Organization and Human Resources for Agentic AI in Procurement

Bernardo Nicoletti
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Bernardo Nicoletti: Temple University, Fox School of Business

Chapter Chapter 16 in Agentic AI for Procurement, 2026, pp 311-332 from Springer

Abstract: Abstract The field of agentic AI (AAI) is developing quickly. This chapter covers novel ideas like collaborative frameworks where humans and agents work together to create and carry out procurement plans, swarm intelligence techniques for group decision-making, and procurement agents that use massive language models. Changes in AAI for procurement are being accelerated by developments in distributed intelligence systems, large-scale language models, and frameworks for human-AI collaboration. The most significant emerging trends and technologies that are changing procurement organizations and people are highlighted in this chapter. Swarm intelligence systems that employ collective decision-making to tackle intricate procurement problems and sophisticated conversational bots that negotiate contracts in plain language are two examples. The chapter examines how academic institutions, tech start-ups, and multinational corporations use these concepts. It looks at how swarm intelligence techniques optimize partner networks, how collaborative human-AAI frameworks allow for novel approaches to strategic sourcing, and how big language models make procurement interactions more intuitive. The chapter demonstrates that these adjustments are not merely minor tweaks but substantial shifts that will make occupations and procedures more flexible, astute, and cooperative. The chapter gives procurement professionals the knowledge they need to handle the opportunities and problems these new solutions bring and prepare for the next wave of AAI-driven change.

Keywords: Organization; Human resources; Procurement; Agentic AI (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-23024-9_16

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DOI: 10.1007/978-3-032-23024-9_16

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