On the surface, FATCA and CRS compliance appears to be working. Deadlines are being met, frameworks are understood, and processes are in place across most private capital and investment management firms. But look more closely at day-to-day operations and a more pressured picture emerges.
Compliance teams continue to spend considerable time collecting documentation, validating investor data and reconciling inconsistencies across disconnected systems. According to RegTech firm Label, the core issue is not regulatory knowledge — it is the way compliance frameworks have been built operationally, and why so many are struggling to scale.
Fragmented data at the root of the problem
In most organisations, investor tax data does not exist as a single coherent dataset. It is spread across onboarding platforms, fund administrators, internal systems and external reporting providers, each holding its own version of investor records and classifications. While each component may function adequately in isolation, the combined effect creates significant fragmentation, Label said.
Data is duplicated, interpreted inconsistently across environments, and only consolidated when reporting deadlines approach — meaning teams spend more time reconciling data than actively managing compliance.
Remediation cycles that refuse to go away
Label highlights recurring remediation cycles as one of the clearest symptoms of this fragmentation. Documentation gaps, classification errors and data inconsistencies routinely surface in the weeks before reporting submissions are due, prompting teams to undertake investor outreach and cross-system reconciliations that have quietly become an accepted part of the annual calendar.
These exercises are not routine housekeeping — they are a signal that the underlying data architecture is not functioning effectively. Where documentation is validated at onboarding and tax data maintained consistently throughout the investor lifecycle, the majority of these issues can be caught and resolved far earlier.
Legacy infrastructure under growing strain
Many compliance frameworks in use today were built over a decade ago, designed primarily to meet new regulatory obligations quickly. That urgency produced operating models reliant on manual workflows and external providers. Since then, investor populations have grown larger and more global, fund structures more complex, and reporting obligations more expansive. The infrastructure, however, has not always kept pace — leaving firms managing programmes that are increasingly difficult to run without adding significant operational effort.
A shift towards structured tax data and hybrid models
What is emerging across the industry, Label notes, is a more fundamental rethink of programme design. Firms are beginning to treat investor tax data as a structured, consistently maintained dataset throughout the investor lifecycle, rather than managing documentation, data and reporting as separate workstreams. Reporting becomes a direct output of a well-governed dataset rather than a last-minute reconciliation exercise.
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