Our new weekly series brings industry insights around Ardent Partners’ AI Rising 2026: The State of Procurement AI report, sponsored by ORO Labs and Fairmarkit, examining how CPOs and senior procurement leaders are navigating the AI transformation, and revealing where AI adoption is accelerating, the challenges that remain, and the strategies separating today’s leaders from tomorrow’s laggards.
In Part Six this week, we look at the priorities driving where AI will be applied first in the organization.
What Is Driving the AI Agenda: The Roadmap Priorities
If the CPO’s view of AI defines its role, their priorities determine where it is applied first. The alignment is both clear and pragmatic. Speed and cycle-time reduction lead the way, followed closely by cost savings and margin protection, with risk management and resilience firmly in the top tier. Together, these priorities reinforce a consistent theme: AI is being directed toward the operational core of procurement, where time, cost, and risk intersect.
This focus reflects the realities of 2026. Procurement teams are under pressure to move faster without sacrificing control, deliver savings without introducing new vulnerabilities, and respond to disruption with greater precision. AI, in this context, becomes a lever for execution that can help compress cycle times, improve throughput, and enable faster, better decisions.
The next set of priorities are decision intelligence and insight quality (41%) and organizational agility (39%) further underscoring this point. CPOs are not just looking to do things faster, but to do them better, with clearer visibility and more confidence.
Notably, areas often associated with more advanced AI maturity like predictive capability, supplier innovation, and even compliance rank significantly lower. This is less a dismissal of their importance, but more so, a reflection of sequencing. Before procurement can fully anticipate or innovate, it must first accelerate and stabilize its core operations. The foundation comes first.
Taken together, the signals from this chapter are consistent. AI in procurement is no longer theoretical, and it is no longer isolated. It is being applied deliberately, in service of the CPO’s most immediate and measurable priorities. The journey toward autonomous procurement has begun with the direction set and pace carefully managed. How well procurement teams navigate once they begin moving forward will depend on how and where they choose to direct it. Cost and speed run nearly neck-and-neck as co-equal top priorities, while the gap between them and risk management is notable. That third-place finish for risk reflects a procurement function that has spent three years building supply chain resilience as an operating discipline. It is no longer episodic. Risk management is infrastructure.
Decision intelligence — the ability to make better, faster, more data-informed decisions — lands in fourth place and represents what Ardent Partners views as the highest-value AI use case. When AI moves from automating tasks to improving judgment, the multiplier effect on procurement outcomes is significant. The CPOs who are building toward decision intelligence as a primary objective are investing in the version of the function that will define the next decade.
Access your free copy of AI Rising 2026: The State of Procurement AI to discover how procurement leaders are adopting AI, evaluate your organization’s readiness against current market trends, and gain practical insights for building a more intelligent, AI-enabled procurement function.
