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如果您正在考虑企业中的应用人工智能,这是一篇很棒的文章。这篇文章的标题是关于哪些公司从人工智能中有巨大的好处,.

This is a great post if youre thinking about applied AI in the enterprise. The headline of this post is about what companies have huge upside from AI,...

Aaron LevieAI2026-07-11
如果您正在考虑企业中的应用人工智能,这是一篇很棒的文章。这篇文章的标题是关于公司从人工智能中获得的巨大好处,但最深层次的掘金是关于人工智能转型在组织中的样子。它从根本上改变了底层工作流程或业务流程。当我们从聊天工具转向代理时,这些代理实际上必须针对工作流进行部署,工作流通常跨越组织中的多个功能。这是一种与仅向最终用户推出人工智能不同的部署方式。前期工作要做更多,但结果才是真正推动重大投资回报率的因素。“软件要求员工采用工具,但基础设施会改变员工下面的操作层。员工仍然应该知道发生了什么,流程所有者仍然应该能够暂停工作流程、更改规则、批准异常或在需要时将人员拉回。但这个价值不应该取决于有人每天记住使用人工智能。”其中的赢家将是可以部署为具有深厚领域专业知识的特定工作流程和业务流程的平台。剧本通常需要FDE支持、变更管理、良好组织数据、能够对工作流程进行全面评估,以及更多需要正确处理的事情。Daniel Kornum:http://x.com/i/article/2075696085017006080

原文

This is a great post if youre thinking about applied AI in the enterprise. The headline of this post is about what companies have huge upside from AI, but the deepest nuggets are about what AI transformation looks like in an organization.It’s fundamentally about changing the underlying workflow or business process. As we move from chat tools to agents, those agents actually have to be deployed against workflows, which usually span multiple functions in an org. This is a different way of deploying AI than solely rolling it out to end users. It takes much more work upfront, but the results are the things that actually drive significant ROI. “Software asks the employee to adopt a tool, but infrastructure changes the operating layer underneath the employee. The employee should still know what happened, and the process owner should still be able to pause the workflow, change a rule, approve an exception, or pull a person back in when needed. But the value should not depend on someone remembering to use the AI every day.”The winners of this will be the platforms that can be deployed for specific workflows and business processes with a deep domain expertise. The playbook will often heavily require FDE support, change management, getting data well organized, be able to have comprehensive evals for the workflows, and much more to get right.Daniel Kornum: http://x.com/i/article/2075696085017006080