zoharbabin/due-diligence-agents

这是尽调/评估型 Agent 集合，价值在于大量提示词和评估模板如何组织成可重复的审查流程。

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解决什么问题

它不是一个普通链接，而是一个可拆解的工作样本

适合解决“复杂对象评估没有统一问题清单和输出格式”的问题。可以带到供应商评估、课程项目评审或 HR 工具审计。

本地完整包已通过基础压缩包检查；有说明文件（README），便于学员理解；包含可拆解的提示词和智能体指令素材；原清单识别到许可协议信息。

核心功能

工作原理

基本原理是：把一个复杂评估任务拆成多个角度的智能体和提示词，让它们分别收集、判断、输出结构化结论，再汇总成报告。

31% of M&A failures trace back to due diligence shortcomings — Acquisition Stars, citing HBR, McKinsey, and KPMG research
DD timelines keep compressing — what used to be a six-week process becomes three weeks, with no reduction in scope — Spellbook
Corp dev teams screen 200-1,000+ companies/year but close only 1-10 — a 1-3% conversion rate, with DD costs sunk on every deal that doesn't close — CorpDev.AI
AI contract analysis reaches 95% accuracy with clause-aware prompting (up from 74% baseline) — Addleshaw Goddard RAG Report, 510 contracts tested
86% of M&A organizations have integrated GenAI into deal workflows — Deloitte 2025 M&A Trends

适用边界

适合想学习 HR 助手、招聘智能体、多角色智能体或 Copilot 原型的学员、HR 数字化负责人和技术同学。

不适合希望不读说明文件（README）、不做环境适配、马上用于真实业务的用户。

使用方法

依赖提示：可能需要按说明文件（README）安装依赖、配置 API key 或在测试平台导入。

包内线索

31% of M&A failures trace back to due diligence shortcomings — Acquisition Stars, citing HBR, McKinsey, and KPMG research
DD timelines keep compressing — what used to be a six-week process becomes three weeks, with no reduction in scope — Spellbook
Corp dev teams screen 200-1,000+ companies/year but close only 1-10 — a 1-3% conversion rate, with DD costs sunk on every deal that doesn't close — CorpDev.AI
AI contract analysis reaches 95% accuracy with clause-aware prompting (up from 74% baseline) — Addleshaw Goddard RAG Report, 510 contracts tested
86% of M&A organizations have integrated GenAI into deal workflows — Deloitte 2025 M&A Trends
Interactive HTML report — Go/No-Go verdict with executive narrative, progressive disclosure (decision → actions → domain details → full evidence), severity filtering

下载与来源

保持原作者、来源和许可协议信息；使用模拟数据完成学习练习。

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