For many compliance teams currently navigating their FATCA and CRS reporting cycle, the pattern is all too familiar. What should be a controlled, repeatable process instead becomes an annual scramble — data being extracted from multiple systems, classifications still under review, and issues surfacing just as deadlines begin to bear down.
According to Label, teams find themselves chasing missing information, resolving inconsistencies, and racing to reach a point where submission is even viable.
Label recently discussed why firms’ FATCA and CRS reporting remediation never ends and how to break the cycle.
The difficulties do not tend to arrive neatly, one at a time — they accumulate. Gaps in customer data are commonplace: controlling persons are missing entirely in some cases, while others have additional controlling persons recorded without any clear justification. Tax identification numbers are incomplete, incorrectly formatted, or absent. Address fields contain values that do not correspond to real locations, and dates of birth raise obvious questions about the integrity of the underlying data. None of this comes as a surprise, but all of it still requires resolution under considerable pressure.
Classification compounds the challenge further. FATCA and CRS outcomes can contradict each other, demanding manual review. Inconsistencies between W forms and CRS self-certifications resist straightforward resolution. Some customers appear with multiple tax residencies that do not reflect any coherent profile; others have no tax residency recorded in the jurisdiction indicated by their address. And crucially, a portion of these issues is not even new — they are carryover from the previous cycle, where problems were addressed just enough to clear submission but never properly fixed. Overlaid on all of this is the question of whether any change in circumstances has occurred that should now be reflected in the reporting.
The processes used to manage this complexity frequently make it harder still. Many organisations continue to rely heavily on spreadsheets, with layers of manual logic applied across fragmented data sources. Where additional tools have been introduced, they typically operate alongside existing processes rather than replacing them — adding to the complexity rather than reducing it. Newer technologies may accelerate certain steps, but they are still working from the same underlying data and still require validation. The overall result is a process that becomes progressively harder to control, with limited visibility and little confidence in the final output.
Why the cycle persists
The reason remediation never truly ends comes down to where the focus falls. The priority is clearing the reporting deadline, which means fixing issues at the point of output rather than at source. Data is corrected for submission, classifications are adjusted where required, and files are brought into an acceptable state. But the underlying conditions remain unchanged. The same data quality issues persist, the same logic is reapplied, and the same gaps in control carry forward. When the next reporting cycle begins, the same problems return.
This approach carries a significant operational cost. It creates dependency on specific individuals who hold institutional knowledge of the workarounds, adds pressure to timelines that are already tight, and introduces risk into a process where regulatory expectations are only increasing. As data quality standards rise, these weaknesses become more visible to regulators. The approach also makes scaling across jurisdictions difficult, since each additional requirement amplifies the existing structural problems.
A more sustainable path forward
Breaking this cycle requires a fundamentally different model. Rather than relying on late-stage fixes, the focus must shift to preventing issues from arising. That means embedding validation at the point of data capture, applying consistent and auditable logic to classification decisions, and managing exceptions through a structured framework that provides genuine visibility and control. It also means that issues identified during a given cycle are fully resolved — not just patched — so they do not resurface twelve months later.
Most organisations already have a clear sense of where the problems lie. The challenge is moving from awareness to a sustainable fix. A more controlled approach to FATCA and CRS reporting brings data quality, classification, and reporting together in a single framework, reducing dependence on manual intervention and enabling a more predictable outcome year on year.
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