What needed to work better?
Support teams repeat similar research for each email: understand the customer, find prior context, and write a suitable reply.
CUSTOMER SUPPORT · AI AUTOMATION
Amanda · Email Responder
Customer context before the reply.
An AI email-response workflow that uses support history, sentiment, and the current message to prepare more relevant customer replies.
BUILT FOR
Support teams handling recurring customer email enquiries
THE IDEA BEHIND THE BUILD
Start with a real problem.
A connected way forward.
Amanda connects Richpanel-triggered support events with an n8n and OpenAI workflow. It analyses the available customer context and generates a response suited to the enquiry.
WHY IT MATTERS
Designed to make the work easier.
- Less repeated context gathering
- More consistent response preparation
- A connected email-support workflow
WHAT THE PRODUCT DOES
The useful parts, explained.
Core capabilities that turn the idea into a practical product.
Richpanel event trigger
Start the process from the connected support platform.
Customer-history context
Use the available support history to understand the enquiry.
Sentiment awareness
Consider the tone and context of the incoming message.
AI response generation
Prepare a personalised reply through the automation workflow.
HOW IT COMES TOGETHER
Follow the workflow.
Select a step to see how the project moves from input to outcome.
STEP 01 / THE WORKFLOW
Receive an enquiry
A support event starts the automation.
STEP 02 / THE WORKFLOW
Gather context
Read available history and message context.
STEP 03 / THE WORKFLOW
Prepare a reply
Generate a response aligned with the enquiry.
STEP 04 / THE WORKFLOW
Illustrative workflow overviewContinue support
Return the response to the connected support workflow.
THE PRODUCT
A closer look.
Explore the project visual in more detail.
BUILT WITH
The technology behind the work.
The stack behind this project and its connected workflow.
n8nAutomationAutomated WorkflowCustomer SupportAI Chatbot
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