A useful AI usage review gives leadership a forwardable snapshot of spend, adoption, risk, and blind spots without pretending the picture is complete.
Show totals with signal labels
The first page should show AI spend and usage totals by signal quality. A single blended number is easier to read but easier to misinterpret. Signal labels make the report honest.
Surface shadow AI findings
Expense and card data often reveal tools that never passed through IT. Flag vendors that appear risky, unmanaged, recurring, or tied to personal accounts so owners can review them.
End with three next actions
The review should not become a data dump. It should end with concrete actions such as upload expense evidence, connect a provider, assign owners to risky tools, or review departments with weak coverage.
Key takeaways
- 01Show total AI spend with signal labels.
- 02List shadow AI tools found through card or expense evidence.
- 03Name blind spots explicitly.
- 04End with three concrete next actions.