HEAD OF FRAUD / RISK DIRECTOR
"Our false positive rate looks fine on paper. It doesn't look fine when you see the activation dropout it's causing."
Fintech onboarding fraud and operational fraud are different problems that most platforms treat with the same score
threshold. The cost shows up in activation rates and support tickets before it ever shows up in the fraud P&L.
CFO / FINANCE DIRECTOR
"We're spending more on manual review than on the fraud platform itself. And the platform is still missing things."
At mid-market transaction volumes, the ops cost of reviewing borderline decisions typically exceeds the tool cost. Fraud
models that produce scores without context force human review into the workflow by design.
CTO / HEAD OF ENGINEERING
"We have the data to build a better model. We don't have the loop to feed it back."
The signals that improve a fraud model — investigation outcomes, dispute results, confirmed fraud labels — sit in three
different systems that don't talk to each other. The model trains on what it had at launch, not on what it's learned since.
Tier-1 banks built 200-person risk teams and proprietary ML platforms over decades. Mid-market fintechs don't have that
option — or that timeline. SENTR is the infrastructure that changes the equation in 8 days.