THE PROCUREMENT INTERVIEW
“ If you consider an agent as a young graduate student who comes to your job. You need to describe what the job is about, where do you get data to form decisions, who can you reach out to, what’ s your goal, how you measure yourself, whether you’ re successful in your job.
“ You need to do that all with humans, but the same is with agents. You can’ t just put the agent system there and expect that it itself knows what to do.”
This is precisely why Pactum’ s underlying technology is rule-based and deterministic – not a large language model making freeform commercial decisions. Every action is traceable. Every outcome is auditable. The governance layer is not a constraint on the system. It is what makes the system enterprise-grade.
Agentic AI constantly learns, taking information from global networks and major events. As a tool, it adapts to the needs of the company it is applied to, while also remaining vigilant of market trends. As it is constantly learning, it creates a deeper knowledge base for businesses, allowing them to create more informed decisions and confidence in their actions.
Despite their advancements, however, they are not the answer to all problems, as Kaspar acknowledges. Some agents are fully autonomous, whereas others act as an advisory service for humans, across category, strategy or more important business decisions.
The evolution of procurement As technology advances, the ways in which procurement leaders work with the technology must also change.
Leaders must adopt the technology strategically, rather than applying it to processes
“ Technology and core models are evolving a lot, but it’ s no longer a technology problem, it’ s the change management and adoption challenge and how to change the operating model of large enterprises,” says Kaspar.
“ We are learning together with the clients every day, and the agents are becoming more sophisticated. They can do more strategic tasks, rather than just mundane operation work.” Procurement is changing, becoming
34 June 2026