FRAUD PREVENTION & AML COMPLIANCE
However,‘ buy’ does not mean surrendering flexibility. The next generation of platforms, including NOTO, offers open data schemas, modular AI and the ability to upload or govern your own models. This gives fintechs the best of both worlds – enterprise-grade capability with customisation where it matters.
Looking ahead, firms should identify platforms that offer on-premise AI, explainable models, hybrid rule-ML engines and instrumentalised AI agents that automate analyst workflows safely and compliantly.
These innovations will become essential as fraud sophistication grows and regulatory frameworks like the EU AI Act take effect.
Q. WHAT SHOULD ORGANISATIONS CONSIDER WHEN CHOOSING AN ENTERPRISE FINANCIAL CRIME PREVENTION PLATFORM?
» It is a strategic decision that determines whether an organisation stays ahead of evolving threats or remains trapped in a cycle of firefighting.
Based on our experience and fieldtested EFM methodology, there are several critical factors institutions should consider when evaluating solutions.
Deep alignment with product flows and risk surface is key. A vendor must support a complete understanding of how products work. Without the ability to map and ingest all relevant data flexibly, even the most advanced tools risk misalignment with actual exposure. As the playbook stresses, designing controls without a precise product map is a major pitfall.
Comprehensive visibility across all fraud and AML risks is important, and organisations should look beyond raw fraud losses. The right platform must provide transparency into direct losses, operational workload, friction and customer impact, partner compliance expectations and reputational or regulatory exposure. A fragmented or single-use-case tool won’ t give the enterprise-level clarity needed for strategic decision making.
Look for the ability to model likelihood × impact and operate with explainability. Effective financial crime prevention requires consistent, comparable risk assessments and ongoing refreshes. Platforms must offer explainable decisions, unified reporting and the ability to forecast trends, not just detect them reactively.
A modern EFM platform must support a multi-layered control architecture across product-level controls, realtime decisioning, ML models, sanctions screening and orchestration of internal and external data sources.
It should adapt to the ecosystem without forcing rigid schemas or heavy IT dependencies. This architecture is where long-term success is won or lost.
Financial crime evolves constantly, making operational efficiency and continuous improvement key. The selected platform must enable small, rapid iterations, phased implementation and continuous measurement. It should also integrate seamlessly with case
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