As regulatory expectations continue to rise, organisations need more than policy documents and best-practice checklists to stay compliant — they need real-world intelligence. To help compliance leaders strengthen their AML Compliance frameworks, Doorda is launching a new Money Laundering Penalty Dataset, designed to reveal where HMRC enforcement actually happens and where businesses are most exposed.

This newly released dataset includes 2,208 penalties issued to 1,721 companies, covering 69 different AML-related breaches and penalty amounts ranging from £500 to £1.49 million . It provides the kind of insight traditional compliance tools simply cannot match.

For organisations serious about reducing enforcement risk — and proving compliance to regulators — this dataset is a strategic advantage.

Why This Dataset Matters for AML Compliance

Regulators are becoming increasingly proactive in identifying AML weaknesses. Yet many organisations still struggle to see where risk is creeping in, often relying on outdated or incomplete information. This dataset changes that by shining a light on real enforcement patterns, helping teams build stronger protections before issues arise.

• Spotting hidden compliance gaps: The dataset reveals that 92.8% of all penalties involve Regulation 56 — failure to register. This trend shows how many organisations overlook basic oversight obligations. With this insight, compliance teams can immediately assess whether their own registration workflows are watertight.
• Strengthening onboarding and due diligence: A customer, partner or supplier with a history of AML penalties represents elevated risk. Incorporating this dataset into due-diligence workflows gives organisations a competitive edge in identifying high-risk partners before onboarding begins.
• Prioritising resources where they matter most: Enforcement patterns help compliance leaders decide where to invest time, training and monitoring. Rather than spreading resources thinly, teams can focus on the processes regulators scrutinise most.
• Making internal controls more effective: Internal audits and monitoring activities become far more targeted when based on real-world failure patterns. This dataset helps organisations detect weaknesses early — before they become costly problems.
• Improving staff training: Using actual penalty cases brings AML training to life. Staff better understand the risks, consequences and regulatory expectations when given real examples rather than abstract rules.

Key Insights from the Dataset

Source: Doorda Money Laundering Penalty Dataset

How You Can Use This Dataset Today

This dataset is built for practical, immediate use within AML compliance programmes. Organisations can use it to:

• Strengthen AML Compliance frameworks using enforcement-backed insights
• Enhance KYC and KYB checks with historical penalty intelligence
• Improve supplier and partner screening
• Identify sectors or regions at greatest risk
• Build risk models driven by actual regulator behaviour
• Support audits and regulatory reporting
• Make faster, evidence-based compliance decisions

For teams responsible for protecting the organisation against financial crime, this dataset is an essential resource.

Part of a Much Larger Compliance Intelligence Ecosystem

Crucially, this is not a standalone product — it is one of many datasets Doorda offers for compliance checks, due diligence and risk management.
When combined with Doorda’s company profiles, location intelligence, sector risk data and beneficial ownership information, it forms a comprehensive platform for:

• Continuous AML Compliance & monitoring
• Enhanced due diligence
• Third-party risk assessments
• Proactive regulatory compliance
• Fraud and financial crime prevention

Doorda brings these datasets together in a unified environment so compliance teams can move from reactive investigations to proactive risk intelligence.

Why You Should Explore This Dataset Now

Regulators are raising expectations. Enforcement levels are rising. And compliance teams are under pressure to validate decisions with defensible, data-driven evidence.

This dataset gives organisations the opportunity to stay ahead — not just compliant, but confident.

Whether you’re a financial institution, regulated business or technology provider building compliance products, access to this data helps you:

• Reduce enforcement risk
• Improve due diligence accuracy
• Strengthen AML controls
• Demonstrate compliance maturity