The most important AI feature in your product is not the one people use most, and it is not the one closest to the invoice. It is the one where a silent quality drop costs you customers fastest.
The test
Ask one question of every feature: if this feature's quality quietly dropped 20% tomorrow, how fast would it cost us customers?
That is downside exposure. Engagement rewards the features people fiddle with. Revenue attribution flatters whatever sits closest to the money. Both miss the feature that can actually hurt you.
The three axes
Revenue through the workflow. Not revenue attributed to the feature, revenue flowing through the workflow the feature sits in. A summarization step inside your billing pipeline touches every dollar, even if nobody would list it as a revenue driver.
Cost of a wrong answer. A bad movie recommendation costs a shrug. A bad dosage extraction, a bad compliance flag, or a bad number in a customer-facing report costs trust, and sometimes more than trust.
Reversibility. Some damage is a bug fix. Some damage is a churned account that tells three peers why. Rank how hard the trust is to win back once it breaks, not how hard the bug is to fix.
Score every AI feature on those three axes and the ranking rarely matches your dashboard. The flashy feature with the great engagement numbers usually lands mid-table. The top of the list is the boring feature buried in the customer's core workflow that everyone assumes just works.
Why that is exactly the problem
The feature with the highest downside exposure is, almost by definition, the one nobody is watching. It is not in the demo. It is not in the board deck. Its evals were written at launch and have not been read since, because it just works. Until it works 20% less, silently, and the first signal you get is a churn call.
The fix is not more dashboards. It is pointing your eval budget at the ranking this test produces instead of the ranking your engagement metrics produce. Eval coverage should follow downside exposure, not usage.
Run the test on your own product this week. If the feature at the top of your downside list is also the one with the stalest evals, you already know what this quarter's eval work is.