Periodical
Why Agentic AI Could Transform Procurement.
| Τίτλος: | Why Agentic AI Could Transform Procurement. |
|---|---|
| Συγγραφείς: | Himmelreich, Heiner, Oshri, Ilan, Scala, Paolo, Zaidani, Anas |
| Πηγή: | Harvard Business Review Digital Articles; 8/13/2026, p1-10, 10p |
| Θεματικοί όροι: | Industrial procurement, Artificial intelligence, Intelligent agents, Corporate purchasing, Reengineering (Management), Autonomous robots |
| Περίληψη: | The article focuses on the transformative potential of agentic AI—autonomous AI systems capable of reasoning and acting independently—in enterprise procurement functions. Despite procurement’s strong fit for agentic AI due to its economic visibility, structured workflows, and persistent inefficiencies, adoption remains low primarily because of organizational barriers such as accountability concerns, fragmented ownership, and poor data quality. Case studies from major companies demonstrate significant improvements in supplier onboarding, compliance monitoring, and negotiation outcomes when procurement leads AI deployment with clear governance, data infrastructure, and value-based measurement. The article concludes that successful integration of agentic AI in procurement requires redesigning operating models around the technology rather than layering it onto existing processes, with procurement owning end-to-end responsibility to capture measurable financial benefits. [Extracted from the article] |
| Copyright 2026 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 196278949 RelevancyScore: 1147 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 1147.42492675781 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Why Agentic AI Could Transform Procurement. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Himmelreich%2C+Heiner%22">Himmelreich, Heiner</searchLink><br /><searchLink fieldCode="AR" term="%22Oshri%2C+Ilan%22">Oshri, Ilan</searchLink><br /><searchLink fieldCode="AR" term="%22Scala%2C+Paolo%22">Scala, Paolo</searchLink><br /><searchLink fieldCode="AR" term="%22Zaidani%2C+Anas%22">Zaidani, Anas</searchLink> – Name: TitleSource Label: Source Group: Src Data: Harvard Business Review Digital Articles; 8/13/2026, p1-10, 10p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Industrial+procurement%22">Industrial procurement</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+agents%22">Intelligent agents</searchLink><br /><searchLink fieldCode="DE" term="%22Corporate+purchasing%22">Corporate purchasing</searchLink><br /><searchLink fieldCode="DE" term="%22Reengineering+%28Management%29%22">Reengineering (Management)</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+robots%22">Autonomous robots</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on the transformative potential of agentic AI—autonomous AI systems capable of reasoning and acting independently—in enterprise procurement functions. Despite procurement’s strong fit for agentic AI due to its economic visibility, structured workflows, and persistent inefficiencies, adoption remains low primarily because of organizational barriers such as accountability concerns, fragmented ownership, and poor data quality. Case studies from major companies demonstrate significant improvements in supplier onboarding, compliance monitoring, and negotiation outcomes when procurement leads AI deployment with clear governance, data infrastructure, and value-based measurement. The article concludes that successful integration of agentic AI in procurement requires redesigning operating models around the technology rather than layering it onto existing processes, with procurement owning end-to-end responsibility to capture measurable financial benefits. [Extracted from the article] – Name: Abstract Label: Group: Ab Data: <i>Copyright 2026 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=196278949 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: Industrial procurement Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Intelligent agents Type: general – SubjectFull: Corporate purchasing Type: general – SubjectFull: Reengineering (Management) Type: general – SubjectFull: Autonomous robots Type: general Titles: – TitleFull: Why Agentic AI Could Transform Procurement. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Himmelreich, Heiner – PersonEntity: Name: NameFull: Oshri, Ilan – PersonEntity: Name: NameFull: Scala, Paolo – PersonEntity: Name: NameFull: Zaidani, Anas IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 08 Text: 8/13/2026 Type: published Y: 2026 Titles: – TitleFull: Harvard Business Review Digital Articles Type: main |
| ResultId | 1 |