In early 2023, we identified three operational challenges that were defining the private equity landscape: the difficulty of interpreting Limited Partnership Agreements accurately, the operational risks of relying on Excel for complex calculations, and the persistent problem of retaining key personnel. That original post remains available on our website, and its core arguments have not dated.
What has changed is the context around those challenges. Private equity in 2026 is operating under different conditions to those of 2023. The industry has grown in scale and sophistication. LP expectations have risen. Regulatory requirements have broadened. And a wave of AI-enabled tooling has entered the market, promising to solve old problems while, in some cases, creating new ones.
This post revisits the three original challenges through a 2026 lens, and adds a fourth that has emerged as one of the most pressing operational issues the industry now faces: the growing weight of LP reporting and transparency demands.
Challenge 1: LPA Interpretation – More Complex, Higher Stakes
The complexity of Limited Partnership Agreements was already a serious operational challenge in 2023. Three years on, the problem has deepened rather than eased.
Why LPAs are harder to interpret than ever
The typical LPA has grown more complex with each new fundraising cycle. Side letters (bespoke agreements that modify standard fund terms for individual investors) have proliferated. Each side letter introduces unique provisions that must be tracked, reconciled, and applied accurately across every distribution calculation and reporting cycle. The fund that cannot manage this complexity cleanly is the fund that generates LP disputes.
Beyond side letters, the industry has seen a structural shift in LP engagement. Investors are no longer passive capital providers. They are active counterparties who scrutinise carried interest structures, fee calculations, clawback provisions, and governance rights with increasing rigour. Key-man clauses, enhanced alignment provisions, and performance-linked terms are now standard in new fund agreements. Each of these provisions must be interpreted correctly before any distribution can be validated and the interpretation must be defensible, not just plausible.
The continuation fund problem
Continuation vehicles have become a significant part of the private equity landscape. While they solve a real liquidity problem, they introduce a new layer of interpretive complexity. The economics of a continuation fund must be reconciled against the original LPA, existing LP rights must be respected or renegotiated, and the GP’s conflicts of interest must be disclosed and managed. The operational burden on fund administration is substantial.
LPA interpretation has never been a simple task. In 2026, it is a multi-layered operational discipline that requires dedicated tooling, institutional knowledge, and a documented methodology.
Challenge 2: The Excel Problem Has Not Gone Away, it Has Just Changed Shape
In 2023, we wrote about the risks of relying on Excel for private markets data management and calculation. The case against Excel was already well-established: version control failures, formula errors, the absence of an audit trail, and the concentration of critical knowledge in individual spreadsheet owners.
The good news is that awareness of these risks has grown. More firms have moved key workflows onto purpose-built platforms. The less welcome news is that a new version of the same problem has emerged in its place.
AI-generated tools: the new Excel
The rise of generative AI has produced a new category of operational risk that closely mirrors the Excel problem. Firms are now looking into building internal tools (waterfall calculators, reporting dashboards, capital call trackers) using AI coding assistants, often without formal software development processes, version control, or documentation.
The structural risks are almost identical to those of a complex Excel model. The tool is comprehensible only to the person who built it. It has not been stress-tested against the full range of LPA structures and edge cases that production-grade financial software encounters over years of real-world use. It lacks an audit trail. And it carries key-person risk: when the person who built it leaves, the firm is left with a black box it cannot interrogate or maintain.
Excel was the original bespoke financial tool in private markets. AI-assisted builds are repeating the same mistake at greater speed. The prototype feels like the product. The audit trail feels like a later problem. By the time the LP asks for one, it is too late to build it retrospectively.
What production-grade looks like
The alternative to both Excel models and AI-generated tools is not necessarily more expensive or more complex. It is purpose-built software that has been validated against the operational reality of private markets: hundreds of LPA structures, multiple jurisdictions, edge cases that only emerge after years of production use.
qashqade is SOC 2 certified, which means its security, availability, and processing integrity have been independently verified. That certification is the output of a rigorous external audit. Additionally, qashqade’s MCP layer makes trusted qashqade data accessible through the AI tools one may already be using. No internal Excel model or AI-generated tool can offer equivalent assurance.
Challenge 3: Talent Retention – The Problem Beneath the Problem
The talent challenge in private equity operations has always been about more than compensation. The 2023 post identified the core issue: key personnel hold critical institutional knowledge about fund structures, LPA provisions, and operational processes. When they leave they take that knowledge with them.
Three years on, this challenge has developed two additional dimensions worth examining in detail.
LP scrutiny now extends to people and process continuity
LPs have become more sophisticated in how they evaluate GPs during fundraising. It is no longer sufficient to demonstrate a strong track record. LPs increasingly require evidence of continuity, that the people and processes responsible for prior success remain in place. Key-man provisions, once a relatively rare protective mechanism, are now standard in new fund agreements.
This means that talent attrition in the operations function now carries a direct fundraising consequence. A team that cannot demonstrate stable, documented processes because its processes live in the heads of individuals or in undocumented spreadsheets, is a team that will struggle to satisfy LP due diligence.
The knowledge concentration risk of AI-assisted operations
There is a specific variant of key-person risk emerging in firms that have adopted AI tools for operational tasks. When a bespoke system or workflow is built by a small number of individuals using AI coding assistants, the institutional knowledge of how that system works is even more concentrated than in a traditional Excel model. Documentation is often absent because the speed of development makes it feel optional. The result is a system that may function adequately while its creator is in place, and that becomes essentially unmaintainable the moment they leave.
Talent retention in private markets operations has always been about preserving knowledge, not just preserving headcount. In 2026, the risk is that the systems that leavers built cannot be understood or maintained by anyone else.
Reducing operational dependency on individuals
The most effective mitigation for key-person risk in operations is systematisation: replacing individual knowledge with documented, auditable, platform-enforced processes. When waterfall calculations are executed by a validated platform rather than a spreadsheet, the result is not dependent on who runs the model. When LPA terms are encoded in a system rather than interpreted from memory, the accuracy of a distribution is not dependent on who happens to be in post. This is the operational logic behind platform adoption in private markets, and it is a logic that becomes more compelling as LP due diligence standards rise.
Challenge 4: LP Reporting Demands Have Become an Operational Discipline in Their Own Right
This challenge did not feature in our 2023 post, because while LP reporting was always important, it was not yet the defining operational pressure it has become. In 2026, it is.
The shift from periodic to continuous
The days of the static quarterly report delivered 45 days after period-end are, for institutional LPs, effectively over. Sophisticated investors now expect near-real-time access to portfolio data, NAV calculations, and performance metrics. This expectation has been driven partly by technology (LPs have seen what is possible) and partly by the market environment. With geopolitical instability high, secondary market activity increasing, and holding periods lengthening, LPs need current data to make decisions about their own portfolios. GPs who cannot provide it are not just inconveniencing their investors; they are losing ground in LP due diligence conversations.
Reporting as a fundraising signal
The quality of a GP’s reporting infrastructure is now itself an indicator in LP due diligence. Prospective investors assess reporting capability directly: how data is structured, how quickly it is delivered, how clearly it communicates fund performance and risk. A GP that reports well is signaling operational maturity. A GP that reports slowly or inconsistently is raising questions about the reliability of their processes.
The regulatory dimension
Reporting obligations are not only driven by LP expectations. The regulatory environment for private fund managers has become significantly more demanding in recent years. They require operational infrastructure that most internally built systems cannot demonstrate.
Where This Leaves Private Equity Operations in 2026
The three challenges we identified in 2023 (LPA interpretation, operational tool risk, and talent retention) have not been resolved. They have intensified, and in some cases acquired new dimensions that were not visible three years ago. The AI-assisted build wave has introduced a new variant of the Excel problem. LP scrutiny of team continuity has sharpened the talent risk. And LP reporting demands have grown from a periodic administrative task into a continuous operational and reputational obligation.
The thread connecting all four challenges is the same one it has always been: the gap between the complexity of private markets operations and the adequacy of the tools being used to manage them. That gap can be closed by systematic investment in purpose-built, validated, auditable technology.
