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奥纬咨询:2026采购重构:代理型AI时代的可控自主研究报告(英文版)(17页).pdf

上传人: 1736****123 编号:1193618 2026-04-20 17页 1.06MB

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1、 Procurement,rewired:Managed autonomy in the agentic AI era Oliver Wyman2Executive summaryAgentic AI is starting to shift procurement from a function that manages process steps to one that manages execution.While not changing the overall structure of the procurement operating model,it changes who do

2、es the work and how decisions flow in order to unlock value,reduce risk,and ensure compliance at scale.Companies across industries are not only using agentic AI,but reaping measurable,scalable benefits by doing so.Today agentic AI is impacting procurement operating models in a variety of ways:Standa

3、rd,repeatablework can increasingly run end-to-end under explicit guardrails,while humans concentrate on exceptions and material trade-offsValue tends to appear first through faster cycle times,tighter channel and term enforcement,fewer renewals slipping,and lower leakage from off-contract buyingCapa

4、city is released through reduced routing,chasing,and document assembly,with time shifting from moving tickets to managing outcomesSavings improve less through better negotiation in isolated events than through scalable discipline:coverage,enforcement,renewal capture,and avoided lossEarly results dep

5、end ona few well-made choices:defining the first workflows to be covered by agentic AI,codifying guardrails,and assigning clear ownership for exceptions anddecision rightsScaling requires robust foundations and management cadence:permissions,audit logs,and segregation of duties,plus a rhythm for shr

6、inking recurring exceptions rather than letting them become a second processUsed well,agentic AI can materially shift procurements cost-to-serve and value coverage at the same time.It can also position procurement as a credible AI leader inside the enterprise,especially when investment and attention

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1. **核心转变**:Agentic AI推动采购从管理流程步骤转向管理执行,释放产能、降低风险并确保规模化合规。 2. **关键数据**: - 零售案例:AI谈判尾端供应商,关闭率>60%; - 金融案例:采购资源从50减至8,AI谈判节省20%成本; - 电信案例:AI增强CLM减少60%人工工作量,纠纷减少80%; - 能源案例:自动化RFQ采购1亿美元,周期时间缩短约50%。 3. **实施要点**: - 定义“车道”(如标准RFx、续约),明确自主权限边界; - 优先选择可重复、规则明确的领域试点; - 通过审计日志、职责分离等保障安全扩展。
**AI如何重塑采购?** **采购如何实现自主?** **采购AI如何落地?**
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