Every false fraud flag is a legitimate customer treated like a suspect. The hardest problem in fraud detection isn't catching more — it's flagging less.
The challenge
Rule-based fraud systems generated floods of false positives. Investigation teams spent most of their time clearing innocent claims, while genuinely novel fraud patterns slipped past static rules.
Building it
Colendi AI deployed ColendiMind's fraud detection modules with a learning loop: every investigator decision feeds back into the model. The agent explains each flag in plain language, so investigators confirm or dismiss in minutes instead of hours.
What changed
- False positives reduced by 60% within the first quarter
- Novel fraud patterns caught that static rules had missed
- Every flag comes with a plain-language explanation for the investigator
“The win isn't the fraud we caught — it's the thousands of honest customers we stopped bothering.”
Risk & Fraud Lead