Glean创始人谈AI优先组织建设

AI-First 的组织应该怎么建？是在现有流程中做优化？ 不是！要重新设计工作本身如何完成，括流程、权责、安全架构和衡量方式等。 Glean 创始人 @jainarvind 在 Glean:GO...

AI-First 的组织应该怎么建？是在现有流程中做优化？ 不是！要重新设计工作本身如何完成，括流程、权责、安全架构和衡量方式等。 Glean 创始人 @jainarvind 在 Glean:GO 后的总结分享值得学习，从五个方面展开。 1. 从"被动工具"到"主动同事" 现状痛点：大多数员工不知道"该问 AI 什么"，提示词门槛导致 AI 潜力被闲置。 解决思路：当 AI 掌握员工的角色、OKR 和日常任务等深层上下文后，可以主动提出建议和工作，而非等待提问。 2. 重新设计工作流，而非单个任务 关键洞察：效率瓶颈往往不在任务本身，而在任务之间的交接、上下文切换和部门墙。 如果只优化单点任务而流程不变，AI 的收益会在协调成本中流失。 3. "Day 0 安全"——安全必须内建，不能后补 企业 AI 无法以一堆零散试点的方式规模化。 要让组织敢于把关键业务交给 AI，细粒度的数据治理和权限控制必须直接嵌入核心系统，从第一天就存在，而非事后打补丁。 4. 衡量"结果"而非"活动" DaVita 的案例：节省了 7.5 万个工作日，但其 CIO 强调真正的衡量标准是人的影响——让护理人员每天多陪病人五分钟。 AI 的 ROI 不应只算"省了多少工时"，应追问省下的时间转化成了什么价值。 5. 明确所有权：CAIO（首席 AI 官）角色的兴起 多位 CAIO 的共识：没有明确负责人，AI 永远是一堆互不关联的项目，无法升级为新的运营模式。 这呼应了核心论点——AI 转型是组织问题，需要组织架构层面的安排（设立专职高管）来保障。 Arvind Jain @jainarvind Becoming AI-first is not just a technology strategy. It’s an organizational design problem. Last week at @Glean :GO, leaders from some of the world’s largest companies—like @GM , @Ericsson , @Cisco , @Deloitte , @Mastercard , @Dell , and @GeneralMills —showed that even organizations with long histories can become AI-first. But the transition requires redesigning how work gets done, not simply adding AI to the existing stack. A few themes stood out: - 𝗠𝗼𝘃𝗲 𝗳𝗿𝗼𝗺 𝗿𝗲𝗮𝗰𝘁𝗶𝘃𝗲 𝘁𝗼𝗼𝗹𝘀 𝘁𝗼 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗰𝗼𝘄𝗼𝗿𝗸𝗲𝗿𝘀. On stage with @OpenAI ’s @embirico and @CNBC ’s @Kr00ney , we discussed why most companies barely tap AI’s potential: workers don't know what to ask. When AI has deep context—your role, OKRs, and daily tasks—it can proactively propose work by default, eliminating the friction of prompt engineering. - 𝗥𝗲𝗱𝗲𝘀𝗶𝗴𝗻 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗮𝘀𝗸𝘀. The biggest constraint is often the coordination around a task: handoffs, context switching, and silos. If the workflow stays the same, much of AI’s productivity gain is lost. This is why we built Glean Transform, to map how work actually happens and redesign it around AI. - 𝗕𝗮𝗸𝗲 𝗶𝗻 𝗗𝗮𝘆 𝟬 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆. In my conversation with @Cisco ’s @jpatel41 and @Deloitte ’s Ashish Verma, a shared reality emerged. Enterprise AI cannot scale as a collection of ad-hoc initiatives. To give organizations the trust needed to hand over real, mission-critical work, Day 0 security and fine-grained data governance must be built directly into your core systems of record. - 𝗠𝗲𝗮𝘀𝘂𝗿𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆. @DaVita has saved 75,000 days of work using Glean. But as Madhu Narasimhan, CIO of DaVita, emphasized, the ultimate measure is human impact: giving a caregiver five more minutes with a patient. - 𝗖𝗿𝗲𝗮𝘁𝗲 𝗰𝗹𝗲𝗮𝗿 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽, 𝗼𝗳𝘁𝗲𝗻 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗮 𝗖𝗔𝗜𝗢 𝗿𝗼𝗹𝗲. In a panel with CAIOs from Capgemini, Mastercard, Ericsson, and Zapier, leaders emphasized that without clear ownership, AI remains a collection of disconnected initiatives instead of becoming a new operating model. Thank you to our customers, partners, speakers, and Glean team for showing what it looks like to build an AI-first organization in practice. We’re honored to be a partner in that journey. 🔗 View Quoted Tweet 💬 1 🔄 1 ❤️ 6 👀 862 📊 3 ⚡