For most banks, understanding FATCA and the Common Reporting Standard (CRS) is no longer the challenge. The regulatory requirements are well established, and compliance teams have long since internalised what is expected of them.
According to Label, the problem now sits elsewhere — in the operational machinery that institutions have built to meet those requirements at scale, and in whether that machinery is fit for the volume and complexity it now faces.
This is especially acute for large retail and commercial banks, where customer tax data is not a fixed dataset but a living one. It shifts constantly — collected across dozens of touchpoints, altered by lifecycle events, and subject to ongoing changes in customer circumstance.
Label recently discussed why FATCA and CRS compliance is becoming a structural problem for banks.
For these institutions, maintaining accuracy is not a matter of running periodic checks. It demands something closer to real-time data management, and most current models are not built for that.
A structural problem, not a data collection one
A common assumption within the industry is that FATCA and CRS compliance failures stem from incomplete data collection. In practice, the problem runs deeper. Banks are generally collecting the right data — the difficulty is that it arrives through multiple channels, is validated inconsistently, and is not kept current at the rate it changes.
At scale, even marginal rates of inconsistency carry serious consequences. A one to two per cent error rate across a large customer base translates into thousands of individual exceptions, each requiring follow-up, validation and resolution. Over time, the focus of compliance operations shifts away from maintaining quality and towards managing the fallout of problems that should never have emerged in the first place.
Remediation has become the model, not the exception
What has evolved across many institutions is not a system that prevents compliance failures, but one that absorbs them. Annual outreach campaigns, bulk documentation requests and large-scale data reconciliation exercises have become standard practice ahead of reporting deadlines, often supported by external providers. They get the job done. But they do not fix what is causing the job to be necessary.
The result is a cycle in which issues surface late, are resolved in bulk, and then reappear twelve months later. Remediation has ceased to be a temporary measure and has become a permanent feature of the compliance calendar, with costs stabilising at an elevated level rather than declining as institutional knowledge grows.
Cost and complexity grow together
What makes this model particularly unsustainable is that it does not scale efficiently. As customer volumes grow, so do exception volumes. Response rates to outreach campaigns decline. Operational effort increases. And as mass mailings and static documentation forms remain the primary means of customer engagement, the experience for clients deteriorates — generating low engagement and repeated follow-ups that consume further resource.
The compliance landscape is also not standing still. The ongoing expansion of CRS, alongside the arrival of new regimes such as the Crypto-Asset Reporting Framework (CARF), will increase both the volume and complexity of data that banks are required to manage. In environments where existing operating models are already struggling to maintain consistency, additional regulatory requirements are likely to compound existing inefficiencies rather than prompt their resolution.
A shift in how compliance is delivered
What is beginning to emerge among leading institutions is not simply improved tooling, but a more fundamental rethink of how FATCA and CRS compliance functions operationally. Rather than relying on remediation after the fact, some banks are moving towards validating data at the point of customer interaction, monitoring changes in real time, and gathering information through digital, integrated customer journeys.
In these models, compliance becomes continuous rather than cyclical. Reporting is no longer a deadline-driven exercise built on retrospective data correction — it becomes a direct output of an underlying data infrastructure that is maintained throughout the year.
The case for rethinking the operating model
Applying more resource to a remediation-based model is unlikely to deliver materially better results. The issues are structural, and structural problems require structural responses.
The opportunity for banks is not simply to adopt new technology, but to reconsider how customer tax data is collected, validated and sustained across the full customer lifecycle — building a compliance function that does not depend on fixing problems after they have already occurred.
Read the full Label post here.
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