The data foundations most AI projects skip
Access, definitions and ownership. Get those three wrong and every downstream model inherits the confusion.
Before intelligence there has to be agreement. Three questions decide whether an AI programme will work: who can access which data, what each field actually means, and who owns it when it's wrong.
Most organisations discover mid-project that two departments define 'active customer' differently, and that the reconciliation has always happened in a spreadsheet on someone's laptop.
Fixing definitions and ownership is unglamorous and it is the highest-leverage work in the entire programme. Models built on contested data produce confident, well-formatted disagreement.
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