AI Impact by Function

See how we've implemented AI across fraud, AML, underwriting, and compliance.

Fraud Detection

Your team manually reviews 40,000+ alerts per month. 95%+ are false positives. Real fraud hides in the noise while analysts burn out.

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AML Monitoring

Your rule-based system flags outdated patterns. Sophisticated money laundering schemes slip through. Your SAR backlog grows every quarter.

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KYC & Onboarding

Customer onboarding takes 5-14 days. Manual document review creates bottlenecks. Good customers abandon, fraudsters get creative with fake docs.

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Compliance Monitoring

You monitor millions of customer interactions (chat, email, calls) for compliance violations. Sampling misses risks. Full review is impossible.

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Credit Underwriting

Manual underwriting bottlenecks your loan pipeline. Thin-file applicants get auto-declined. You're leaving good business on the table while competitors move faster.

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The Problem

Your team manually reviews 40,000+ alerts per month. 95%+ are false positives. Real fraud hides in the noise while analysts burn out.

What AI Does

Cuts false positives 20-90% by learning patterns your rules miss (verified at JPMorgan, HSBC, DBS)
Works 24/7 flagging anomalies the second they appear
Explains every decision with audit-ready reasoning
Learns from your analysts without replacing them

Business Impact

Reduce cost-per-alert from $57 to $4-8
Free up 8-12 analyst FTEs for complex cases
Catch fraud your current system misses
Deploy in 6-8 weeks, not 2 years

HSBC: 60% false positive reduction, 2-4x more crime detected. DBS: 90% reduction in false positives, 75% faster investigations.

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