Webhook Policy Helpbot: Google Drive PDF + Gemini Answers

Turn a Policy PDF into an Employee Q&A Webhook Helpbot (with Gemini + Escalation)

Webhook Policy Helpbot answers employee questions using your company policy stored as a Google Drive PDF. It extracts the document text, asks Google Gemini to produce a structured, policy-only response, and automatically creates a support ticket when confidence is low—so your team gets answers fast and safely.

What this workflow does

• Receives questions via a POST webhook from your chatbot or frontend (expects JSON with at least message, userId, channel, and sessionId).
• Fetches and reads your policy PDF from a Google Drive download URL, then extracts the PDF’s text content.
• Builds a policy-grounded prompt by analyzing the document text to infer the likely policy domain and document structure, and instructs Gemini to answer using only the document.
• Calls Google Gemini with the system prompt + the user’s question, then parses the model’s JSON response (including a confidence score).
• Returns answers when confidence ≥ 0.70, including the policy-based response plus section, next action, and summary.
• Escalates when confidence < 0.70 (or parsing fails) by sending an HTTP request to an external helpdesk endpoint with the question and the bot’s best attempt, and returns an escalation notice.

Use cases

• Employees ask HR or IT policy questions and receive instant, PDF-backed guidance.
• SaaS operators want a self-serve helpbot that falls back to ticketing for uncertain answers.
• Automation engineers need a webhook-based policy Q&A flow with Gemini confidence gating.

Technical details

• n8n nodes/logic: Webhook, if, set, code, Sticky Note, HTTP Request
• Integrations: Google Drive (PDF fetch), Google Gemini (PaLM) (model selection required)
• Escalation: HTTP Request to a helpdesk/ti​cket endpoint when confidence is below 0.70 or JSON parsing fails

Ideal if you’re building an n8n automation workflow for policy-grounded AI answers with reliable escalation.