Building Enterprise Knowledge Work Agent

US · SaaS / Enterprise Software · AI Practitioners

Building Enterprise Knowledge Work Agent US · SaaS / Enterprise Software · AI Practitioners 01 / 输入 - 数据来源 02 / AI 处理 - 核心工作流 03 / 输出 - 变现交付 搭建 运行 变现 数据/信号 · Spend ev… · 输入 - 数据来源 › 搭建 数据/信号 Spend ev… AI 处理 · Sema4 · AI 处理 - 核心工作流 › 运行 AI 处理 Sema4 交付变现 · Charge 2… · 输出 - 变现交付 › 变现 交付变现 Charge 2… Legend User UI Agent logic Policy Tool action Context / trace

成功关键

  • • Leverage the enterprise-grade endorsemen…
  • • Use human business experts as validators…
  • • Translate delivery results into client-p…
  • • Prioritize on-premise deployment and emp…

风险

  • • Enterprise clients have long decision-ma…
  • • High client data security and compliance…
  • • Open-source platform version iterations …

真实案例

  • • Sema4
  • • The agent-knowledge-hub repository maint…
  • • The open-source repository midea-ai/sema…
  • • The Sema4

Workflow diagram • Built with Archify • Create yours ↗ • Hover to trace • R route • Click to focus • +/− zoom • M radar • T theme • E export