Cross-border expansion is no longer a strategic milestone. It is an operating condition.

Europe is no longer just a fundraising opportunity for U.S. private markets managers. It is becoming a structural part of how capital is raised. But entering Europe changes more than investor geography. It introduces parallel regulatory regimes, distributed governance, and new reporting expectations that reshape the operating model.

This article explores what actually changes when managers operate across jurisdictions, where complexity emerges, and why execution, not access, is now the differentiator. It examines how data, reporting, and governance can fragment at scale, and what leading managers are doing to operate as a single, coherent platform across regions.

From expansion to operating reality

For U.S. private markets managers, Europe has become a structural component of fundraising strategy. After a period of contraction, global private capital fundraising stabilized at approximately $1.3 trillion in 2025 (Bain & Company), but capital formation remains more selective and uneven across strategies.

Domestic LP pools are no longer sufficient to absorb new allocations at prior levels. Distributions have slowed, allocation pacing has tightened, and even established managers are increasingly looking beyond the U.S for capital.

Europe presents a deep and diversified investor base. However, expansion into European markets introduces a fundamentally different operating environment.

What changes is not only where capital is sourced, but the expectations attached to it.

European institutional investors typically operate within more formalized regulatory frameworks, with heightened scrutiny on governance, reporting consistency, and data transparency. Industry surveys indicate that over 70% of institutional LPs prioritize more frequent and granular reporting—raising the operational bar for managers operating across jurisdictions.

As a result, cross-border expansion is no longer just a distribution challenge. It is an operating one.

Access is established. Execution is the constraint.

Market entry pathways into Europe are becoming more understood.

• Reverse solicitation remains limited and opportunistic in practice
• National Private Placement Regimes (NPPRs) provide partial and jurisdiction-specific access
• Luxembourg structures enable EU marketing passporting under AIFMD

In response, Luxembourg has become the default structuring hub for non-European managers seeking systematic access to European capital.

It offers:

• EU-wide marketing passporting across the European Economic Area
• Growing appetite as a jurisdiction of choice for Asian investors
• A well-established regulatory framework under AIFMD
• Depth of service providers and operational infrastructure

This is reflected in market behavior. According to ALFI, U.S.-originated funds held over €1.2 trillion in Luxembourg as of 2025, more than any other jurisdiction.

Establishing a Luxembourg structure introduces parallel operating requirements alongside existing U.S. models—creating a multi-layered operating environment rather than a replacement of one system with another.

Where complexity actually manifests

Cross-border complexity does not emerge at the strategy level. It emerges in the operating model.

Three fault lines consistently appear:

1. Fragmented service providers and data environments

Fund, entity, and regulatory data are distributed across administrators, AIFMs, and internal systems—often structured differently by jurisdiction.

The consequence is not simply inefficiency, but the absence of a single, consistent view of performance and risk.

2. Parallel reporting frameworks

U.S. and European reporting regimes—SEC, AIFMD, Annex IV—operate independently, with differing timelines, formats, and levels of granularity.

Firms do not transition between frameworks. They run them concurrently.

This introduces duplication, reconciliation challenges, and increased risk of inconsistency.

3. Diffused governance structures

In the U.S., control is largely centralized within the GP.

In Europe, governance extends across the AIFM, fund boards, and delegated service providers. Oversight becomes distributed across entities and jurisdictions.

Without clear alignment, firms introduce decision latency, duplicated controls, and fragmented accountability.

The compounding effect: operational drag at scale

Individually, these challenges are manageable. At scale, they compound.

• Data must be reconciled across multiple sources before decisions can be made
• Vendor management and coordination requires additional resources
• Reporting becomes a coordination process rather than a controlled output
• Portfolio insights are delayed or inconsistent across jurisdictions

The impact is not limited to operational efficiency.

In practice, these gaps shape how managers are evaluated by LPs. Inconsistent reporting, fragmented data, and diffused governance raise questions around control, transparency, and institutional readiness, particularly in cross-border structures.

In a more competitive fundraising environment, this has direct consequences. It affects a manager’s ability to raise capital, retain investor confidence, and scale strategies across jurisdictions without friction.

What begins as structural expansion can, if not addressed, become a constraint on growth.

From structure to operating model

Leading managers are shifting from a structure-led approach to an operating model-led approach.

They recognize that success in Europe is not determined by where the fund is domiciled, but by how the platform operates across jurisdictions.

This requires deliberate design:

• Integrated data architecture spanning funds, entities, and service providers
• Aligned reporting frameworks that reconcile U.S. and European requirements
• Clear governance models defining accountability across the GP, AIFM, and third parties
• Operational consistency that scales with the platform

The objective is not simplification. It is coherence.

Operational intelligence as the differentiator

The most advanced managers are not attempting to reduce complexity. They are building the capability to manage it—systematically.

In practice, this requires more than coordination across jurisdictions. It requires an operating model that is designed for multi-entity, multi-regime execution from the outset.

That means:

• Establishing a single data architecture across jurisdictions, funds, entities, and service providers—rather than reconciling fragmented views after the fact
• Embedding reporting consistency across U.S. and European frameworks, instead of managing them as parallel processes
• Defining clear governance and accountability models across the GP, AIFM, and delegated providers
• Creating operational workflows that scale across jurisdictions without duplication
• Minimizing the number of vendor relationships involved in servicing a fund

Firms that achieve this do not eliminate complexity. They control it.

This is where operational intelligence becomes a practical capability—not a concept.

It enables managers to maintain a consistent view of performance and risk, respond to increasingly detailed LP expectations, and scale without proportionate increases in operational cost.

Conclusion: execution defines outcomes

Access to European capital is now part of life. The infrastructure exists, and the pathways are well established.

The differentiator now lies in execution.

For many managers, entering new markets is a challenge, but operating across them with consistency becomes even more challenging. Cross-border strategies introduce structural and regulatory complexity, but it is the operating model that determines whether that complexity is controlled or compounded.

This is where outcomes begin to diverge.

Firms that treat expansion as a structuring exercise often encounter fragmentation as they scale—across data, reporting, and governance. Over time, this limits visibility, slows decision-making, and undermines confidence at the LP level.

By contrast, firms that design their operating model around multi-jurisdictional execution from the outset—aligning data, reporting, and oversight—are better positioned to scale with control, maintain consistency, and meet increasing investor expectations.

This is not a secondary consideration — it is a defining one.

Managers that treat expansion as a structuring exercise often introduce fragmentation across data, reporting, and governance. Those that design their operating model for multi-jurisdiction execution scale with greater control, consistency, and transparency.

In my recent whitepaper on the Operating Intelligence – A New Opportunity for Investors, I explored a structural challenge emerging across private markets: as firms scale, their data, governance and operational infrastructure often fail to scale with them.

That paper focused on the nature of the issue — the limits of legacy operating models.

But stepping back as CEO, I believe the implications run deeper still. The problem is not simply operational inefficiency. It is becoming a strategic fault line.

So here is a broader perspective on what operating intelligence now means for leadership, resilience and competitive differentiation in the next phase of private markets.

Over the past decade, the industry has matured at extraordinary speed. Firms have expanded across strategies, geographies and products. LP expectations have risen. Regulatory scrutiny has increased. And the pace of decision-making has accelerated.

Yet behind the performance, many operating models still look remarkably familiar.

For too long, the operational layer of private markets has been treated as a necessary function. Something to manage. Something to outsource. Something to keep running in the background.

This paradigm is coming to an end. As private markets scale, operating models are no longer a back-office concern. They are becoming a strategic advantage.

Complexity is not new. The consequences are.

Private markets have always been complex. Cross-border structures. Multiple entities. Different reporting requirements. Unique fund terms. Asset-level nuance.

What has changed is the scale at which that complexity now operates.

Many firms are running more funds, across more strategies, with more portfolio companies and more investors than ever before. They are expected to deliver faster reporting, deeper transparency, and stronger governance.

And they are doing this while operating in a world where data is everywhere, but insight is not.

The result is simple: private markets firms are being asked to make faster decisions, with greater confidence, across a much more complex environment.

The real challenge is coherence

Most firms don’t have a shortage of information.

They have too many systems, too many workflows, and too many disconnected sources of truth.

Information exists across fund accounting, portfolio reporting, investor communications, loan administration, and multiple third-party platforms. But too often it is fragmented, delayed, and difficult to connect.

In practice, that means teams spend time reconciling rather than understanding. Reviewing rather than anticipating. Explaining rather than acting.

And crucially, it means insight can arrive too late to influence the decisions that matter most. This is not a technology issue alone. It is an operating model issue.

Fund administration is evolving

Fund administration has historically been defined by execution.

Accurate books. Timely closes. Reliable reporting. Strong controls. Professional service. Those fundamentals remain non-negotiable.

But today, what firms need from their operating partners is expanding.

They need visibility across their business, their funds and their portfolios – delivered with speed and accessibility.

They need insight that reflects how they actually invest. Insight that aligns with their strategy, their structures and their competitive strengths.

They need operating models that support decision-making, not just reporting.

They need earlier signals. Less reconciliation. More forward-looking clarity. This is where fund administration begins to shift from service delivery to operating intelligence

Intelligence is not a dashboard

When we talk about intelligence, we do not mean another portal or another layer of generic reporting.

We mean something more fundamental: the ability to bring together data, workflows, and expertise into a single coherent operating view.

True intelligence identifies exceptions early, reduces friction, and delivers insight at the exact point where decisions are made – tailored to a firm’s strategy, risk appetite, and investment approach.

That means a firm’s intellectual property must be embedded in the insights themselves. And critically, intelligence combines technology with human expertise to strengthen governance, reduce risk, and support scale.

This is not a shift driven by fashion. It is driven by necessity.

A new role for operating partners

As the industry evolves, the relationship between GPs and service providers must evolve too.

The future belongs to operating partners, not transactional vendors.

Partners who understand the realities of private markets. Who can deliver consistently across strategies and geographies. Who can help simplify what can be simplified, standardize what must be standardized, and build trusted foundations beneath every process.

And who can use modern technology to help firms operate with greater clarity, confidence, and resilience.

What comes next

Private markets firms will continue to grow. Complexity will continue to increase. Expectations will continue to rise.

The firms that thrive will be those that build operating models designed for what comes next.

Operating models that support decision-making, not just reporting. Operating models that reduce risk, not just process it. Operating models that scale without breaking.

At Alter Domus, we believe fund administration is becoming something bigger: the operating infrastructure of private markets.  A crucial source of data and insights to drive value for investors

And our responsibility is to help our clients shape that future.

Not by adding noise. But by bringing clarity.

Not by replacing expertise. But by amplifying it.

Not by offering more tools. But by building a better operating model.

Because in the next era of private markets, performance will always matter. Expectations will rise.

For us as fund administrators, the bar is rising even more.  Great service and a relentless focus on delivering new sources of value will matter even more. 

The scale shift reshaping private markets

Change is sweeping through the private markets industry. Fundraising is concentrating into fewer hands. Manager consolidation is running at all-time highs. Regulatory and reporting demands are intensifying. The need for speed and access to data will continuously increase. 

These shifting market dynamics are forcing GPs to reappraise how they remain relevant and competitive.

Success in private markets has always been grounded in investment intelligence – the ability of a manager to map markets, source proprietary deal flow, conduct due diligence on assets and establish a valuation. If a manager bought the right asset at the right price, the rest would take care of itself. GPs have invested in their firms accordingly, sticking to the proven formula for success: grow the front office deal team, secure new deals, and keep operations lean.

But while this model has served managers well for years, the asset class has reached a size and complexity where operational intelligence should start to complement exceptional investment intelligence.  A virtuous circle of real time outcomes informing real time decisions. Technology and data in place of manual brute force.  

The operating intelligence gap

Today’s private markets industry is operating on a totally different scale to 20 years ago. Alternative assets under management (AUM) have grown from US$3.1 trillion in 2008 to more than US$16.7 trillion in 2024, according to Preqin, and are forecast to reach US$30 trillion by 2030.

Growth in AUM has meant more data for GPs to manage, across more funds and more strategies. Operating models that sufficed in the 2000s (and characterized by fragmented systems and service providers) are no longer fit for purpose.

Managers that used to engage with LP clients almost exclusively through 10-year, closed-ended commingled funds now offer investors separately managed accounts (SMAs), co-investments and sidecar arrangements. The emergence of the non-institutional investor channel, accessed through evergreen and feeder fund structures, brings added layers of complexity, but can’t be ignored, with Pitchbook forecasting that in the US alone evergreen assets will more than double by the end of the decade to reach north of US$1 trillion.

Simultaneously, there has also been a step-change in LP expectations around the detail and frequency of GP reporting. Investors are seeking timely, credible information that enables them to manage liquidity and assess private markets performance relative to other asset classes in real time.

Operations teams built to service quarterly reporting cycles with backward-looking performance reviews will have to evolve if their firms are to meet the expectations of investors.

GPs will have to respond by upgrading their operational intelligence capability – and not only to cope with greater transaction volume, but also greater complexity.  Recent technological innovations, notably AI, mean the industry’s time for change is now. 

It is time to gear up for sustained investment in technology: a flexible, cloud-based infrastructure; best-of-breed tools across all asset classes and processes; functionality and analytics layered over software; AI models and agents that accelerate and sustain workflows and security by design. 

Let’s build for a world where GPs and LPs will access fund administrators’ data and insights directly, through data exchanges, via machine-to-machine connectivity and APIs.  The need for speed and flexibility will only increase. 

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From fund administrator to operating partner

Fund administration provision was also fragmented by jurisdiction, service line and asset class. Providers played to their strengths and stuck to their niches. GPs did see benefit in best-of-breed expertise, but as fund sizes grew and managers branched out into more jurisdictions and investment strategies, fund administrator relationships morphed into a messy patchwork of myriad relationships that became more difficult for GPs to control as their organizations sought scale.

GPs are now actively looking for opportunities to consolidate their relationships and work with outsourcers who can provide a full basket of services that straddle asset classes and geographies. A recent Alter Domus survey showed that 60% of GPs already preferred bundled services, with this proportion expected to climb to 70% in the three-to-five-year period following the initial survey.

The upshot for fund administration is that the industry must change to reflect the change in its GP client base.

In the future, the fund administration industry will be comprised of fewer, but larger firms, that have the bandwidth to cover all of a manager’s operating requirements, as opposed to the old industry model of fragmented service providers operating in their own data and service-line siloes.

This will demand a reappraisal of how service providers think about themselves and make a shift from serving as arms-length fund administrators doing the mundane back-office work on the GP’s behalf, into embedded operating partners who work closely with managers to provide operational intelligence that informs how GPs should grow and invest.

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Deepening relationships

Operating partners will become integral to how firms are run and the data they depend on to invest. This is a serious undertaking for both parties, who will have to work closely on technology integration and share responsibility for governance.

Operating partners will also be expected to be at the forefront of regulatory, technology and investor relations trends, and to leverage their global networks, in-house technology expertise and financial reporting knowledge to provide their clients with a single operating view across all of their investment strategies, LP relationships and fund structures.

For GPs these partnerships will extend beyond a helping hand with administrative tasks and back-office housekeeping.

The data and analysis operating partners produce will be what managers count on when seeking insight and making decisions. GPs will no longer choose services from a menu of options provided by service providers but will seek out operating partners who understand what GPs are trying to achieve, and how to facilitate it.

It will be down to the operating partner to accelerate reporting timelines, identify underperforming assets earlier, empower risk and investment committees with insight, and give managers a foundation allowing them to scale without their operations splintering.

A model for the future

For me, this is no longer a debate about modernization. It is about competitiveness.

As private markets continue to scale and consolidate, operational strength will increasingly determine strategic freedom — the ability to launch new structures quickly, enter new jurisdictions with confidence, integrate acquisitions effectively, and provide investors with clarity in real time.

At Alter Domus, we are building our business around that reality.

We partner with managers at every stage of scale — from global multi-strategy platforms navigating complexity across asset classes and jurisdictions, to high-growth firms building the operational foundations for their next phase of expansion. The operating intelligence challenge looks different at each stage, but the imperative is the same: operations must enable ambition, not constrain it.

We are reshaping our operating model to connect data across asset classes and geographies, accelerate reporting cycles, and enable insight to move at the pace of decision-making. We are investing in automation and AI to reduce friction and deliver portfolio-level visibility that supports both governance and growth.

But this evolution is not about systems alone. It is about partnership.

The managers who will succeed in the next decade will be those who treat operations as a strategic capability – and who choose operating partners prepared to scale with them.

The operating intelligence gap can be closed.

We are ready to lead – and ready to partner.