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The Technical Architecture of Agentic AI in Procurement

In: Agentic AI for Procurement

Author

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  • Bernardo Nicoletti

    (Temple University, Fox School of Business)

Abstract

This chapter covers the technical foundations of agentic AI (AAI), its architecture in procurement, and its more complex applications in business operations. It explains the basic guidelines for building multi-agent systems, how AAIs communicate, and how adaptive learning systems enable autonomous decision-making while maintaining organization. According to the analysis, an effective AAI requires a coordination architecture, strong communication protocols, and continuous learning capabilities that adapt to changing market conditions. The chapter shows that the technological architecture must balance AAI’s autonomy and collaboration efficiency to overcome the difficulties of deploying autonomous systems in complex organizational contexts.

Suggested Citation

  • Bernardo Nicoletti, 2026. "The Technical Architecture of Agentic AI in Procurement," Springer Books, in: Agentic AI for Procurement, chapter 0, pages 69-88, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-23024-9_4
    DOI: 10.1007/978-3-032-23024-9_4
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