This playbook is a practical guide for preparing enterprise data for AI. It walks through the four milestones that determine whether an AI program reaches production, from establishing what data you have to keep it governed over time. It assumes you have defined an AI use case and are now asking the operational question: is our data ready, and if not, what must happen before a model touches it?
Each milestone builds on the one before, and the AI method decisions covered later depend on the earlier steps being complete. The outcome is a data foundation that is discoverable, classified, governed, and formatted for your chosen AI method, which makes the difference between a pilot that fails and a program that scales.
