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

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