知识与决策Knowledge and decisions
信息分散，事实缺来源与责任人，汇总难以支持下一步决策。目标是可追溯的 Context 和决策闭环。Facts are scattered and unowned. The aim is a context you can trace, and a decision that closes.
让 AI 进入真实业务，让每一次协作沉淀为组织能力。Let AI enter real work. Let each run leave capability behind.
未鸣从一条具体流程出发，连接数据、上下文、方法、工作入口与责任人，共同建造可运行、可验证、可持续更新的人机协同系统。We start from one real flow — data, context, method, the work door, and an owner — and build a system you can run, check, and keep updating.
经营分析Operating analysis
报表之后仍需大量人工解释。目标是从数据变化进入判断、行动与反馈。After the report, people still explain it by hand. The aim is from a change in the numbers to a judgment, an action, and a loop back.
企业工作流Work flows
AI 输出仍靠复制粘贴。目标是 Agent 按权限进入真实入口，由人完成关键放行。AI output still lives in copy-paste. The aim is an agent that enters the real door, with a person on the last gate.
一项可讨论的实践：内容审核人机协同A case we can talk about: human-in-the-loop moderation
社交内容量太大，全靠人审撑不住；全自动又不敢。做法是把高置信区间交给自动处置，中间态留下人工复核，再按风险样本改边界。Volume is too high for a full human queue, and full auto is too risky. High-confidence slices go automatic. The middle stays with people. Edges move with risk samples.
昵称送审Nickname reviews约降 86%~86% down高置信区间不再进人工队列High-confidence cases leave the queue
人力释放Time back约 2.5 人 / 日~2.5 people / day从重复送审里腾出来Freed from repeat review
图片一轮测试准确率Image, first-round test99.36%中间态仍走人工复核The middle still goes to people
口径：一轮测试，匿名案例，不写客户名。数字用来说明人机分工，不是对外承诺。One test round, anonymous, no client names. The numbers show the split. They are not a promise.
AIDC 情报工作台AIDC intel desk
AIDC 产业链的成本、容量、算力需求、政策和投融资散在公开材料里。人看不过来；模型直接写进库，又会把未核验的数字当成事实。Cost, capacity, demand, policy, and deals sit in public pages. People cannot read it all. A model that writes straight into the library treats unverified numbers as fact.
交互很窄：人先筛来源 → 系统按规则抽候选 → 候选默认未核验 → 人复核后才入库 → 再按库起草和校验 → 人发布。系统不替人批准，也不把草稿写成正式事实。The loop is narrow: a person picks sources → the system extracts candidates → unverified by default → a person checks before they enter the library → draft and check from the library → a person publishes. The system does not approve. A draft is not a fact.
合作路径How we start
1 场景澄清 → 2 证据与基线 → 3 原型验证 → 4 小范围试点 → 5 复盘决策。1 Name the scene → 2 Evidence and a baseline → 3 Prototype → 4 A small pilot → 5 Review and decide.