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This article is part of our Opinions section, where we invite industry professionals to share their views on the most pressing technology questions of our time.
At the point of onboarding a new client, most fintechs capture exactly what regulators expect on paper: ID documents, corporate records, details on beneficial owners, and the basics needed to meet Know Your Customer (KYC) and Know Your Business (KYB) compliance requirements.
The problem is what happens next – or more accurately, what often doesn’t.
That data, gathered when a commercial relationship is first established, is often collected, verified, and then filed away, only to be left untouched, while customers evolve, structures change, and new financial crime risks quietly emerge. Months or years can go by without updates while people move, companies change hands, new shareholders come in, or individuals become politically exposed.
When Anti-Money Laundering (AML) compliance decisions and risk assessments continue to rely on that original snapshot, firms are left exposed. Not because they’ve ignored regulations, but because they’ve built risk frameworks around information that no longer reflects reality.
So, if your compliance programme is relying on who your customer was instead of who they are now, how confident can you be that you’re truly staying compliant and not inadvertently facilitating financial crime?
When fintechs (and, indeed, any regulated firms) rely on static onboarding data for both individual customers and corporate entities, they create blind spots that leave them vulnerable to emerging risks.
The information collected at the start of the relationship is just a snapshot frozen in time, but customers and corporate structures constantly evolve. Names get changed, people move countries, and sometimes they become politically exposed or end up on sanction lists well after your first check. Corporate clients present an even more complicated picture. Ownership structures can change, new directors can take control, and beneficial owners can come and go without anyone noticing.
These changes can conceal criminal activity, allowing fraud, money laundering, and other financial crimes to slip through unnoticed. Without continuous monitoring of customer risk profiles, firms risk overlooking these subtle but critical red flags, leaving themselves vulnerable to severe compliance breaches and hefty regulatory penalties.
Take the FCA’s £21 million fine against Monzo in July, the Final Notice issued to the London-based fintech shared how the company struggled to maintain accurate and reliable customer information, failing to ensure its customer base stayed within its defined risk appetite for this very reason.
When the information you hold about your clients isn’t kept up to date, the picture of who your customer actually is becomes blurry, making it difficult to accurately assess risk or respond promptly to emerging threats.
As a result, your compliance programme becomes effectively blind to important shifts in customer risk, making it nearly impossible to identify when a seemingly low-risk client transforms into a potential financial crime threat.
The traditional approach of conducting a full customer review every 12 or 24 months might have worked in the past, but regulators now expect more. Fixed, periodic reviews no longer align with the standards set by global regulators, who now demand continuous, real-time vigilance to effectively manage and mitigate financial crime risks.
The Financial Action Task Force (FATF), which sets international standards for AML, explicitly says ongoing monitoring is a must. Their recommendations state that firms should “ensure that documents, data or information collected under the customer due diligence (CDD) process is kept up-to-date and relevant by undertaking reviews of existing records, particularly for higher-risk categories of customers.”
Financial crime won’t wait for your next scheduled review. It is opportunistic, fast-moving, and thrives on gaps in your AML controls. If you’re only refreshing customer data once a year, your view of risk is outdated for most of that time. This delay not only means suspicious activity can slip through unnoticed for months or even longer, but also puts your business at greater risk of regulatory breaches, reputational damage, and costly consequences that could have been avoided with a more proactive approach.
Without a more dynamic approach to monitoring customer changes, your compliance team ends up reacting to problems as they happen, instead of preventing them. This reactive stance also creates operational challenges as compliance professionals try to mitigate risk using data that’s no longer accurate or relevant, undermining their ability to protect their firms, their customers, and the financial system at large from bad actors.
Manual reviews of KYC and KYB information, which, too many firms still rely on, are inherently time-consuming and become increasingly difficult to manage as fintechs scale their operations. Compliance teams are left combing through documents, verifying identities, mapping ownership structures, and cross-referencing disconnected data sources, all while trying to meet ever-changing regulatory standards.
This hands-on, resource-heavy approach slows down onboarding, drains internal capacity, and leaves too much room for human error at precisely the moments where accuracy matters most.
As customer volumes grow, the process becomes harder to manage, stretching teams beyond capacity and increasing the likelihood of errors and missed risks. Onboarding timelines drag, customers lose patience, and money laundering red flags can slip through the cracks.
The solution lies in moving away from static, one-off checks and embracing a more continuous, automated approach to monitoring changes to customer risk profiles. By integrating technology that regularly updates and verifies customer data in real time, fintechs can maintain a far more accurate, up-to-date understanding of who their customers are today, not just who they were at onboarding
Automation tools can detect and flag critical changes in real-time. Whether it’s a newly added beneficial owner, a fresh match on a sanctions list, emerging adverse media, or a change in a customer’s PEP status. With these timely alerts, compliance teams can prioritise their efforts, focus on the highest-risk cases, and respond swiftly to emerging threats before they escalate. This level of proactive monitoring turns compliance from a reactive administrative chore into a strategic advantage, helping fintechs not only meet but exceed regulatory expectations.
In an industry where trust is everything and the cost of getting it wrong can be catastrophic. Evolving AML compliance processes beyond static data is no longer optional; it is imperative. The firms that succeed will be those that see compliance as an ongoing, living process, powered by technology and designed to keep pace with their customers, their risks, and the world around them.
