Automate the Verification of Beneficial Ownership

Smoke and Mirrors: The Opaque Nature of Ownership

Identifying an organization’s true owner has always been the ultimate know-your-customer challenge, and legal frameworks governing the disclosure of ownership and control structures have long existed. However, recent global terrorist events and geopolitical instability have led to governments and regulators intensifying their efforts to root out financial support for criminal activity. Now more than ever, organizations need to know who really owns the businesses they deal with.

But even though the latest raft of global AML/CTF regulations and standards are widely based on the G20/OECD/FATF principles, there is little agreement on common thresholds, meaning that organizations have multiple beneficial ownership compliance regulations to manage. What’s more, they have created a problematic paradox. Despite the requirement for granular identification and verification intensifying, access to information is still limited. Information held in company registries, financial institutions, Trust and Company Service Providers (TCSP), regulatory bodies, or various authorities often contains unreliable or incomplete data. Worse still, many of these sources have limited or no access to offshore entities.

Even when public registries do exist, such as the UK’s “persons of significant control” (PSC) register, detailed information on ultimate beneficial owner (UBO) is very rarely included because it is not mandatory. Despite efforts by governments and regulators to increase transparency and disclosure, information on the UBO of offshore corporate vehicles will not be included in AML/CTF central registries.

Connecting the dots

While calculating UBO is relatively straightforward for a publicly listed company with direct shareholders,
it becomes more complex when ownership is obscured by layers of indirect ownership. Simply put, the legal title to a company may not be in the name of the person who actually controls it. It may even be in another company or trust usually located in a different jurisdiction, most commonly an offshore tax haven. For example, multi-level indirect shareholding (looping relationships) utilize legal corporate vehicles that enable organizations to create a loop in which they own holdings of other companies in the same loop, as well as potentially shares in themselves. By tallying the ownership percentage of each company, most but not all organizations in the loop will derive 100% of their ownership entirely from other companies (not individuals) in the loop. Where they don’t, the shortfall represents the percentage that the shareholder registry states are owned by individuals. These quoted percentages will be lower than what the individuals actually own and control if they’re the only people associated with the loop.

Such ownership structures present high levels of risk and, therefore, require greater scrutiny by compliance teams to demonstrate all reasonable measures as part of enhanced due diligence. What is clearly obvious is that applying a traditional resource-intensive manual approach and reliance on self-certification is no longer sustainable.

Companies need the ability to instantly calculate the actual ownership by accessing data that pulls together global corporate linkage and personal share ownership. By harnessing data analytics software to automate the identification and verification of beneficial ownership, organizations are able to beat the paradox and makes sense of the opaque nature of ownership.

Download the ebook to learn more about understanding Beneficial Ownership structures and the intricacies of ownership and control.

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