Under Know-Your-Customer (KYC) regulatory requirements, banks and other financial institutions are expected to periodically review and refresh relevant information they hold on their customers. This goes beyond the initial Customer Due Diligence (CDD) carried out within the initial onboarding phase as institutions must monitor clients on an ongoing basis and maintain their records.
Financial services firms have been looking for many years to improve efficiency in this space, looking towards a data led approach and automation to reduce costs. For many, this has been a slow process, with many other programs taking priority due to cost or resource limitations.
Despite the numerous challenges a large institution faces when attempting to overhaul its processes, the benefits can be huge.
Ongoing monitoring often takes the form of periodic reviews - the frequency of which is determined by the initial view of risk during onboarding. Periodic reviews can be cumbersome, a drain on resources and not always a good experience for the customer.
With greater focus being placed on truly understanding a customer and their behaviours, especially in the light of recent data leaks, news headlines, and cross-border activity, even the likes of continuous KYC under CDD, hasn’t provided enough to plug the gaps and meet heightened expectations.
Automation, data and perpetual KYC are key in helping to accelerate the due diligence process and minimise the gaps, leading to faster onboarding, reduced exposure to risk, and increased resilience.
Perpetual KYC or pKYC is a process that responds to changes as soon as they are made, rather than a time-based review of information. It is proactive rather than reactive, which means its ongoing approach to due diligence is dynamic refreshed based in response to key triggering events.
Sustainable and successful perpetual KYC requires investment in data quality, KYC standards, and cultural buy-in from senior management.
The foundation of due diligence is "knowing your customer" – only with that knowledge can you asses if a pattern looks odd or not.
Finance arguably owns more insight than any other group. You have a deep, familial intimacy with corporate controls, systems and technology, budgets, customer behavior, resource requirements, processes and organisational goals. Your first move is the data break. The balls will scatter, and your job is to pick stripes or solids and get them into the appropriate pockets. Your customer data will likely be just as disordered and overwhelming, but segmentation is the pool shark business leader's strategy to get there.
Periodic reviews can be laborious to carry out. They also allow for windows of change, where criminal activity can stay under the radar for long periods of time. Even continuous CDD and KYC remediation – whereby firms frequently update customer data and profiles – can miss key changes in behavior and activity, masking the gaps
The benefits of perpetual KYC over periodic review are in two key areas:
The right data and alerts can surface information more readily and automatically via perpetual methods, and in turn, help in understanding client risk impacts on the institution.
There are some foundational elements that must be in place to achieve perpetual KYC and higher levels of automation in CDD. It is easy to overlook these, so being informed and prepared to address them before starting will help for a successful transition:
A best practice when creating a perpetual KYC programme with automation is to consider updates and monitoring are included by design, rather than being an afterthought. Institutions should think about the data they capture while onboarding and how that can be monitored automatically and maintained. This may mean re-engineering parts that are too manual or not using structured data. If thought about as part of the foundational steps like data strategy, policy, or workflow, it will be much easier to move into monitoring and adjudication.
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