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n8n Workflow: Cloudflare Workers AI Support Reply Webhook

n8n Workflow: Cloudflare Workers AI Support Reply Webhook

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n8n Workflow: Cloudflare Workers AI Support Reply Webhook

n8n Workflow: Cloudflare Workers AI Support Reply Webhook

Regular price £70.99
Regular price £70.99 Sale price
SAVE Sold out

Turn support messages into on-brand replies using Cloudflare Workers AI

This n8n workflow lets you receive customer support messages via a webhook, use Cloudflare Workers AI (Cloudflare Chat Model) to draft an on-brand response, and return a structured JSON reply your helpdesk, CRM, or app can consume instantly.

What this workflow does

  • Receives a POST request through an n8n webhook with a required customer_message and an optional customer_name.
  • Normalizes and enriches the input by preparing the prompt with your company name, support guidelines, and the desired response style.
  • Generates a support reply by sending the prepared prompt plus the customer message to the Cloudflare Chat Model in Cloudflare Workers AI.
  • Formats the output into predictable JSON including the original message, customer name, and the generated reply.
  • Returns the JSON response as the HTTP response to the original webhook request.

Use cases

  • Helpdesk automation: Draft first-pass replies for tickets by posting customer_message to the workflow webhook and receiving JSON back.
  • SaaS customer support: Generate consistent, on-brand responses using your internal support guidelines and tone settings.
  • CRM / app integration: Your application consumes the returned JSON to log the interaction and store the drafted response.

Technical details

  • Cloudflare Workers AI via the Cloudflare Chat Model (Workers AI credentials required).
  • n8n nodes: webhook, set, code, respond to webhook, and language/LLM orchestration nodes (including n8nn8n-nodes-langchain components).
  • Workflow configuration: Update “Configure Support Reply” with your company name, instructions, and response style.

Get started: Copy the webhook URL from “Receive Customer Message,” then POST customer_message (and optionally customer_name) and test the JSON reply.

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