Lattice Bank
/ THE NUMBERS
Speed and accuracy, at the same time.
/ THE PROBLEM
Tuned for caution. Punishing good customers.
Lattice's fraud stack was built five years ago when the bank had 200K customers. At 2.4M, the same heuristics were flagging 1 in 8 legitimate purchases — and the support queue couldn't scale to manually clear them.
The compliance team was unwilling to relax the rules without a model that could materially close the gap. They'd evaluated three vendors over twelve months and shipped none of them.
/ THE SOLUTION
Real-time signals over static rules.
NeuralPress trained a per-customer behavioral model on Lattice's existing transaction history, then deployed it as an inline check in the authorization path. The model runs in under 100ms and adapts continuously as customer behavior drifts.
Inside six weeks the new system was scoring every transaction in production. False positives dropped 38% in the first month — without compliance loosening a single threshold.
/ YOUR ORG NEXT?
See what one platform could ship for you.
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