📖 Generate PII-safe Helpdocs from Crisp Support chats with GPT-4.1-mini

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Description

Turn Crisp chats into Helpdocs

Automatically create help articles from resolved Crisp chats. This n8n workflow listens for chat events, formats Q&A pairs, and uses an LLM to generate a PII‑safe helpdoc saved to a Data Table.

Highlights

• 🧩 Trigger: Crisp Webhook when a chat is marked resolved.
• 🗂️ Store: Each message saved in a Data Table (crisp).
• 🧠 Generate: LLM turns Q&A into draft helpdoc.
• 💾 Save: Draft stored in another Data Table (crisphelp) for review.

How it works

1. Webhook receives message:send, message:received, and state:resolved events from Crisp.
2. Data Table stores messages by session_id.
3. On state:resolved, workflow fetches the full chat thread.
4. Code node formats messages into Q: and A: pairs.
5. LLM (OpenAI gpt-4.1-mini) creates a redacted helpdoc.
6. Data Table crisphelp saves the generated doc with publish = false.

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Requirements

• Crisp workspace with webhook access (Settings → Advanced → Webhooks)
• n8n instance with Data Tables and OpenAI credentials

Customize

• Swap the model in the LLM node.
• Add a Slack or Email node after store-doc to alert reviewers.
• Extend prompt rules to strengthen PII redaction.

Tips

• Ensure Crisp webhook URL is public.
• Check IF condition: {{$json.body.data.content.namespace}} == "state:resolved".
• Use the publish flag to control auto‑publishing.

Category: AI • Automation • Customer Support

🔗 Nodes Used

Webhook, Basic LLM Chain, OpenAI Chat Model, Data table

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup