AI in Procurement: 10 Common Myths Debunked with Evidence
Procurement organizations evaluating artificial intelligence face a barrage of conflicting claims—vendors promising overnight transformation, skeptics dismissing the technology as overhyped, and practitioners uncertain which use cases deliver genuine value versus experimental distractions. This confusion stalls strategic initiatives and perpetuates inefficiencies that AI could resolve: manual requisition intake creating bottlenecks, limited spend visibility eroding negotiated savings, and slow RFx cycle times delaying cost reduction programs. Separating evidence-based AI capabilities from marketing exaggeration requires examining what leading enterprises actually achieve in production environments. Across hundreds of AI in Procurement deployments at companies like Unilever, Siemens, and Johnson & Johnson, consistent patterns emerge that contradict widespread myths. Organizations report specific, measurable outcomes: 40-60% reductions in contract review time, 95%+ accuracy in spend...