Case Study
Improved surveillance accuracy and confidence scoring to flag high-risk trades early.
35%
Accuracy uplift
-22%
Alert review time
100K+ users
Adoption
Surveillance analysts were overrun by noisy alerts, making it harder to isolate real risks fast.
Re-tuned detection models, introduced explainability layers, and partnered with compliance to validate guardrails.
Accuracy improved 35% with higher analyst trust and faster triage cycles.
Guardrails plus transparent scoring unlock adoption faster than raw model gains alone.
Expand to cross-asset correlations and real-time feedback loops for continuous learning.