AI teams need to stop running isolated experiments and build disciplined, end-to-end processes instead. Moving from cottage-industry projects to production systems requires rigor across idea generation, financial justification, technical complexity, and deployment.
As long as you have the discipline to plan ahead and not just throw it out there and hit and hope, as they say, right? But you have, again, that particular discipline. And we'll talk about this, I'm sure, in a little bit about how do we go from a one-off kind of cottage industry of let's just have pockets of innovation, everybody's doing it different, to something that's more industrialized delivery of AI, as I call it, from I've got an idea through all the way through those different rigorous processes, the financial understanding, the complexity, the technical, etc., to actually being using that AI itself. So that's part of that discipline that we'll talk about, I'm sure, here.
Trust and Leadership Lessons for FP&A From 100+ Top Leaders with CFO Jon Laudie
