> ## Documentation Index
> Fetch the complete documentation index at: https://docs.chatbotplatform.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Customer Support Bots

> Build AI-powered support chatbots

Use Chatbot Platform to create AI-powered support bots that handle common customer inquiries, provide instant responses, and seamlessly integrate with your existing support channels.

## Why Use AI for Support?

<CardGroup cols={2}>
  <Card title="24/7 Availability" icon="clock">
    Respond to customers instantly, any time of day
  </Card>

  <Card title="Handle Volume" icon="chart-line">
    Scale support without hiring more agents
  </Card>

  <Card title="Instant Responses" icon="bolt">
    No wait times for common questions
  </Card>

  <Card title="Multi-Channel" icon="grid">
    Support customers on their preferred platform
  </Card>
</CardGroup>

## Use Cases

### FAQ Automation

Handle frequently asked questions automatically:

**Common Questions**:

* "What are your business hours?"
* "How do I reset my password?"
* "What's your return policy?"
* "How do I track my order?"

**Implementation**:

* Train AI on your knowledge base
* Configure quick response times
* Escalate complex issues to humans

### Ticket Triage

Automatically categorize and route support tickets:

**Process**:

1. Customer describes issue
2. Bot asks clarifying questions
3. Bot categorizes problem (billing, technical, shipping)
4. Routes to appropriate team
5. Creates ticket with context

### Order Status

Let customers check order status via chat:

**Capabilities**:

* Look up orders by number or email
* Provide shipping status
* Estimate delivery dates
* Handle common order issues

**Integration**:

* Connect bot to your order API
* Use custom integration with order database
* Real-time status updates

### Account Management

Help customers manage their accounts:

**Features**:

* Password resets
* Update contact information
* Manage subscriptions
* View billing history

**Security**:

* Verify identity before sensitive actions
* Use secure authentication
* Log all account changes

## Architecture

### Multi-Channel Support

Deploy the same bot across all your support channels:

```
Single Support Bot
  ├─ Telegram Channel (for mobile users)
  ├─ Slack Channel (for team workspace)
  ├─ Discord Channel (for community)
  └─ WhatsApp Channel (for personal support)
```

All channels use the same AI integration and maintain separate conversation contexts.

### Knowledge Base Integration

Connect your bot to your knowledge base:

**Option 1: Custom Integration**

```javascript theme={null}
// Your integration endpoint
app.post('/support-bot', async (req, res) => {
  const { messages } = req.body;
  const userQuestion = messages[messages.length - 1].content;

  // Search knowledge base
  const kbResults = await searchKnowledgeBase(userQuestion);

  // Send to AI with context
  const aiResponse = await callOpenAI({
    messages: messages,
    context: kbResults
  });

  res.json({ content: aiResponse });
});
```

**Option 2: RAG (Retrieval Augmented Generation)**
Use vector database for semantic search:

1. Embed your documentation
2. Search for relevant articles
3. Include in AI context
4. Generate contextual response

### Human Handoff

Escalate to human agents when needed:

**Triggers**:

* Customer requests human agent
* Bot confidence is low
* Complex or sensitive issue
* After N failed attempts

**Implementation**:

```
Bot detects escalation needed
  → Creates ticket in helpdesk system
  → Transfers conversation context
  → Notifies available agent
  → Provides smooth handoff
```

## Configuration

### Bot Settings

**Typing Indicators**: Enable for natural feel
**Message Detection**: Thread-based for Slack, user-based for groups
**Context Window**: 10-15 messages for full conversation context

### Integration Setup

**System Prompt**:

```
You are a customer support assistant for [Company Name].

Your role is to:
- Answer customer questions accurately and politely
- Provide information from the knowledge base
- Escalate complex issues to human agents
- Keep responses concise and helpful

Guidelines:
- Always greet customers warmly
- Ask clarifying questions when needed
- If you don't know, admit it and offer to escalate
- Never make up information
- Maintain professional tone

Escalation triggers:
- Customer asks to speak with human
- Issue involves refunds or billing disputes
- You cannot find the answer after 2 attempts
```

**Response Format**:

```
Short, clear answers
Use bullet points for lists
Include relevant links
End with "Is there anything else I can help with?"
```

### A/B Testing

Test different AI models for support quality:

```
GPT-4: Weight 70 (primary)
Claude 3.5: Weight 30 (testing)
```

## Review Conversations

Regularly review bot conversations:

<Steps>
  <Step title="Sample Conversations">
    Review 10-20 random conversations weekly.
  </Step>

  <Step title="Identify Issues">
    Look for:

    * Incorrect answers
    * Confused customers
    * Unnecessary escalations
    * Missed opportunities
  </Step>

  <Step title="Improve Prompts">
    Update system prompt based on findings.
  </Step>

  <Step title="Update Knowledge Base">
    Add new information for common questions.
  </Step>
</Steps>

## Best Practices

<CardGroup cols={2}>
  <Card title="Set Expectations" icon="info">
    Tell customers they're chatting with AI
  </Card>

  <Card title="Easy Escalation" icon="hand">
    Make it simple to reach humans
  </Card>

  <Card title="Keep Learning" icon="graduation-cap">
    Continuously improve from conversations
  </Card>

  <Card title="Measure Impact" icon="chart-line">
    Track metrics and ROI
  </Card>
</CardGroup>

### System Prompt Tips

**Clear Identity**:

```
You are an AI assistant, not a human agent. If customers ask,
explain that you're an AI but can help with many common issues.
```

**Boundaries**:

```
You cannot:
- Process refunds (escalate to billing team)
- Make account changes without verification
- Provide legal or medical advice
```

**Tone Guidelines**:

```
- Professional but friendly
- Empathetic to customer frustration
- Clear and concise
- Use customer's name when known
```

## Examples

### Simple FAQ Bot

```
Bot: "Hi! I'm here to help. What can I assist you with today?"

User: "What are your shipping costs?"

Bot: "Our shipping costs depend on your location and order size:

• Orders over $50: Free standard shipping (5-7 days)
• Orders under $50: $5.99 standard shipping
• Express shipping: $14.99 (2-3 days)

You can see exact costs at checkout. Is there anything else I can help with?"
```

### Order Lookup

```
User: "Where is my order?"

Bot: "I can help you track your order! Could you provide:
1. Your order number, OR
2. The email address used for the order"

User: "order #12345"

Bot: "Thanks! Let me look that up... [calls API]

Order #12345:
• Status: Shipped
• Carrier: USPS
• Tracking: 9400123456789
• Est. Delivery: January 18

Your order is on the way! You can track it here: [link]

Anything else I can help with?"
```

### Escalation

```
User: "This is the third time I'm asking about my refund. I want to speak to a manager."

Bot: "I sincerely apologize for the frustration. Let me connect you with a supervisor right away.

[Creates high-priority ticket]
[Transfers to human agent]

A team member will be with you shortly. They'll have access to our full conversation for context."
```

## Integration Examples

### Zendesk Integration

```javascript theme={null}
// Create ticket when escalating
async function escalateToZendesk(conversation) {
  const ticket = await zendesk.tickets.create({
    subject: `Support Request from ${conversation.user.name}`,
    comment: {
      body: formatConversationHistory(conversation.messages)
    },
    priority: 'high',
    tags: ['chatbot-escalation']
  });

  return ticket;
}
```

### Notion Knowledge Base

```javascript theme={null}
// Search Notion for answers
async function searchNotion(query) {
  const results = await notion.search({
    query: query,
    filter: {
      property: 'object',
      value: 'page'
    }
  });

  return results.results.map(page => ({
    title: page.properties.Title,
    content: extractContent(page)
  }));
}
```

## Next Steps

<CardGroup cols={2}>
  <Card title="Create Your Bot" icon="rocket" href="/get-started/quickstart">
    Build your support bot
  </Card>

  <Card title="Integration Setup" icon="webhook" href="/bots/integrations/webhook-setup">
    Connect your knowledge base
  </Card>

  <Card title="Team Assistant" icon="users" href="/use-cases/team-assistant">
    Internal team use cases
  </Card>
</CardGroup>