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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?

24/7 Availability

Respond to customers instantly, any time of day

Handle Volume

Scale support without hiring more agents

Instant Responses

No wait times for common questions

Multi-Channel

Support customers on their preferred platform

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
// 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:
1

Sample Conversations

Review 10-20 random conversations weekly.
2

Identify Issues

Look for:
  • Incorrect answers
  • Confused customers
  • Unnecessary escalations
  • Missed opportunities
3

Improve Prompts

Update system prompt based on findings.
4

Update Knowledge Base

Add new information for common questions.

Best Practices

Set Expectations

Tell customers they’re chatting with AI

Easy Escalation

Make it simple to reach humans

Keep Learning

Continuously improve from conversations

Measure Impact

Track metrics and ROI

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

// 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

// 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

Create Your Bot

Build your support bot

Integration Setup

Connect your knowledge base

Team Assistant

Internal team use cases