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This thesis has the title "Agentic AI in Procurement: Transforming Supplier Management, Contracting and Decision-Making in the Digital Era". It investigates how autonomous artificial intelligence systems, referred to as agentic AI, are and will be reshaping procurement functions across global enterprises. It shows that while the technological capabilities of AI is Page | 6
maturing rapidly, adoption in procurement remains not the same everywhere, particularly in large firms. The core hypothesis tested is that cybersecurity anxieties and workforce inertia are the primary barriers to AI deployment in procurement, in the short term, and even with clear economic and strategic incentives.
The thesis explores in a practical manner three sub-domains of procurement management where agentic AI is supposed to deliver transformative impact:
1. Supplier Management – from a today static scorecards to tomorrow real-time, risk-aware supplier ecosystems.
2. Contracting – from manual redlining to generative AI-driven negotiation and compliance.
3. Decision-Making – from reactive planning to predictive, data-driven procurement strategies.
The research is based in the belief that procurement is at a pivotal moment. As you can see from the development:
“Procurement has evolved from tactical purchasing to strategic supply management; AI has progressed from logical puzzles to autonomous agents. Their convergence is not optional: it represents the next productivity S-curve.
