案例研究Case Study
用 AI 降低客户需求收集摩擦Reducing Client Intake Friction with AI
一个可重复的 intake 管道，减少上下文丢失，让范围定义更快。A repeatable intake pipeline that cuts context loss and makes proposals faster to scope.
- 对象Client
- 小型工作室 / 咨询型协作Small studio / consulting-style engagement
- 角色Role
- 主导工程师与流程设计者Lead engineer and workflow designer
- 周期Duration
- 3 周3 weeks
- 发布时间Published
- 2026-03-142026-03-14
背景Context
工作从哪里开始Where the work started
请求来自多个渠道，团队每次写 proposal 前都要重新拼装上下文。Requests arrived from multiple channels, and the team had to rebuild context before every proposal.
问题Problem
真正需要改变的是什么What needed to change
上下文分散、责任不清，每一次报价都要手工重新还原背景。Context was fragmented, ownership was unclear, and every quote required manual reconstruction.
约束Constraints
是什么塑造了解法What shaped the solution
- 客户可见输出前保留人工审核Keep human review before client-facing output
- 不要过度自动化资格判断Do not over-automate qualification
- 保留可检索的交付记录Preserve searchable delivery notes
过程Process
我是怎么推进它的How I moved through it
- 梳理请求来源与失效点。Mapped request sources and failure points.
- 为项目上下文、约束与紧急度定义小 schema。Defined a small schema for project context, constraints, and urgency.
- 加入 AI 辅助分类与摘要草稿。Added AI-assisted classification and summary drafting.
- 在对外发送前设置审阅检查点。Designed review checkpoints before anything was sent to clients.
方案Solution
最终交付了什么What shipped
构建了一个结构化的 intake 与 triage 系统，带有清晰交接点、可复用模板与可审阅输出。Built a structured intake and triage system with clear handoff points, reusable templates, and reviewable output.
结果 / 影响Result / Impact
最后改变了什么What changed
团队得到了一条更平静的客户 intake 流、更快的 scope 速度，以及更少的 kickoff 前往返。The team got a calmer client intake flow, faster scoping, and fewer back-and-forth loops before kickoff.
范围定义更依赖清晰上下文，而不是记忆力。Scoping became less dependent on memory and more dependent on clear context.
复盘Reflection
我学到了什么What I learned
- 这里的 AI 最适合作为起草者，而不是决策者。AI works best here as a drafter, not a decision maker.
- schema 本身就是系统边界。The schema is the system boundary.
关联项目Related 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.
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