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Best Practices for Applying AI in Procurement

A 6-page ETS guide to applying AI across the procurement lifecycle — best practices, how SAP's AI-enabled procurement solutions work, expected ROI and metrics, and final takeaways.
October 6, 2026 by
ETS, Inc.
This resource is available as a PDF

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The guide lays out best practices for AI in procurement: set clear, measurable objectives; start with focused pilots such as spend analysis, PO automation, and contract analysis; ensure high-quality, integrated data; engage procurement, IT, finance, and executives early; and integrate AI ethically and securely with auditability and data governance.

It explains how SAP embeds AI across its procurement portfolio — AI-assisted sourcing, supplier risk scoring, and contract clause extraction in SAP Ariba and Smart Source-to-Pay, and real-time spend visibility and category planning through SAP Spend Control Tower and Ariba Category Management, connecting insights, planning, and action.

On ROI, it cites expectations of roughly 16% ROI from AI in 2025 rising to about 31% by 2027, and a metrics table covering procurement cycle time, automation gains, cost savings, supplier risk, and data errors, noting that indirect value such as freed-up time, better negotiation leverage, and avoided disruptions also counts.

The full guide is available above as a PDF. See also "SAP Ariba Functionality Overview: Source-to-Settle Spend Management" in the Resource Library.

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