start with a Free Trial

TG-Staff offers three plans (pricing details on the official pricing page):

Feature	Standard	Professional
Agent Seats	3	5 (upgradable to 20)
Routing Links	✅	✅
Conversation Routing	✅	✅
Visual Flow	✅	✅
Auto Translation	AI Translation (limited quota)	AI Translation + Google/DeepL Professional Translation (unlimited quota)
Content Moderation	❌	✅ (Risk words, wallet address monitoring)
User Profiles & Analytics	Basic	Full
Bulk Broadcast	Limited	Unlimited
Chat Background	Solid Color	TG Theme (Light/Dark)

Recommended Scenarios:

• Small teams (1–3 agents): Choose Standard Edition (approx. $8.99/month) for basic routing, translation, and flow editing needs.
• Medium to large teams (5+ agents): Choose Professional Edition (approx. $16.99/month) for internal control management, unlimited translation, and detailed user profiles.
• Web3/Cryptocurrency/Compliance-focused teams: Regardless of team size, it is recommended to directly choose Professional Edition, as content moderation (wallet address monitoring) is a compliance necessity.

All plans support a 3-day free trial without requiring a credit card. You can register for a trial, run through a complete customer service flow, and then decide on an upgrade plan.

FAQ

Q: How many concurrent agents does TG-Staff support?

A: The Standard plan supports 3 agents, the Professional plan supports 5 agents, and a 20-agent plan is available for higher needs. All agents can handle different conversations simultaneously, with support for conversation transfer and collaboration.

Q: Do I need to pay extra for Diversion Links?

A: Diversion Links are a standard feature in the Standard plan and above, with no additional cost. You can generate custom short links in the console and configure URL parameters for ad attribution.

Q: How do I configure wallet address monitoring in content moderation?

A: In the Professional plan’s console, go to the “Internal Controls” module. When creating a risk phrase, select the “Wallet Address” type, enter the TRC20/ERC20/BTC address or address fragment to monitor, and link it to a project. The system will automatically detect agent outbound messages and trigger a second confirmation or block sending.

Q: Can I temporarily increase agent quota if it’s insufficient?

A: Currently, plans provide a fixed agent quota and cannot be temporarily increased by the day. We recommend evaluating your team’s daily agent needs and choosing an appropriate plan, or contacting customer service @tgstaff_robot for enterprise custom solutions.

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

A: After the free trial expires, your projects, configurations, and conversation records will be retained for a period (see console prompts). Data will not be lost; you can resume use after renewal. We recommend upgrading before expiration to avoid service interruption.

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Act Now: Register for a free trial to experience the full Telegram Bot agent customer service workflow. For detailed configuration guides, please refer to the official documentation. For any questions, feel free to contact our customer service Bot @tgstaff_robot for real-time assistance.