The 1% Solution: Why Most Procurement AI Initiatives Fail to Scale

▤ Summary

This article argues that most procurement AI efforts fail because companies try to retrofit AI into legacy platforms instead of building on AI-native foundations. It says organizations get value from focused pilots, clear business outcomes, training, and scalable architecture, not from adding isolated AI features. The piece frames procurement AI as moving through three waves: basic automation, conversational interfaces, and autonomous agents. It uses examples of faster RFP production and contract savings to show the potential of AI-native systems. The central message is that architecture will determine which procurement teams can scale AI successfully.

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