Client
A payments platform processing $2B+ annually
Timeline
16 weeks
Services
Data Engineering & AnalyticsCustom AI & ML SoftwareCloud & DevOps
$3.2M
in fraud flagged year one
<50ms
scoring latency
−63%
false positives
The challenge
Their existing rules engine flagged fraud in nightly batches — hours too late — and generated so many false positives that good customers were getting blocked at checkout.
Our approach
- 1
Stood up a streaming pipeline that scores every transaction in under 50ms as it happens.
- 2
Trained and evaluated an ensemble model on historical fraud, tuned for precision so legitimate payments sail through.
- 3
Added a review console and feedback loop so analysts' decisions continuously retrain the model.
“AimBow's senior team treated our codebase like their own and left us with something we can actually maintain.”