Procurement maturity assessment

Professional services management still relies heavily on local practices, informal exchanges, and manual tools. Business teams handle day-to-day operations with strong on-the-ground responsiveness and a solid understanding of their needs.

However, global visibility remains limited. It is difficult to know who is involved, at what rate, under which contracts, and with what level of risk. The challenge is to secure commitments, including contracts, spend, and compliance, while establishing a clear and simple common framework that does not slow down the business.

A Procurement framework is in place, and compliance and supplier control have been identified as priorities. Some vendors are being referenced, and rules are gradually being formalized. However, management remains fragmented across entities, categories, and local practices.

The result is heterogeneous processes, multiple tools, and a high operational workload for Procurement. The objective is to harmonize workflows, ensure data reliability, and give business teams controlled autonomy within a shared framework.

The category is structured and data-driven, with clear processes that are well understood by stakeholders. Supplier panels are better controlled, spend is consolidated, and KPIs are monitored regularly. Procurement is recognized as a true business partner, capable of arbitrating, optimizing, and securing engagements.

The challenges now shift toward scalability across multiple entities and international scope, continuous supplier performance optimization, and more advanced data exploitation. The objective is to move from primarily operational oversight to a more strategic approach.

Professional services are managed as a strategic asset, fully aligned with business, HR, finance, and IT priorities. Visibility is global and near real-time, supplier performance is closely monitored, and cross-functional collaboration is embedded in governance.

The challenge is no longer only about control, but about transformation: anticipating needs, supporting the evolution of work models, and industrializing decision-making through responsible data and AI governance. The VMS then becomes a sustainable foundation for performance and competitive advantage.