Tieto Banktech
AML software for banks helps investigators form a clearer picture, prioritize risks and build audit-ready controls.

AML efficiency saves time and improves results
Help teams prioritize alerts that warrant further review instead of treating every case the same.
Give investigators context, history and supporting evidence in a single dashboard.
Tune rules, test scenarios and improve monitoring while maintaining an audit trail.
Eight dependable ways to build your money laundering defences
Insights
As financial crime becomes more advanced, fraud prevention must become more precise.
Selecting the right fraud prevention vendor is becoming increasingly difficult for banks as vendor claims around AI, fraud detection and operational performance continue to grow. There is currently no universal industry standard for measuring the effectiveness of fraud prevention systems. Many vendors rely on internally designed test datasets, selective scenarios and self-defined performance metrics that may not reflect real-world banking environments.
As software development costs fall by 30–40%, banks would appear well positioned to modernise fraud prevention and AML operations using automation and AI-driven monitoring. However, many banks still rely heavily on growing AML operations teams and manual transaction reviews rather than investing in more scalable fraud prevention technology.
European banks face rising fraud, with payment fraud losses exceeding EUR 45 billion in 2024–2025. But scale is only part of the challenge: many fraud prevention systems were designed for the US market, despite Europe’s distinct payment infrastructure, regulations and fraud patterns.
Talk to our experts about improving AML monitoring, prioritizing risk, and helping investigators resolve alerts faster with clear, audit-ready controls.
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