Why Feeding Raw Data to AI Is Killing Your FP&A Accuracy

Episode notes

Are you feeding raw financial data straight into AI and wondering why the results are inconsistent — or worse, just wrong? AI is only as good as the data architecture underneath it. For SaaS CFOs and operators running monthly FP&A cycles, that means the order of operations matters enormously. Skip the deterministic compute layer, and your AI narrates garbage. Get the structure right, and suddenly AI can do what no human ever could — synthesize five years of retention schedules and SaaS metrics in seconds.