项目Project
AI 客户需求收集系统AI Client Intake System
把混乱的客户请求整理成可范围化、可交付的 intake 与分流工作流。A structured intake and triage workflow that turns messy client requests into scoped delivery plans.
- 角色Role
- 系统设计、流程架构、实现System design, workflow architecture, implementation
- 年份Year
- 20262026
- 状态Status
- 进行中in-progress
- 类型Type
- 自动化automation
技术栈Stack
概览Overview
设计了一个轻量的 AI 辅助流程，用来收集上下文、归类请求、生成下一步草案，并保持交付记录可搜索。Designed a lightweight AI-assisted workflow for collecting context, classifying requests, drafting next steps, and keeping delivery notes searchable.
影响：需求从收集走向范围定义时，不再依赖人工重新拼上下文。Impact: Requests can move from intake to scoped work with less manual reconstruction.
我具体做了什么What I Built
结构化需求收集Structured request capture
AI 辅助分类与摘要草拟AI-assisted classification and summary drafting
面向客户输出前的人审检查点Review checkpoints before client-facing output
技术栈Technical Stack
保持对 Vercel 友好，也方便随着内容系统增长继续扩展。Built to stay deployable on Vercel and easy to extend as the content system grows.
截图 / 画廊Screenshot / Gallery
视觉材料暂缺。等项目有最终媒体后再补真实截图。Visual materials pending. Add real screenshots when the project has final media.
关联案例研究Related Case Study
Reducing Client Intake Friction with AI
A repeatable intake pipeline that cuts context loss and makes proposals faster to scope.
打开案例研究Open case study