OpenClaw as a Chatbot for Customer Support

Clawpedia · For Humans

Deploy OpenClaw as an intelligent customer support chatbot with customizable responses and escalation.

AI-Powered Customer Support

OpenClaw can serve as a front-line chatbot for customer support — answering common questions, routing complex issues to human agents, and providing 24/7 availability. Unlike rigid rule-based chatbots, OpenClaw understands natural language and can handle nuanced conversations.

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How It Works

[Customer Message] --> [OpenClaw Agent] --> [Knowledge Base Search]
                           |                      |
                      [AI Response]          [Match Found?]
                           |                      |
                      [Send Reply]     [No Match: Escalate]

• Customer sends a message via your website, email, or messaging platform
• OpenClaw searches your knowledge base for relevant information
• If a match is found, it generates a contextual response
• If no match, it escalates to a human agent

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Setting Up the Support Bot

openclaw skills install customer-support

Knowledge Base

Create a knowledge base from your existing documentation:

openclaw support kb import --source ./docs/
openclaw support kb import --url https://docs.example.com/
openclaw support kb add "Returns are accepted within 30 days of purchase."

Configuration

customer_support:
  knowledge_base:
    path: ~/.openclaw/support/kb
    embedding_model: text-embedding-3-small
  response:
    model: gpt-4o
    temperature: 0.3
    max_length: 300
    tone: professional
    language: en
  escalation:
    enabled: true
    trigger_phrases:
      - "speak to a human"
      - "talk to a person"
      - "escalate"
    no_match_threshold: 0.4
    email: support@example.com
  channels:
    widget: true
    email: true
    telegram: true

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Channel Integration

Website Widget

<script src="https://cdn.openclaw.dev/widget.js"></script>
<script>
  OpenClawWidget.init({
    agentUrl: "https://your-server.com:3377",
    theme: "light",
    position: "bottom-right",
    greeting: "Hi! How can I help you today?"
  });
</script>

Email Support

Configure an email inbox that OpenClaw monitors:

customer_support:
  email:
    imap_host: imap.gmail.com
    smtp_host: smtp.gmail.com
    address: support@example.com
    check_interval: 60

Messaging Platforms

Connect via existing platform bridges (Telegram, WhatsApp, Discord).

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Response Types

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Conversation Management

"Show open support conversations"
"How many tickets were resolved today?"
"What are the most common questions this week?"

Example analytics:

Support Dashboard (Last 7 Days):
  Total conversations: 234
  Auto-resolved: 189 (81%)
  Escalated: 45 (19%)
  Avg response time: 1.2s
  Customer satisfaction: 4.6/5

Top Questions:
  1. "What is your return policy?" (34 times)
  2. "How do I track my order?" (28 times)
  3. "Do you ship internationally?" (22 times)

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Training the Bot

From Conversation History

openclaw support train --from-logs

Analyzes past conversations to improve future responses.

Manual Q&A Pairs

openclaw support kb add-qa \
  --question "What are your business hours?" \
  --answer "We are open Monday to Friday, 9 AM to 6 PM CET."

From Documents

openclaw support kb import --file faq.pdf
openclaw support kb import --file product-manual.docx

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Escalation Rules

customer_support:
  escalation:
    rules:
      - condition: "sentiment < -0.5"
        action: escalate
        priority: high
        message: "Frustrated customer detected"
      - condition: "topic = billing"
        action: escalate
        priority: medium
      - condition: "attempts > 3"
        action: escalate
        message: "Customer asked 3+ times without resolution"

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Tips

• Start with your FAQ — import existing documentation before going live.
• Set temperature low (0.2-0.3) — support responses should be factual, not creative.
• Enable escalation — never leave a customer without help.
• Monitor satisfaction scores — adjust responses based on feedback.
• Review escalated conversations — they reveal knowledge base gaps.
• Use professional tone — consistent brand voice builds trust.

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Troubleshooting