Companies must move from technically impressive AI use cases to ones that are operationally durable, financially justified and ready to scale, says Descartes general manager Dan Cicerchi. Large language models not only enable unstructured automation, they lead to non-technical people doing semi-productive things, Cicerchi says. Any technology project is concerned with governance, security and repeatability, but those things are more important with AI because the technology can enable outcomes one isn’t prepared for. Companies get “stuck” in their AI journey when there hasn't been a clearly defined outcome driven by business value, Cicerchi says. I think focusing on those value-based outcomes enables you to move from an R&D project or a fun IT project to a highly valuable impact business problem.”