护栏不是上线后的补丁
企业 Agent 不是聊天机器人。它会读取知识、调用工具、影响客户体验甚至触发业务动作，因此必须在设计阶段就把边界写清楚。
上线前最小清单
- 评估集：准备真实问题、边界问题和失败样本。
- 权限：明确哪些数据可读、哪些动作可执行。
- 留痕：保留输入、输出、调用、审核和人工接管记录。
- 回滚：出现异常时可以暂停 Agent 并回到人工流程。
运营比发布更重要
护栏的价值在于持续迭代。每一次失败样本都应进入复盘，让知识库、规则、Prompt 和流程节点不断变稳。
AGENT ENGINEERING
Agent 上线前要准备哪些护栏？
把 AI 接进真实业务，必须先定义什么可以自动做、什么必须交给人、失败后如何恢复。
AGENT ENGINEERING
What Guardrails Are Needed Before Agent Launch?
Before AI enters real work, define what it can do automatically, when humans must step in, and how failures recover.
Guardrails Are Not Post-Launch Patches
Enterprise Agents read knowledge, call tools, affect customer experience, and sometimes trigger business actions. Boundaries must be designed early.
Minimum Launch Checklist
- Evaluation set with real, edge, and failure cases.
- Permission rules for data access and executable actions.
- Audit trail for inputs, outputs, calls, reviews, and handoffs.
- Rollback path to pause the Agent and return to manual flow.
Operations Matter More Than Release
Every failure should feed review and improve knowledge, rules, prompts, and workflow nodes over time.