More than a decade since FATCA and CRS were introduced, fund administrators have become the operational backbone of investor tax compliance across global fund structures.
Yet despite the regulatory frameworks being well understood, delivering them at scale continues to present challenges that are both practical and frequently underestimated.
This was a topic of discussion from RegTech firm Label, who recently discussed the topic of modernising FATCA and CRS compliance for fund administrators.
For most administrators, the challenge is no longer one of regulatory interpretation. It is about managing the sheer volume and movement of investor documentation and tax data across multiple clients, jurisdictions and reporting obligations — all within operating models that have grown incrementally, rather than being designed for the scale they are now expected to support.
Compounding this, administrators operate in a structure where compliance responsibility ultimately rests with the fund or its manager. Even where processes are fully outsourced, there remains a continuous need to evidence data quality, reconcile outputs and respond to fund or client-driven validation requests. This creates a persistent layer of operational pressure that sits alongside core delivery.
Across the industry, many compliance frameworks continue to rely on spreadsheets, manual review processes and internally developed tools. These approaches can function under controlled conditions, but become progressively harder to manage as volumes grow and reporting timelines tighten. Scaling is often achieved through additional headcount, and reporting cycles routinely involve remediation and coordination that have quietly become accepted as the norm rather than recognised as a structural problem.
The operational reality
Within a fund administrator, FATCA and CRS compliance is not a single workflow but a continuous process spanning onboarding, documentation management, data maintenance and reporting. Investor tax information is collected, reviewed, interpreted and ultimately reported across multiple systems that rarely operate as part of a unified data model.
As a result, the same investor information can exist in different forms depending on where it is held, making consistency one of the most time-consuming aspects of the process. Operational teams spend considerable time reconciling differences between internal records, fund data and reporting outputs — not because the underlying data is necessarily wrong, but because it has been captured or interpreted differently at each stage.
Much of the effort therefore sits in managing the interaction between systems and stakeholders, responding to data queries and ensuring that what is reported reflects a version of the data that all parties can agree on, particularly as reporting alignment becomes more immediate.
The limits of manual operating models
Historically, many fund administrators have scaled through people rather than integrated infrastructure, absorbing additional volume by growing team size rather than fundamentally rethinking how processes are executed. This approach offers flexibility but introduces reliance on manual workflows, spreadsheet tracking and disconnected tools that were never designed to operate at scale.
Where data is rekeyed and documentation manually reviewed, inconsistency increases — and the cumulative effect across large investor populations can be significant. Over time, this produces a cost structure directly tied to volume and complexity, making it difficult to scale efficiently without increasing operational expenditure. These limitations tend to become most visible during periods of peak activity, when volumes surge and timelines compress simultaneously.
The administrator–fund dynamic
Fund administrators execute much of the compliance process, but accountability ultimately sits with the fund or its manager. This creates a dynamic in which administrators must not only deliver processes but also support continuous validation, oversight and reconciliation.
Funds require visibility into underlying data and confidence in how it has been managed, generating ongoing requests for data extracts, reconciliations and supporting evidence. This creates a feedback loop in which data is shared, reviewed and sometimes reworked — often resulting in duplicated effort across both administrator and fund. It also creates tension between service expectations and the cost of delivery, as increasing oversight demands additional operational effort without improving the efficiency of the underlying process.
Reporting pressure and structural inefficiency
These challenges become most visible during reporting periods, when the need to finalise data, resolve issues and produce accurate submissions converges within a short window. What may have been manageable throughout the year becomes a concentrated effort, with teams working to close documentation gaps and align datasets across systems. Even minor inconsistencies require investigation under time pressure, often involving multiple stakeholders.
For many administrators, this results in a level of operational intensity driven by remediation, escalation and manual intervention — not because the process is fundamentally broken, but because the structure of the operating model makes it difficult to keep data aligned throughout the year. At scale, this concentrates cost into reporting periods and amplifies inefficiencies already embedded in the model.
A shift towards scalable operating models
A clear shift is emerging towards operating models that are less dependent on manual intervention and more focused on managing tax data as a structured asset. This means treating investor tax information as data rather than documentation, maintaining consistency across onboarding, monitoring and reporting, and enabling validation at the point of collection rather than retrospectively.
When data is captured and maintained consistently, the need for reconciliation reduces — not because it is managed more efficiently, but because the conditions that create it are addressed earlier in the process.
Technology and competitive advantage
Technology is increasingly becoming the foundation of the operating model, and administrators making this shift are seeing tangible outcomes. As manual processes are reduced, scale becomes less dependent on headcount, allowing administrators to absorb higher volumes of investor data and reporting obligations without a proportional increase in resource. Structured, consistently maintained data also enables faster responses to fund and client requirements, improving both responsiveness and service quality.
The ability to adapt to volume fluctuations also changes. Periods of increased activity no longer create the same level of operational strain, resulting in a more stable and predictable delivery model.
The impact on cost is equally significant. Traditional models are heavily driven by manual effort and rework, making them expensive to deliver at scale. When these dependencies are reduced, the cost profile changes structurally — allowing administrators to improve margins while simultaneously delivering services more efficiently. This creates a clear competitive advantage: administrators with modernised operating models can offer a higher-quality, more consistent and more responsive service at a lower cost base, establishing a position that is difficult to replicate within traditional models.
Conclusion
FATCA and CRS compliance within fund administration has evolved significantly, but much of the underlying infrastructure has not kept pace with the scale and expectations now required. What many administrators experience today is not simply the challenge of meeting reporting obligations, but the cumulative effect of operating models built on manual processes, fragmented systems and continuous reconciliation between multiple stakeholders.
As volumes grow and timelines remain fixed, these approaches become increasingly difficult to sustain.
The shift underway is not about incremental improvement — it is about rethinking how investor tax data is managed across the full lifecycle. Administrators moving towards more integrated, technology-led models are beginning to operate under fundamentally different constraints, improving efficiency, reducing cost and enhancing service delivery.
The direction of travel is clear. The opportunity is not simply to improve existing processes, but to establish an operating model designed to scale.
Find the full Label post here.
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