When I joined Instinct six months ago, I expected there to be a steep learning curve. Coming from an International Relations background with no previous experience in finance or technology, I knew there would be plenty to learn. What I didn't anticipate was just how much of that learning would begin with understanding an endless stream of acronyms. PRIIPs, KIDs, UCITS, ETFs, MMFs, AUM, NAV, ISINs, SFDR, ESG... before long, conversations sounded less like English and more like an entirely different language.
Every acronym represents something important: a regulation, a fund structure, a reporting requirement, a performance measure or an operational process. As I've started to understand what sits behind them, I've also started to appreciate how much work is involved in producing information that, from the outside, can appear relatively simple.
That contrast is what has interested me most. For the investor receiving a factsheet or report, the expectation is that the information is clear, accurate and easy to understand. For the people responsible for producing it, there can be a considerable amount of complexity sitting behind that final document. The question, then, is where that complexity should sit: with the person trying to produce and consume the information, or with the technology designed to manage it.
That distinction has changed the way I think about reporting, and about the role Instinct can play in making the experience considerably simpler for both sides.
When Acronyms Become Operational Challenges
The acronyms are only the visible part of the problem. The real challenge is everything that sits behind them.
A KID, for example, is not simply another document to produce. It needs to be populated with the right data, validated, reviewed, approved and distributed, and often within tight reporting deadlines. The same underlying information may also feed NAV calculations, AUM reporting, fund factsheets, investor communications and regulatory disclosures. When that process is repeated across multiple funds, jurisdictions, share classes and reporting cycles, the risk and operational burden quickly adds up.
For firms still relying heavily on spreadsheets and manual processes, even relatively straightforward reporting can become a time-consuming exercise. Teams are often pulling information from multiple sources and manually recreating outputs that ultimately depend on the same underlying data.
The issue is compounded by the fact that marketing, reporting, operations and compliance teams may all be working with the same information, but in different systems and for different purposes. Without a consistent data foundation, that creates duplication, reconciliation work and more opportunities for errors to make their way into client or regulatory reporting.
The result is that reporting complexity is no longer just an administrative issue. It has become an operational one - consuming valuable team capacity while increasing the risk that inconsistent or outdated information reaches investors.
Turning Complexity into Clarity
The objective is not to eliminate complexity from private assets. Much of it is inherent to the structure of the market, the regulatory environment and the range of stakeholders involved. The challenge is to manage that complexity without allowing it to translate into fragmented processes, inconsistent data or a poor investor experience.
A single set of underlying fund data can support a wide range of downstream requirements, from regulatory disclosures and KIDs to factsheets, investor reporting and digital content. The critical requirement is therefore not simply the ability to generate these outputs, but to maintain consistency across them as the underlying data changes.
This is where technology can materially improve the reporting process. Rather than treating each document or communication as a separate production exercise, the underlying data, validation rules and business logic can be managed centrally and then applied across multiple outputs. This creates a more controlled reporting environment, while reducing the need for manual intervention and reconciliation between systems.
At Instinct, this principle is central to how we approach reporting. The complexity remains within the underlying architecture - data management, validation, workflow and regulatory logic - rather than being exposed through the user experience. The result is a reporting process that can accommodate complex requirements while producing consistent, controlled outputs at scale.
For private asset firms, that distinction is increasingly important. As reporting requirements continue to expand, the answer is not necessarily to simplify the underlying requirements, but to build infrastructure capable of managing them efficiently and reliably
Beyond the Acronyms
Six months into my time at Instinct, I still encounter terminology that is new to me. The difference is that I now have a much clearer understanding of what sits behind it - and, importantly, how the technology supporting the industry can abstract much of that complexity from the end user.
Entering the industry as a graduate without a financial background has given me a useful perspective on this. There is a significant amount of specialist knowledge embedded within the industry's reporting and regulatory processes, but users of those processes should not necessarily need to understand every underlying complexity in order to work effectively with them.
This is one of the aspects of Instinct I have found most compelling. The platform brings the data and requirements behind private asset reporting into a single reporting environment, allowing firms to manage the underlying information once and use it across different outputs. Validation and business rules can be applied within the workflow, while the same controlled data can support factsheets, regulatory documents, investor reporting and other communications. That means the complexity is handled by the platform rather than having to be navigated manually at every stage of the process.
That, ultimately, is where I see the value of technology like Instinct: not in removing the complexity that exists within private assets, but in making that complexity far easier to work with.
