How Infor prepares its customers for AI success

As organizations move from AI experimentation to enterprise-scale execution, the real differentiator is no longer the sophistication of the model, but the quality and consistency of the data feeding it. Nucleus found that organizations operating across multiple point solutions face persistent accuracy gaps, delayed insights, and higher integration spend, often 30 to 40 percent of total project cost, because AI must reconcile fragmented, inconsistent information before it can generate value. Infor’s unified ecosystem flips this model. By consolidating data captured from different enterprise applications such as ERP, WMS, WFM, CPQ, PLM, MES, supply chain, and operational workflows onto a single data fabric, customers unlock cleaner signals, faster deployment cycles, and stronger predictive performance. Organizations consolidating on Infor report 37 percent lower integration costs, AI deployments up to 30 percent faster, and 10 to 20 percentage point gains in model accuracy, supported by embedded analytics and preconfigured industry templates that reduce implementation timelines by as much as six months. For enterprises seeking repeatable ROI, not isolated wins, Infor’s integrated architecture and domain-specific design offer a more reliable path to sustained AI impact, reduced operational drag, and a foundation capable of scaling intelligence across every corner of the business.