AI workflow study / 互動研究
Customer communication agent.
A customer-reply workflow that identifies missing context and prepares a draft for human review.
有意圖的工作流
Helpful communication starts with context.
理解輸入。給出有用的建議。把最終決定交給評審者。
背景
一個聚焦的任務。
一個有用的下一步。
A quick reply is only useful if it is accurate. This study uses a fictional delivery enquiry to demonstrate how an assistant can recognise missing information, prepare a clear response and leave the sending decision with a person. It has no inbox, order-system or messaging connection.
Workflow design & interactive prototype
以互動工作流原型的形式構建。演示使用預先定義的範例回應，不連接 AI 模型或真實業務系統。
See the system
think in steps.
Choose a workflow, inspect the sample input and review the proposed output. You make the final call.
Prepare a helpful reply to a fictional delivery enquiry, ready for a person to review.
Sample message: “My order has not arrived. Can you help?” No order record, delivery estimate or customer information is connected to this demonstration.
- 01Understand the sample enquiry
- 02Identify missing information
- 03Prepare a reply for review
Your review workspace.
Run the example to reveal the proposed changes.
This browser simulation demonstrates the workflow and interface. Its sample responses are predefined; it does not call an AI model, access a store or publish changes.
工作內部
圍繞決策
而設計。
- 01
A fictional delivery enquiry containing no personal customer data.
- 02
A workflow that separates understanding the request from checking the facts.
- 03
A draft response that asks for necessary context rather than inventing an order status.
- 04
A review interaction that never sends a message or contacts a customer.
工具與技術