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Tieto Banktech
AML software for banks to sift through alerts fast and accurately
AML software for banks helps investigators form a clearer picture, prioritize risks and build audit-ready controls.
Challenge
AML investigators face high alert volumes, complex investigations and growing regulatory demands. Tieto Banktech helps cut through the noise with precision monitoring, case management, risk ratings and investigation tools, enabling teams to resolve alerts efficiently with clear audit trails.
Benefits
Why financial institutions choose our anti-money laundering software
Stay focused on the risks that matter with AML software that supports better-informed decisions and adaptable controls.
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1
Optimize analyst time
Help teams prioritize alerts that warrant further review instead of treating every case the same.
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2
Make decisions easier to support
Give investigators context, history and supporting evidence in a single dashboard.
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3
Adapt controls
Tune rules, test scenarios and improve monitoring while maintaining an audit trail.
Capabilities
Focused on the risks that matter
Eight dependable ways to build your money laundering defences
Contact us
Strengthen your AML operations
Talk to our experts about improving AML monitoring, prioritizing risk, and helping investigators resolve alerts faster with clear, audit-ready controls.
See all financial crime prevention solutions
Financial crime prevention designed for modern financial services
Insights
Read more on financial crime prevention
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Blog
AI-led fraud detection, human-led decisions
As financial crime becomes more advanced, fraud prevention must become more precise.
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Blog
How banks can evaluate fraud prevention vendors
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.
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Blog
AI-driven AML monitoring helps banks cut costs
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.
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Blog
European financial crime requires European fraud prevention
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.
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