What “material” means when you chase revenue leaks
Not every gap is worth a case. How materiality, exposure and SLA risk help a team decide where to start.
Findings sorted by estimated exposure: Linear Systems $32,000, Northstar Health $27,600 and Acme Corp $8,420 per month, all high materiality, then Atlas AI at $3,360 per month, medium.
A good detection process finds more than a team can fix. The question stops being “what is wrong?” and becomes “what do we do first?”. That is what materiality is for.
Start with estimated exposure
Every finding carries an estimated exposure: how much revenue is at stake, either each month or as a one-off. Sorting by it puts the largest gaps first. It is a rough guide rather than a verdict, because the figure is an estimate until finance confirms it.
Linear Systems $32,000, Northstar Health $27,600 and Acme Corp $8,420 per month, all high materiality, then Atlas AI at $3,360 per month, medium.
Then look at materiality
Materiality describes how much a finding matters, such as High or Medium. Exposure and materiality usually agree, but not always. A smaller gap on a customer that is renewing, or one that repeats every month, can matter more than a larger one-off.
Set thresholds so the list stays short
On the Scale plan you can set materiality thresholds and SLA-risk flags. A threshold keeps small findings out of the way, so the list you work from is the list that deserves attention. An SLA-risk flag marks the findings that put a service-level commitment at risk.
Validate before you chase
Keep potential exposure and validated leakage separate. Potential exposure is everything Droplet has found; validated leakage is what finance has confirmed. Working from the validated number keeps recovery targets honest, and the gap between the two tells you how much review is still to do.
Droplet shows both totals side by side, ranks findings by exposure, and tags each one with a case ID and an owner. To see how it looks on your data, talk to us or read how findings and cases work.