Is Your Job at Risk? — AI in Financial Crime Operations (Part 2)

AI is reshaping financial crime operations — but not the way most people think. We break down Executive AI vs Institutional AI, explain why agentic flows change the game, and answer five questions every compliance professional is asking: is your job at risk, will teams grow, will the work get easier, will it get more fun, and will salaries follow?

Same AI. Same Transaction. Two Opposite Verdicts.

Short and sharp Same AI. Same transaction. Different prompt. Opposite conclusions. The real risk of AI in financial crime prevention is not that it gets things wrong — it is that it gets things wrong convincingly.

ERKIN OKSELFebruary 25, 2026AML, Financial Crime, Compliance, RegTech, Artificial Intelligence

Network Analysis in AML: Why You Don't Need a Graph Database

Traditional AML systems analyze transactions one at a time. Financial criminals work in networks. Here's how network analysis closes that gap — without the graph database overhead.

ERKIN OKSELFebruary 9, 2026Network Analysis, AML, Transaction Monitoring, Fraud Detection, Financial Crime, Compliance

Batch vs. Real-Time Monitoring in AML: Why Modern Systems Need Both

The AML industry frames batch and real-time monitoring as competing approaches. The truth is simpler: a modern system must support both — plus manual case creation, external triggers, and retroactive application of new typologies to historical data. This article explains the five case creation methods every AML transaction monitoring platform should support, and what compliance officers should look for when evaluating systems.