Agentic AI Implementation for the Procurement: Roadmap and Lessons Learned

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

Chapter Chapter 14 in Agentic AI for Procurement, 2026, pp 267-292 from Springer

Abstract: Abstract This chapter summarizes the results from the theoretical and practical applications discussed in the preceding chapters. It provides a complete plan for how to use Agentic AI (AAI) in procurement. The chapter lays out a methodical approach that includes an assessment of the organization’s readiness, creating a pilot program, rules for managing change, and a framework for adoption that can be scaled up based on real-world data from different fields. This chapter explains that important variables for success are getting stakeholders involved, having a mature data infrastructure, working together across departments, and getting backing from executives. This chapter advises procurement professionals to switch from manual to cutting-edge automated processes by looking at instances from big, small, and government organizations. The results demonstrate that a staged approach that focuses on changing culture, building skills, and setting up a governance framework is needed for AAI to work well.

Keywords: Agentic AI; Procurement; Agentic AI implementation (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_14

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DOI: 10.1007/978-3-032-23024-9_14

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