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.