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a16z 对话 Lio CEO：FDE 的 KPI 是自动化自己，用多智能体承接采购隐性工作
a16z 的 Seema Amble 与 Elena Burger 对话 Lio 联合创始人兼 CEO Vladimir Keil。Lio 约 85% 员工为工程师，多数非工程头衔者也有工程背景，以避免成为咨询公司。其前置部署工程师（FDE）的核心 KPI 是自动化自身岗位，完成后转向下一任务，同时推动产品自服务化、减少定制。Vlad 认为 AI-native 创业公司的机会在 ERP 等系统记录之外的隐性工作：一个最终价格背后可能隐藏数百封邮件、表格、供应商沟通与跨部门决策，Lio 用多智能体系统覆盖从寻源、RFQ 到谈判、物流跟踪与发票的端到端流程。节目还讨论了企业对智能体承担高后果决策的信任建立、内部自建 AI 最后 20% 的投入，以及买卖双方都部署智能体时的情形。
AI推荐理由 a16z 播客中 Lio CEO 披露 AI-native 垂直公司打法：85% 员工为工程师，FDE 的 KPI 是自动化自己的岗位再转向下一任务；用多智能体系统承接采购中 ERP 之外的隐性工作（询价、谈判、物流、发票）。属于一手访谈，含具体组织与产品思路，但为观点性内容、无量化效果证据。
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Lio co-founder and CEO Vlad Keil on the KPI for the company's forward-deployed engineers: automate your own job, then move to the next one.
"When you look at the org structure of Lio, 85% of the people are engineers."
"And even the people who don't have an engineering title mostly have an engineering background. The reason for that is we don't want to be a consulting company."
"There is a lot of forward-deployed work to do if you go to enterprises because they have different nuances in their processes. But how we work is... building a product in a way where we're reducing this customization, but also where it's a lot of self-service."
"The job of our FDEs is on the one hand making it self-service, but internally it's automating their own job. Their KPI is... literally your job is to automate yourself. And then if you automate yourself, you go to the next task."
[@askvladi](https://x.com/askvladi)
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a16z@a16z
Lio co-founder and CEO Vladimir Keil joins a16z's Seema Amble and Elena Burger to discuss where AI-native startups have an advantage when incumbent software companies already own the customer, the data, and the system of record:
Their answer comes down to the work that happens outside those systems. In procurement, a final price in an ERP can hide hundreds of emails, spreadsheets, supplier conversations, engineering analyses, and decisions across legal, finance, and operations. Vlad explains how Lio uses multi-agent systems to take on more of that end-to-end work, from sourcing and RFQs to negotiation, shipment tracking, and invoices.
They also discuss how enterprises learn to trust agents with increasingly consequential decisions, why the last 20% of an internal AI build can require most of the effort, and what happens when both buyers and suppliers have agents working on their behalf.
00:58 Why AI startups still beat incumbents
04:19 The hidden work behind an $8K line item
06:18 Retrieval, process, policy, principal
09:27 The incumbent's internal conflict
14:48 What procurement actually looks like
21:13 Procurement at Boeing-scale
28:03 A bolt order, end-to-end
37:57 What a durable vertical AI company looks like
44:46 When both sides deploy agents
YouTube: [youtu.be/OTQ-lFsq7zA](https://youtu.be/OTQ-lFsq7zA)[@askvladi](https://x.com/askvladi)[@seema\_amble](https://x.com/seema_amble)[@VirtualElena](https://x.com/VirtualElena)
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[🔗 View on Twitter](https://x.com/a16z/status/2106030858859839593/video/1)
[🔗 View Quoted Tweet](https://x.com/a16z/status/2106030858859839593)