Most AI projects in procurement don’t fail because of bad tools, they fail because of bad assumptions.
This no-fluff whitepaper exposes why 64% of AI initiatives collapse after rollout, what the 36% who succeed do differently, and how you can avoid becoming the scapegoat for a failed deployment. It delivers a step-by-step framework for implementing AI in your procurement stack—realistically, strategically, and with measurable results.
You’ll learn why demo environments don’t reflect real-world conditions, why poor data silently destroys even the best models, and how to select platforms that consolidate rather than complicate your workflow.