# Scale AI 与加州大学提出 READY 框架评估企业级 Agent 可靠部署

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-09-05 10:56
- AIHOT 分数：43
- AIHOT 链接：https://aihot.virxact.com/items/cmtnt22iz0b7nroqshbcojni8
- 原文链接：https://x.com/rohanpaul_ai/status/2096069941405651374

## AI 摘要

Scale AI 与加州大学发布论文《READY or Not: Reliable Enterprise Agent Deployment》，提出 READY 评估框架，将智能体与配套人工审查一起评估，衡量在指定可靠性目标下所需的人工监督与成本。

## 正文

Scale AI + Univ of California paper shows 2 agents can score almost the same yet need very different human review, so enterprise teams should rank agents by the cost of reliable deployment, not benchmark accuracy.

READY evaluates the agent together with the human review around it. It asks how much oversight the agent needs to reach the reliability your workflow requires.

READY argues that enterprise evaluation should measure the human-AI system: what reliability you need, which cases the agent can handle alone, how much human review is required, and what that policy costs.