Insights

Explore expert insights on AI, Predictive Analytics, financial crime prevention and regulatory compliance. Our articles cover key topics including AML, KYC, sanctions screening, and emerging technologies - offering strategic perspectives, practical guidance, and thought leadership for organisations navigating an evolving risk and regulatory landscape with the help of the latest technology solutions.

Exploring the intersection of intelligence, regulation, and technology in a changing world.

Best Practices for Real-Time Risk Profiling and Personalised Risk Scoring

Best Practices for Real-Time Risk Profiling and Personalised Risk Scoring

In today’s volatile compliance landscape, static risk assessments fall short. Real-time profiling and personalised scoring enable organisations to evaluate customer risk as it evolves — leveraging behavioural data, transaction monitoring, and AI to identify threats before they escalate. This article unpacks how dynamic scoring frameworks empower smarter decisions, improve compliance, and protect organisational integrity in real time.

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Customer Screening & Due Diligence: Quantifying the Value, Qualifying the Risk
AI, KYC, Financial Crime Prevention Michael Kemsley AI, KYC, Financial Crime Prevention Michael Kemsley

Customer Screening & Due Diligence: Quantifying the Value, Qualifying the Risk

In an era of heightened regulatory scrutiny and sophisticated financial crime, businesses can no longer afford to view customer screening and due diligence as mere compliance checkboxes. These processes are now strategic imperatives—critical tools for managing risk, protecting reputation, and driving sustainable growth. This article explores how organisations can build a compelling business case for customer due diligence, combining both qualitative and quantitative approaches to identify high-risk clients, ensure regulatory alignment, and uncover actionable insights into customer behaviour. With the right investment in technology and methodology, due diligence transforms from a regulatory burden into a competitive advantage.

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Mandatory or Optional? Understanding When to Apply Enhanced Due Diligence in Sanctions Compliance
AI, AML, KYC, Financial Crime Prevention Michael Kemsley AI, AML, KYC, Financial Crime Prevention Michael Kemsley

Mandatory or Optional? Understanding When to Apply Enhanced Due Diligence in Sanctions Compliance

Enhanced Due Diligence (EDD) plays a pivotal role in sanctions compliance, but knowing when it becomes mandatory versus when it's an optional safeguard can make the difference between regulatory resilience and reputational risk. This article demystifies the regulatory triggers—such as PEPs, high-risk jurisdictions, and complex ownership structures—and outlines how financial institutions can strategically combine EDD with sanction screening for more effective risk mitigation. Drawing on best practices, legal obligations, and real-world case studies, it offers actionable guidance for compliance professionals navigating today’s complex financial crime landscape.

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What Are the Key Challenges in PEP Screening and How Can They Be Solved
KYC, AML, Financial Crime Prevention Michael Kemsley KYC, AML, Financial Crime Prevention Michael Kemsley

What Are the Key Challenges in PEP Screening and How Can They Be Solved

Politically Exposed Person (PEP) screening is a critical pillar of anti-money laundering (AML) compliance—but it’s also one of the most complex and misunderstood areas. From high false positive rates to inconsistent global definitions and difficulties identifying close associates, the challenges can overwhelm even experienced compliance teams. This article breaks down the real risks in PEP screening and provides actionable solutions, including how to leverage advanced technology, enhance KYC processes, and implement a risk-based approach that reduces manual workload while ensuring full regulatory alignment.

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How Behavioural Analysis Enhances Transaction Monitoring
AML, AI, Predictive Analytics, Financial Crime Prevention Michael Kemsley AML, AI, Predictive Analytics, Financial Crime Prevention Michael Kemsley

How Behavioural Analysis Enhances Transaction Monitoring

Behavioural analysis is redefining transaction monitoring by detecting subtle anomalies in customer activity that rule-based systems often miss. By understanding behavioural patterns, financial institutions can dramatically improve fraud detection accuracy, reduce false positives, and build dynamic risk profiles. This article explores how AI-powered behavioural analysis strengthens AML efforts, enhances real-time monitoring, and supports compliance with evolving regulations like PSD2 and FATF guidance. Learn how leading banks are using it to proactively identify threats and improve operational efficiency.

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Fraud Monitoring: Comprehensive Guide to Detection and Prevention
Financial Crime Prevention, AI, AML Michael Kemsley Financial Crime Prevention, AI, AML Michael Kemsley

Fraud Monitoring: Comprehensive Guide to Detection and Prevention

As digital transactions surge, so do opportunities for fraud. Businesses must stay ahead with intelligent fraud monitoring systems that detect and prevent threats in real time. This guide explores the foundations of fraud monitoring—unpacking how technologies like AI, machine learning, and behavioural analytics power smarter detection. From stopping authorised push payment fraud to reducing false positives and meeting evolving regulatory demands, we break down what organisations need to know to future-proof their fraud defences and protect customer trust.

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How Predictive Analytics Is Transforming Fraud Detection
AI, Financial Crime Prevention, Predictive Analytics Michael Kemsley AI, Financial Crime Prevention, Predictive Analytics Michael Kemsley

How Predictive Analytics Is Transforming Fraud Detection

Traditional fraud detection methods can no longer keep up with modern, adaptive fraud tactics. Predictive analytics offers a proactive solution, allowing businesses to detect fraud patterns in real time, reduce false positives, and safeguard valuable data. By harnessing machine learning and data-driven insights, companies can shift from reactive responses to efficient, preventative fraud detection, saving time, resources, and maintaining customer trust.

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The Transformative Power of Behaviour Profiling for Fraud Prevention and Customer Engagement

The Transformative Power of Behaviour Profiling for Fraud Prevention and Customer Engagement

Behaviour Profiling transforms fraud prevention in Financial Services. We look at how this advanced approach balances risk, enhances customer engagement, and streamlines operational costs. Proposing the imperative role of behaviour profiling in upholding the integrity of the financial system.

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