How to keep sources, calculations, and uncertainty in an AI-assisted marketing review.
Ask a scoped question
“What worked?” is a broad invitation to make a confident story. A more useful question names the period, the available sources, and the decision at hand. For example: what can the connected September records support about this budget review?
The scope gives an AI assistant something concrete to explain. It also makes omissions easier to notice. An answer should identify the records it used and distinguish observed facts from calculations and estimates.
Keep the basis close
A readable explanation should not remove the reasoning. Show the source and calculation behind a result, and keep model assumptions within reach. That lets a reader examine the answer without reconstructing the entire workflow.
If $48,000 of matched revenue is divided by $25,000 of known spend, the calculation can be shown plainly. If spend coverage is partial, that limit belongs in the same answer. A fluent paragraph cannot complete missing data.
Review before action
Use AI to prepare a clearer brief, surface discrepancies, or propose the next investigation. Keep the decision with the people responsible for the budget and the evidence.
Before acting, check the source period, the matching method, and the coverage. A useful explanation makes those checks easier. It should help a team understand a result rather than turn an uncertain estimate into a fact.
What is the source? What is the method? What remains unknown?
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