AI/ML-Powered Transaction Monitoring

Traditional risk assessments often find it difficult to contend with varying customer profiles and evolving crime tactics. Qkvin's data-driven transaction monitoring tackles this issue by minimising false positives, freeing up resources for strategic risk analysis and ensuring scalable AML compliance through hidden pattern detection, prioritised investigations, automated alerts, and streamlined reporting. Qkvin enables a holistic risk assessment across business units, designing controls for specific profiles, customer bases, and geographic footprints.

Reduced exposure to financial crime: Identify and prevent suspicious transactions before they occur.

Improved operational efficiency: Streamline monitoring processes and free up resources for other tasks.

Enhanced regulatory compliance: Stay ahead of evolving regulations and demonstrate strong AML controls.

AI/ML-Powered Transaction Monitoring

Key Pillars

Proactive Risk Oversight

Qkvin leverages AI/ML to detect transaction anomalies and streamline operations. In addition to this, advanced algorithms provide real-time risk monitoring, empowering businesses to proactively address threats, ensure better compliance, and safeguard against fraudulent activities.

Seamless Integrations

Qkvin's user-friendly interface and seamless integration simplify the incorporation of AI/ML-powered KYB, allowing businesses to adapt quickly without extensive training or system overhauls. Qkvin can integrate with internal and external systems to help provide real-time insights across the entire client lifecycle.

Guided Workflows

Pre-defined configurable workflows that guide compliance teams through key steps, explaining processes, minimising confusion and securely sharing of relevant data between authorised parties. This eliminates information silos and promotes coordinated communication, enhancing efficiency and reducing misunderstandings in addition to equipping new members with the tools to thrive.

Feature Showcase

Qkvin continuously monitors for changes from customers or integrated data sources and screening to identify any potential impact on the client's risk profile. Through automated real-time or scheduled transaction data refresh and tailored monitoring rules, Qkvin helps monitor risk exposure in real-time.

Real-Time Transaction Feeds

Automated risk assessments harness the power of automation and AI to uncover hidden risks. Our intelligent algorithms analyse massive volumes of transaction data in real time, evaluate the risk profiles to detect hidden patterns, and uncover anomalies and suspicious behaviour, empowering organisations to make informed decisions.

Automated Risk Assessments

Receive real-time notifications for potential suspicious activity and trigger pre-defined responses for immediate risk mitigation. Our risk-based approach highlights high-risk activities and allows businesses to focus resources more efficiently.

Real-Time Alerts

Qkvin's customisable workflows adapt to your unique needs, streamlining case management and ensuring a frictionless experience for everyone. Eliminate confusion through clear instructions, automated notifications, and intuitive interfaces. Integrate seamlessly with existing systems for a unified view of the client journey. Qkvin delivers actionable insights from real-time data to continuously improve onboarding processes and exceed client expectations.

Guided Workflows

Generate comprehensive reports and automate regulatory filings to ensure seamless compliance with global AML regulations.

Suspicious Activity Reporting

Navigating the web of ownership structures is a critical yet challenging element of KYC/AML compliance. Our entity hierarchy feature helps untangle the network of interconnected companies and individuals through a clear and intuitive visual interface, identifying ultimate beneficial owners (UBOs) with ease and drilling down into individual entities. It will help you uncover potential red flags and hidden connections that manual investigations might miss.

Entity Hierarchies