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Anti Money Laundering in Governance Risk and Compliance Dataset (Publication Date: 2024/01)

Anti Money Laundering in Governance Risk and Compliance Dataset (Publication Date: 2024/01)

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What does the Anti Money Laundering in Governance Risk and Compliance Dataset include?

The Anti Money Laundering in Governance Risk and Compliance Dataset includes 1535 prioritised self-assessment requirements across 45 AML maturity domains, delivered in Excel and CSV formats with integrated scoring rubrics, benchmarking data, and remediation roadmap templates. It covers all core AML controls aligned with FATF Recommendations and global regulatory standards, enabling comprehensive gap analysis and compliance validation for financial institutions and regulated entities.

Are you exposing your organisation to regulatory fines, reputational damage, and operational disruption by failing to rigorously assess your Anti-Money Laundering controls within Governance, Risk, and Compliance frameworks? Without a structured, up-to-date self-assessment dataset grounded in global standards like FATF Recommendations, ISO 37001, and AML/CFT regulatory requirements, critical gaps in due diligence, transaction monitoring, and suspicious activity reporting can go undetected, until auditors or regulators uncover them. The Anti Money Laundering in Governance Risk and Compliance Dataset delivers a comprehensive, analysis-ready self-assessment framework with 1535 prioritised requirements across 45 maturity domains, enabling you to rapidly evaluate, benchmark, and strengthen your AML programme with confidence and precision.

What You Receive

  • 1535 structured self-assessment questions mapped across 45 AML maturity domains including customer due diligence, beneficial ownership verification, risk-based segmentation, sanctions screening, and suspicious transaction reporting, each question designed to expose control deficiencies and compliance drift in under 10 minutes per domain
  • Full alignment with FATF Recommendation 10, 11, 15, and 16, EU 6AMLD, and Basel III AML guidance, ensuring your assessment meets international regulatory benchmarks and audit expectations
  • Excel and CSV-formatted datasets with pre-built scoring logic, risk weighting, and gap analysis matrices, enabling automated scoring, trend analysis, and reporting to senior management or compliance committees
  • 45-domain maturity model with five-level scoring rubrics (Initial to Optimised) per domain, allowing you to visualise progress, prioritise remediation, and justify investment in AML controls
  • Benchmarking reference data from 2023, 2024 financial sector assessments, giving you comparative insights into peer performance and regulatory expectations
  • Remediation roadmap templates with action triggers based on scoring thresholds, so you can convert assessment results into targeted, time-bound improvement plans
  • Instant digital download access to all files, no waiting, no onboarding, no third-party dependencies; begin your assessment within minutes of purchase

How This Helps You

This dataset enables you to transform an often reactive, checklist-driven compliance process into a proactive, data-led AML assurance programme. By systematically evaluating 1535 control points across your GRC environment, you can detect high-risk vulnerabilities in know-your-customer (KYC) processes, internal reporting lines, and monitoring systems before they result in regulatory penalties or financial crime incidents. Organisations that skip rigorous self-assessment face an average 38% higher likelihood of enforcement action, with global AML fines exceeding $5 billion annually. With this dataset, you gain the ability to prove compliance readiness during audits, support certification efforts, and demonstrate to boards and regulators that your AML framework is not just compliant, but resilient. Every hour not spent assessing is an hour spent exposed, this tool cuts assessment time by up to 70% while increasing coverage and accuracy.

Who Is This For?

  • Compliance Managers needing to conduct annual AML control reviews and prepare for internal or external audits
  • Financial Crime Risk Officers responsible for validating the effectiveness of transaction monitoring rules and alert investigation workflows
  • Internal Auditors seeking an objective, standardised benchmark to assess AML programme maturity across business units
  • Chief Compliance Officers (CCOs) requiring data-driven dashboards and executive summaries to report to boards and regulators
  • Consultants and GRC Advisors building client-specific AML assessments or supporting remediation projects
  • Regulated Institutions in banking, fintech, asset management, and payment services required to meet periodic AML review obligations

Choosing this dataset isn’t just about meeting compliance requirements, it’s about taking control of your organisation’s risk posture with precision, speed, and authority. As financial crime evolves, so must your ability to detect and respond. This is the most current, comprehensive, and practical AML self-assessment dataset available for professionals committed to operational excellence in GRC.

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