Customer Risk Assessment
Dynamic, data-driven risk scoring to manage ML/TF exposure
☑ Fully configurable to match your institution’s risk matrix and thresholds
☑ Automatically updates risk profiles as new data or behaviours emerge
☑ Adjusts scores dynamically based on behavioural patterns
Let us know how we can help
Why get a demo?
It doesn’t matter whether you are interested in a complete end-to-end AML/CFT solution or just a single module from our range. We can help.
Trusted by Advanzia Bank & Vinted
Problems
we solve
Effective ML/TF risk assessment is essential to putting the right safeguards in place and focusing efforts on real threats – not false alarms. Automating assessments for both new and existing customers helps identify high-risk profiles, protect your business, and direct AML/CFT resources where they matter most.
Why AMLYZE?
Flexible risk logic
Import unlimited data and customise scoring workflows to reflect your unique risk model. Configure by customer, product, channel, geography – or any factor that matters to you.
Dynamic re-assessment
Continuously update risk profiles as customer behaviour or data changes. Spot emerging threats early and respond in real time.
Automation at scale
Automate scoring, re-scoring, and case creation on your terms. Prioritise high-risk cases instantly and reduce manual effort across your team.
Turn compliance into your edge.
Speak with an AML expert and see AMLYZE in action.
Let us know how we can help
Why get a demo?
It doesn’t matter whether you are interested in a complete end-to-end AML/CFT solution or just a single module from our range. We can help.
FAQ
ML/TF customer risk assessment helps you identify and manage the risk of money laundering and terrorist financing at the individual customer level. It’s a regulatory requirement and a critical part of any effective risk-based AML/CFT framework.
👉 You can read more about ML/TF risk assessment on our blog.
Not always. While most regulators allow flexibility in how you meet obligations, automation becomes essential for institutions with higher risk exposure or a growing customer base. It improves consistency, reduces human error, and scales better than manual methods.
AMLYZE dynamically adjusts risk scores based on changes in customer behaviour, transaction patterns, or profile updates. This helps you detect emerging risks in real time without relying solely on periodic reviews.
Yes. AMLYZE allows full configuration of your risk matrix – across customer, product, channel, and geography. You can tailor scoring rules, thresholds, and workflows to meet internal policies or regulatory expectations.
You can use both internal and external data – including KYC data, customer behaviour, transaction history, sanctions lists, PEP screenings, and negative media. AMLYZE supports unlimited data imports and real-time data feeds.
Customer, geography, product, and channel. AMLYZE gives you the tools to define and score each category based on your institution’s specific risk appetite and regulatory requirements.
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Not aligning customer-level risk scoring with enterprise-wide risk strategy
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Outdated or poorly weighted scoring matrices
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Lack of documentation or oversight for manual overrides
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No automated triggers for re-scoring when data changes
AMLYZE helps avoid these by combining automation with flexible controls.
If new information or behavioural patterns raise red flags, AMLYZE automatically re-scores the customer and flags high-risk profiles for review. You stay compliant – and always a step ahead.