Boards aren’t funding AI because it’s trendy—they’re funding it to drive growth, cut costs, improve cash discipline, and manage risk. Yet many programmes stall after the first dashboard because the business can’t answer basic questions with confidence: What counts as revenue? Who is the customer? Which numbers are actually audit-ready? That isn’t a data science problem. It’s a management system problem: inconsistent definitions, unclear ownership, and end-to-end processes tha