8 pieces.
How do unit-of-measure errors corrupt spend data?In two ways: some change the spend total, most only the unit cost. Errors large on one line look small in the total. The ratios they leave can find them.How do you prove where a number came from?For a business figure: keep the rule and its version, the records it used, the documents behind them, and when it ran. Judgement calls need an approver.Is it safe to connect AI to your ERP?It can be. Beyond least privilege and logging: keep document reading apart from anything that acts, and treat a confident wrong answer as a safety risk.Does AI train on your company's data?It depends on the plan and the account. Business terms we checked forbid it; consumer plans may allow it. Staff bringing their own AI are the gap.Where should a timber business host its data, US or EU?Where its personal data and contracts point; most timber data isn't personal. Decide by data type, know the transfer mechanism, keep a way out.What is data lineage?The record of where data came from and what was done to it, kept for tables, fields or single records. For timber data, the record level matters.How clean does data need to be before AI is useful?Clean enough for the question. For totals, systematic errors across many rows matter more than typos, and automated cleaning handles them worst.How do you keep reports trustworthy when the underlying data changes?State what each report knew and when, keep history so any past report can be reproduced, and show what changed since the last issue and why.