{"id":35470,"date":"2026-09-11T15:23:07","date_gmt":"2026-09-11T15:23:07","guid":{"rendered":"https:\/\/www.complycube.com\/?p=35470"},"modified":"2026-09-11T15:50:08","modified_gmt":"2026-09-11T15:50:08","slug":"lacune-aml-dans-la-surveillance-fondee-sur-les-risques","status":"publish","type":"post","link":"https:\/\/www.complycube.com\/fr\/aml-gap-in-risk-based-monitoring\/","title":{"rendered":"Closing the AML Gap in Risk-Based Monitoring"},"content":{"rendered":"<div class=\"cc-block tldr\">\n<p><strong>TL;DR : <\/strong>Risk-based monitoring is a core principle in AML regulation. However, risk-based AML programs can be <strong>complex<\/strong> because they involve multiple components. This includes company policy, risk assessments, and documented methodologies spread across separate spreadsheets. Custom<strong> risk engine<\/strong> solutions can close the gap present in a legacy risk-based framework.<\/p>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">How Does Risk-Based Monitoring Work in AML?<\/h2>\n\n\n\n<p>Risk-based monitoring in Anti-Money Laundering (AML) directs compliance resources to customers, transactions, and activities that present higher money laundering or terrorist financing risk. Instead of putting every user through the same workflow, companies assess and route customers to the appropriate verification step based on the risk level.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"2560\" height=\"1443\" src=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/how-does-risk-based-monitoring-work-in-aml-.png\" alt=\"Image shows the process in risk-based monitoring frameworks. It starts from &quot;1. Access Risk Inputs,&quot; followed by &quot;2. Assess &amp; Route,&quot; and lastly, &quot;3. Apply right level of scrutiny.&quot;\" class=\"wp-image-35532\" srcset=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/how-does-risk-based-monitoring-work-in-aml-.png 2560w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/how-does-risk-based-monitoring-work-in-aml--300x169.png 300w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/how-does-risk-based-monitoring-work-in-aml--1024x577.png 1024w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/how-does-risk-based-monitoring-work-in-aml--768x433.png 768w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/how-does-risk-based-monitoring-work-in-aml--1536x866.png 1536w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/how-does-risk-based-monitoring-work-in-aml--2048x1154.png 2048w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/how-does-risk-based-monitoring-work-in-aml--18x10.png 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>There are typically four broad risk factors that compliance teams consider:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Customer and third-party risk:<\/strong>\u00a0The risks associated with customers and other parties.<\/li>\n\n\n\n<li><strong>Risque li\u00e9 aux produits et services\u00a0:&nbsp;<\/strong>The risks associated with the products and services a firm provides.<\/li>\n\n\n\n<li><strong>Risque li\u00e9 au canal de distribution\u00a0:<\/strong>&nbsp;Risks arising from how an organization delivers its products and services.<\/li>\n\n\n\n<li><strong>Geographic risk:<\/strong>\u00a0Risks associated with the jurisdictions connected to a customer or service.<\/li>\n<\/ul>\n\n\n\n<p>A practical risk-based monitoring framework usually includes Customer Due Diligence (CDD), ongoing monitoring, customer risk assessments, and Enhanced Due Diligence (EDD) when we find higher risks. A well-designed risk-based AML approach can improve the effectiveness of financial crime controls by focusing compliance resources where they are most needed.<\/p>\n\n\n\n<p>However, firms should not treat it as a one-time exercise. Customer risk can evolve as circumstances, transactions, ownership structures, or geographic exposure change, so continuous monitoring is necessary. The goal is not just to create alerts, but to detect and respond to potential risks effectively.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Risk Assessment vs Transaction Monitoring<\/h3>\n\n\n\n<p>It is critical to differentiate between customer risk assessment and transaction monitoring. Customer risk assessments consider a customer&#8217;s characteristics and activities to assess the level of financial crime risk they present. These risks determine the required levels of CDD, EDD, and ongoing monitoring. Transaction monitoring, by contrast, analyzes transactional activity against scenarios, thresholds, behavioral indicators, and other relevant signals. Compliance teams should integrate the two processes into an overall risk-based AML framework.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Regulatory Drivers Behind a Risk-Based Approach<\/h2>\n\n\n\n<p>Regulators rely on a risk-based approach as a fundamental principle of modern financial crime compliance. For instance, the <a href=\"https:\/\/www.fatf-gafi.org\/en\/publications\/Fatfrecommendations\/Guidance-rba-supervision.html\" target=\"_blank\" rel=\"noopener nofollow\">Financial Action Task Force (FATF) Recommendation 1<\/a> requires firms to identify, assess, and mitigate money laundering and terrorist financing risks proportionately.<\/p>\n\n\n\n<p>Risk-based monitoring can vary across regulatory agencies, but the direction is consistent:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Financial Crimes Enforcement Network (FinCEN):<\/strong>\u00a0In the US, financial institutions are recommended to implement a <a href=\"https:\/\/www.fincen.gov\/news\/news-releases\/fincen-proposes-rule-fundamentally-reform-financial-institution-programs\" target=\"_blank\" rel=\"noopener nofollow\">Approche fond\u00e9e sur le risque<\/a> to CDD, including understanding customer relationships and conducting ongoing monitoring to identify and report suspicious activity.<\/li>\n\n\n\n<li><strong>Financial Transactions and Reports Analysis Center of Canada (FINTRAC):&nbsp;<\/strong>Firms must <a href=\"https:\/\/fintrac-canafe.canada.ca\/businesses-entreprises\/assessment-evaluation-eng\" target=\"_blank\" rel=\"noopener nofollow\">assess<\/a> customer risk and apply enhanced measures to high-risk situations. This can include more frequent monitoring and updates to customer information.<\/li>\n\n\n\n<li><strong>Monetary Authority of Singapore (MAS):<\/strong>&nbsp;<a href=\"https:\/\/www.mas.gov.sg\/regulation\/anti-money-laundering\/ml-tf-pf-risk-assessments\" target=\"_blank\" rel=\"noopener nofollow\">Financial institutions<\/a> must conduct ongoing monitoring of business relationships and scrutinize transactions against their knowledge of the customer, with enhanced measures where higher risks are identified.<\/li>\n\n\n\n<li><strong>Financial Conduct Authority (FCA) and HM Treasury:&nbsp;<\/strong>Firms subject to the UK Money Laundering Regulations must conduct <a href=\"https:\/\/www.fca.org.uk\/publications\/finalised-guidance\/fg24-6-guidance-firms-enables-risk-based-approach-payments\" target=\"_blank\" rel=\"noopener nofollow\">\u00e9valuations des risques<\/a> and maintain policies, controls, and procedures proportionate to their money laundering and terrorist financing risks.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">The Consequences of Weak Risk-Based Monitoring<\/h2>\n\n\n\n<p>Regulators are increasingly assessing how effective risk-based monitoring is, not just whether a firm has an AML monitoring system. A weak risk-based framework can face unintended consequences. Compliance teams may become overwhelmed by false positives, genuine risks can slip through the cracks, and firms can face financial penalties.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"2560\" height=\"1443\" src=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/the-consequences-of-weak-risk-based-monitoring.png\" alt=\"Image shows a quote from ComplyCube's Solution Consultant, Milosh Caunhye around effective risk-based monitoring.\" class=\"wp-image-35513\" srcset=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/the-consequences-of-weak-risk-based-monitoring.png 2560w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/the-consequences-of-weak-risk-based-monitoring-300x169.png 300w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/the-consequences-of-weak-risk-based-monitoring-1024x577.png 1024w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/the-consequences-of-weak-risk-based-monitoring-768x433.png 768w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/the-consequences-of-weak-risk-based-monitoring-1536x866.png 1536w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/the-consequences-of-weak-risk-based-monitoring-2048x1154.png 2048w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/09\/the-consequences-of-weak-risk-based-monitoring-18x10.png 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>For example, in 2024, the UK FCA fined Metro Bank <a href=\"https:\/\/www.fca.org.uk\/news\/press-releases\/fca-fines-metro-bank-16m-financial-crime-failings\" target=\"_blank\" rel=\"noopener nofollow\">\u00a316.7 million<\/a> over failures relating to its automated transaction-monitoring system. The FCA said the bank failed to adequately monitor approximately 60 million transactions with a total value exceeding \u00a351 billion.&nbsp;<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Firms are expected to know their risk exposure.<\/p>\n<\/blockquote>\n\n\n\n<p>A control can be on paper and still ineffective. Solutions Consultant at ComplyCube, <a href=\"https:\/\/www.linkedin.com\/in\/milosh-caunhye\/\" target=\"_blank\" rel=\"noopener\">Milosh Caunhye<\/a> notes, \u201cThe expectation is that firms know what their risk exposure is, build their monitoring around that risk, and test to see if those controls actually work.&#8221;<\/p>\n\n\n<div class=\"cc-block case-study\">\n<h3><strong>\u00c9tude de cas\u00a0: Clients \u00e0 risque apr\u00e8s une int\u00e9gration r\u00e9ussie<\/strong><\/h3>\n<p data-pm-slice=\"1 1 []\">In July 2026, the Dutch central bank (DNB) fined CCV Netherlands B.V. <a href=\"https:\/\/www.complycube.com\/fr\/les-pays-bas-infligent-des-amendes-a-ccv-2-65m-pour-non-respect-des-normes-de-surveillance\/\">\u20ac2.65 million<\/a> for long-standing gaps in its AML infrastructure. According to DNB, CCV Bank has multiple deficiencies in its customer due diligence and transaction monitoring systems.<\/p>\n<h5 data-pm-slice=\"1 1 []\"><strong>The Blindspot in Monitoring Controls<\/strong><\/h5>\n<p data-pm-slice=\"1 1 []\">CCV did not properly load customer risk profiles for approximately 4,200 merchants into its monitoring system for 23 months. This case is relevant to risk-based monitoring as it highlights the importance of connecting customer risk information to the controls used to monitor activity.<\/p>\n<h5><strong>R\u00e9sultats<\/strong><\/h5>\n<ul>\n<li data-section-id=\"ott7b1\" data-start=\"1181\" data-end=\"1287\">Beyond the fine, CCV had to commit to a recovery plan to address its AML deficiencies.<\/li>\n<li data-section-id=\"ott7b1\" data-start=\"1181\" data-end=\"1287\">CCV also faced a higher penalty because of prior sanctions violations.<\/li>\n<li data-section-id=\"ott7b1\" data-start=\"1181\" data-end=\"1287\">Firms need to demonstrate that AML controls are not only documented, but effective in practice and responsive to changing risk.<\/li>\n<\/ul>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">Key Challenges in Executing Risk-Based Monitoring<\/h2>\n\n\n\n<p>For many organizations, the challenge is not defining a risk-based AML model. It is turning that model into a risk assessment that applies consistently. Compliance teams can spend a lot of time manually translating policies into risk scores, pulling data from different systems, and determining what the resulting risk rating means for the customer.<\/p>\n\n\n\n<p>The organization might document the risk-based monitoring methodology well. At the same time, the information required to apply those rules is dispersed across <a href=\"https:\/\/www.complycube.com\/fr\/solutions\/conformite-aux-exigences-de-diligence-raisonnable\/connaissez-votre-client\/\">Conna\u00eetre votre client (KYC)<\/a> systems, customer records, and external data providers. This creates a mismatch between the methodology approved and the risk assessment applied.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">This creates several repeated challenges:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Disconnected risk factors:&nbsp;<\/strong>An organization has its own risk appetite and internal customer risk methodology. However, many existing systems apply predefined scoring models. This means the final customer rating may not reflect the firm&#8217;s risk factors, weightings, and escalation rules.<\/li>\n\n\n\n<li><strong>Static risk-scoring:<\/strong>&nbsp;A customer&#8217;s risk rating can evolve as their information or exposure to money laundering risk materially changes. However, a risk score calculated during onboarding may remain the same unless the firm manually reviewed or recalculates it.<\/li>\n\n\n\n<li><strong>Inconsistent calculations: <\/strong>Compliance teams using spreadsheets and formulas to apply risk factors may interpret the same methodology differently or produce different outcomes.<\/li>\n\n\n\n<li><strong>Weak auditability:<\/strong>&nbsp;The best practice is to document all compliance decisions for regulatory reporting clearly. However, this requires firms to explain all factors, weightings, data, and methodology behind a decision. This also includes how that assessment changed over time.<\/li>\n\n\n\n<li><strong>Limitations in risk model:&nbsp;<\/strong>Changes to a firm&#8217;s risk appetite can trigger multiple updates across spreadsheets, workflows, and downstream processes. This can create additional work and increase the chance that new rules are implemented inconsistently.<\/li>\n<\/ul>\n\n\n\n<p>The gap is thus not a lack of data analytics or effective risk modeling. The organization must translate that methodology into a dynamic, explainable risk model that it can apply automatically, consistently, and at scale.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How Can a Custom Risk Engine Bridge the Risk Scoring Gap?<\/h2>\n\n\n\n<p>The solution does not necessarily lie in replacing an existing AML risk methodology. But often the bigger opportunity is to make that methodology easier to execute. A bespoke risk engine takes an organization\u2019s own risk policies and translates them into an automated, configurable risk-scoring model. <\/p>\n\n\n\n<p>Rather than maintaining calculations across spreadsheets and manually combining different sources of information, compliance teams can define the exact factors, weightings and thresholds that determine how customer risk is assessed and let the system apply the findings consistently. This can be particularly useful when an organization already uses established industry risk assessment approaches.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Common risk assessments:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Business-Wide Risk Assessment (BWRA):<\/strong>&nbsp;Identifies potential risk across products, jurisdictions, and delivery channels. It informs where controls and monitoring should be most sensitive.<\/li>\n\n\n\n<li><strong>Enterprise-Wide Risk Assessment (EWRA):&nbsp;<\/strong>A broader assessment that may be used by larger or more complex organizations to assess risk across business lines, entities, products, and jurisdictions.<\/li>\n\n\n\n<li><strong>Institutional Risk Assessment (IRA):&nbsp;<\/strong>Evaluates risk within individual business lines or units. For instance, a crypto business unit carries significantly different potential risk than a retail operation.<\/li>\n\n\n\n<li><strong>Customer Risk Assessment (CRA):&nbsp;<\/strong>Assesses risk for an individual using factors such as Politically Exposed Person (PEP) status and expected activity to determine the CDD route.<\/li>\n\n\n\n<li><strong>Risk Management and Compliance Program (RMCP):<\/strong>&nbsp;Brings together broader governance structure, including policies, internal controls, and staff used to manage the risks identified through these assessments.<\/li>\n<\/ul>\n\n\n\n<p>Ultimately the results of risk assessments must impact how individual customers are assessed and what level of due diligence they are subject to. A <a href=\"https:\/\/docs.complycube.com\/documentation\/product-guides\/due-diligence-tools\/risk-profile\">moteur de risque personnalis\u00e9<\/a> helps create that connection. The team translates business-level risk findings into customer-level factors, rules, and thresholds to ensure the organisation&#8217;s documented risk appetite is reflected in actual scoring decisions.<\/p>\n\n\n\n<p>Additionally, when relevant information changes, the engine re-evaluates customers and prevents risk ratings from being locked at onboarding. As such, the risk engine becomes the execution layer between an organization&#8217;s risk framework and its day-to-day compliance decisions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Importance of Governance in Risk-Based Monitoring<\/h2>\n\n\n\n<p>Technology is not a substitute for governance. Firms should continue to set their risk appetite, approve their methodology, test changes, monitor effectiveness, and review whether controls continue to reflect their financial crime risk. Therefore, a <a href=\"https:\/\/www.complycube.com\/fr\/solutions\/conformite-aux-exigences-de-diligence-raisonnable\/notation-des-risques\/moteur-de-risque-personnalise\/\">risk engine<\/a> must be an enabler of appropriate governance, validation, change management, and oversight, not a replacement.<\/p>\n\n\n\n<p>Firms must show:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Ownership:<\/strong>&nbsp;Who owns the risk methodology?<\/li>\n\n\n\n<li><strong>Approval:<\/strong>&nbsp;Who is responsible for approving changes to risk factors, weightings, thresholds and escalation rules?<\/li>\n\n\n\n<li><strong>Testing:<\/strong>&nbsp;How will changes be tested before implementation?<\/li>\n\n\n\n<li><strong>Validation:<\/strong>&nbsp;How does the firm ensure the methodology remains appropriate?<\/li>\n\n\n\n<li><strong>Data Quality:<\/strong>&nbsp;Are the inputs used to calculate risk accurate, complete, and current enough?<\/li>\n\n\n\n<li><strong>Change Management:&nbsp;<\/strong>Can the firm demonstrate when and why the methodology changed?<\/li>\n\n\n\n<li><strong>Oversight:<\/strong>&nbsp;Do the right functions review the risk outcomes and control performance?<\/li>\n\n\n\n<li><strong>Effectiveness:<\/strong>&nbsp;Does testing show that the controls are working as intended?<\/li>\n<\/ul>\n\n\n\n<p>This is particularly important where automated scoring influences CDD, EDD, monitoring intensity, or other compliance decisions. Consequently, automation should make the methodology more consistent and auditable, not less transparent.<\/p>\n\n\n<div class=\"cc-block key-takeaways\">\n<h3>Points cl\u00e9s \u00e0 retenir<\/h3>\n<ul>\n<li><strong>Surveillance fond\u00e9e sur les risques <\/strong>should reflect the firm&#8217;s actual risk profile, rather than generic models.<\/li>\n<li><strong>Manual spreadsheets <\/strong>and disconnected workflows can create critical AML implementation gaps.<\/li>\n<li><strong>Inconsistent scoring<\/strong>, outdated risk ratings, and weaker auditability are common consequences of weak monitoring.<\/li>\n<li><strong>Effective AML controls <\/strong>require more than documented policies to identify and manage financial crime risks.<\/li>\n<li><strong>ComplyCube&#8217;s custom risk <\/strong>engine can operationalize an organisation&#8217;s AML methodology consistently.<\/li>\n<\/ul>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">Strengthen Risk-Based AML Controls<\/h2>\n\n\n\n<p>Un <a href=\"https:\/\/www.complycube.com\/fr\/solutions\/conformite-aux-exigences-de-diligence-raisonnable\/lutte-contre-le-blanchiment-dargent\/\">AML framework<\/a> is only as good as its implementation. The challenge for compliance teams is to reflect their risk methodology consistently in the systems, decisions and controls used across the customer lifecycle. A configurable risk engine can help bridge that gap by taking an organization\u2019s approved methodology and turning it into a dynamic, explainable execution layer.<\/p>\n\n\n\n<p>With the right governance, testing, data controls, and ongoing reviews of effectiveness, this can help firms ensure their AML controls align with their actual financial crime risk. <a href=\"https:\/\/www.complycube.com\/fr\/contactez\/contacter-le-service-commercial\/\">Apprendre encore plus<\/a> about how you can build your own custom risk engine today.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/portal.complycube.com\/signup\"><img decoding=\"async\" width=\"1024\" height=\"577\" src=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/06\/start-a-conversation-with-complycube-about-cip.png\" alt=\"Banni\u00e8re bleue avec le logo ComplyCube et le slogan &#039;\u00a0Engagez la conversation d\u00e8s aujourd&#039;hui pour en savoir plus sur nos solutions.\u00a0&#039;\" class=\"wp-image-34392\" srcset=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/06\/start-a-conversation-with-complycube-about-cip.png 1024w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/06\/start-a-conversation-with-complycube-about-cip-300x169.png 300w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/06\/start-a-conversation-with-complycube-about-cip-768x433.png 768w, https:\/\/www.complycube.com\/wp-content\/uploads\/2026\/06\/start-a-conversation-with-complycube-about-cip-18x10.png 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<div class=\"cc-accordion\">\n<h2>Questions fr\u00e9quemment pos\u00e9es<\/h2>\n<details>\n<summary>How is risk-based AML monitoring different from rules-based monitoring?<\/summary>\n<p>Risk-based Anti-Money Laundering (AML) monitoring uses an organisation&#8217;s assessment of financial crime risk to determine the appropriate level and intensity of controls. However, rules-based monitoring uses predefined rules or scenarios to identify activity that meets specified conditions.<\/p>\n<\/details>\n<details>\n<summary>Can smaller financial institutions implement a custom risk engine?<\/summary>\n<p>Yes. Smaller financial institutions can adopt a custom risk engine solution to automate, scale, and manage risk methodologies effectively. This is particularly for regulated financial services that rely heavily on spreadsheets or have limited compliance headcount. These firms can benefit from a risk engine that applies the same factors, weightings, thresholds, and escalation rules consistently.<\/p>\n<\/details>\n<details>\n<summary>How often should we update our AML risk assessment?<\/summary>\n<p>An AML risk assessment has no universal update frequency that applies to every organisation and jurisdiction. Instead, regulators expect you to update it whenever there is a significant change in your organization&#8217;s financial crime risk. However, you should review it periodically to ensure it stays current and reflects current risks.<\/p>\n<\/details>\n<details>\n<summary>How do we measure whether our risk-based AML monitoring is effective?<\/summary>\n<p>To measure the effectiveness of your risk-based AML monitoring, useful metrics to track include false positives, time-to-detection for high-risk scenarios, and escalation outcomes. Businesses should shift away from measuring the number of alerts generated and focus on whether they can identify, investigate, and perform due diligence on meaningful risk.<\/p>\n<\/details>\n<details>\n<summary>Does ComplyCube offer custom risk engine solutions?<\/summary>\n<p>Yes. ComplyCube offers bespoke risk engine solutions to help businesses translate their AML risk methodology into an automated, scalable customer risk-scoring model. Firms can define their own risk guidelines, including scoring logic, weightings, and thresholds tailored to their AML framework rather than relying on a fixed vendor risk model.<\/p>\n<\/details>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Risk-based AML frameworks can become difficult to execute, especially across different spreadsheets and workflows. Discover how custom risk engines can transform documented methodologies into consistent, auditable risk decisions.<\/p>","protected":false},"author":27,"featured_media":35512,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[6],"tags":[10],"class_list":["post-35470","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-guides","tag-anti-money-laundering"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"A risk-based AML approach is critical for compliance. 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