“By 2027, procurement functions ready to deploy agentic AI use cases will gain speed, resilience, and competitive advantage. And 67% of procurement teams are discussing or planning agentic AI.”

The Readiness Gap

Procurement leaders are under pressure to move beyond AI pilots

By 2027, procurement functions ready to deploy Agentic AI use cases will gain speed, resilience, and competitive advantage. Momentum is accelerating, but readiness remains limited.

According to Gartner

The signal is clear, the readiness is not

The gap between experimentation and readiness is where the next procurement advantage is won, or lost.

Source: Gartner, CPO’s Guide to Building Agentic AI Readiness in Sourcing and Procurement, Lynne Phelan

Inside the Report

Our key takeaways

• Workflows suitable for Agentic AI deployment
• Use cases with measurable operational and financial ROI
• Technical debt and fragmented environments
• Data quality and AI readiness
• AI initiatives with enterprise automation strategies
• Governance for trust, compliance, and risk
• Vendors for procurement-specific orchestration
• Supervising and optimizing autonomous workflows
• Scalable foundations for enterprise-wide AI adoption

Why It Matters Now

Agentic AI is a shift in how procurement executes

Unlike traditional automation, agentic AI can reason, coordinate actions, and autonomously execute work across sourcing, supplier management, contracting, purchasing, and risk response. But autonomous execution without governance introduces operational risk.

Successful deployment requires AI-ready data, workflow orchestration, enterprise-grade governance, cross-functional alignment, clear escalation and oversight mechanisms, and organizational trust.

The Zycus Perspective

Readiness is the point. Isolated agents are not.

Isolated agents do tasks. Zycus delivers Intake to Outcomes.

Zycus feels the research above sets out why organizations must move beyond disconnected experimentation toward integrated, governed procurement workflows. Reading it alongside that direction, Zycus believes the future of procurement AI is not isolated automation, but governed orchestration across sourcing and procurement.

As enterprises move from experimentation to deployment, procurement leaders need AI that combines autonomy with enterprise-grade governance, accountability, integration, and control. AI decides. Suite governs. Enterprise stays in control. That is the foundation for scalable agentic procurement, taking enterprises from Source-to-Pay to Intake-to-Outcomes through the Merlin Agentic Platform.

The views in this section are those of Zycus.

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Gartner, Magic Quadrant for Source-to-Pay Suites, 21 January 2026, By Micky Keck, Kaitlynn Sommers, et al.

Gartner, CPO’s Guide to Building Agentic AI Readiness in Sourcing and Procurement, 15 May 2026, By Lynne Phelan

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This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Zycus.