As gaming operations become larger and more connected, AML programs face a growing challenge: investigative capacity cannot scale at the same rate as customer activity, transaction volume, and available risk data.

In a new interview with CasinoRank, Kinectify Founder and CEO Joseph Martin discusses why that is pushing operators to rethink how AML programs are designed.

One of the central distinctions is between risk-based and capacity-based compliance. When investigative resources are finite, organizations can gradually begin reviewing what their teams have time to investigate rather than continuously identifying where the greatest risk actually exists.

“A risk-based program investigates where the risk is. A capacity-based program investigates what people have time to review.”

The conversation also explores enterprise-wide customer risk, false positives in legacy monitoring systems, the role of AI in automating repetitive investigative work, the continuing importance of human judgment, and the need to connect intelligence across physical casinos, online gaming, sports betting, payments, and other customer touchpoints.

Read the full CasinoRank interview with Joseph Martin.

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