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Foundations of disruption
Core technology components and products are advancing at an unprecedented pace, continually incorporating new features and capabilities. We are witnessing a “Deep Seek” moment across the technology stack where new entrants hold significant advantage over the technology leaders due to rapidly evolving best practices, agile technology frameworks and superior building blocks. In parallel, the costs associated with licensing and application development are rapidly declining, driven by the growing adoption of low-code platforms and generative AI components in both programming and testing. For example, leading data platforms have transformed the traditional, multi-year data warehouse projects into initiatives that can now be executed in just a few months and at a lower overall cost.
Symbolic automation initiatives or siloed fixes no longer suffice. Operations leaders must now justify their budgets and roles with clear, quantifiable outcomes. These changes are redefining the status quo and challenging strategic inaction, forcing management teams to accelerate transformation efforts to maintain their ability to meet ever-growing demands from their stakeholders and move fund operations into a true support function to the business.
Breaking the mold
The latest rapid technological advancements are increasingly challenging the conventional approach of sourcing a multitude of specialised point solutions and relying on human intervention as the adhesive to construct effective process chains across solutions. Although this approach was once seen as a way to leverage best-of-breed capabilities while avoiding extensive in-house development, in practice this approach frequently led to fragmented systems with poor integration and ultimately, underwhelming results. Moreover, decisions are frequently made without a robust enterprise-level technology design guidelines, leading to ad-hoc sourcing decision and rushed implementations that fail to meet wider business needs. Organisations then attempt to retrofit these applications to their level of complexity using product vendors whose primary business model is based on selling recurring licenses, rather than providing the flexibility and comprehensive integration required for meaningful transformation. Failing to invest sufficient time upfront to clearly define (end-to-end) business requirements and develop a comprehensive plan for integrating data and IT tools before onboarding a new solution is a primary contributor to suboptimal outcomes.
Innovating from within
In response to significant gaps in the market’s available solutions, industry leaders are turning to a build-first innovation strategy which involves shifting from purchasing off-the-shelf point solutions to harnessing platforms for in-house development. This approach enables organisations to create fully integrated, custom-built solutions that deliver end-to-end operational efficiency rather than simply automating isolated steps. By using low-code platforms, companies can rapidly prototype, iterate, and deploy solutions tailored to their unique business processes, all while reducing reliance on rigid, pre-packaged systems often with limited API capabilities. As technological change accelerates, AI is set to take on many of the business logic functions that are currently hard coded into workflows. However, this evolution will only be within reach for organisations that have already embarked on their automation journey and embedded
their core business logic within workflows.
Now, imagine being part of a finance team that once spent countless days examining through NAV workbooks, carefully checking most figures manually. With these new solutions, the system automatically checks through historical data to pinpoint only the irregularities that matter and enables finance teams to certify the golden source in a simplified manner, so you’re no longer buried in endless spreadsheets. This shifts the focus away from the painful grind of manual checks and empowers teams to focus on addressing critical quality issues that warrant further evaluation.
Data-Driven Integration
While banks and other financial institutions often focus on automating high-frequency and high-volume processes, where streamlining even a few key tasks can have a significant impact on workforce efficiency, the situation in private equity and other alternative strategies is quite different. In alternatives, most processes occur less frequently but are highly data intensive. This means that asset managers must adopt a more ambitious approach by targeting a broader range of processes for automation to achieve meaningful efficiency gains. By combining workflow platforms with robust data warehouses and application databases, organisations can effectively cover most use cases in private assets. For processes that are standardised, such as invoice processing or secure bank connectivity, specialised applications can be seamlessly integrated. This blended approach ensures that flexible, custom-built solutions and fixed, standardised processes work together harmoniously to meet the sector’s diverse needs.
Data is at the heart of everything. Development of a robust data architecture and comprehensive data model, supported by a resilient infrastructure designed to ingest data from diverse sources is key to long term efficiency gains. Leveraging advanced capabilities, the Fund Operations team now enjoys a comprehensive, real-time view of its activities. They can track upcoming deliverables, monitor deviations from key performance indicators, generate detailed summaries on exchanges, and visualise process timelines. This continuous insight allows them to spot potential issues early and adjust processes before minor glitches escalate into major problems.
Navigating pitfalls & paving the way forward
In transformative processes, setbacks are inevitable and learning from these failures is essential for true renewal and lasting success. Some of the common pitfalls to avoid are:
-Begin with a clear vision and start small: As you move toward an initial launch, build a technology stack that meets immediate functional needs while
establishing a foundation for future growth;
-Outline comprehensive requirements: Document all key features, data flows, and process dependencies to identify potential pitfalls and control costs that
could derail the project or increase development costs;
-Plan your procurement: Ensure every data and process dependency is addressed before purchasing tools and establish a clear process for developing
new solutions;
-Adopt an agile approach: Deploy small, incremental applications to quickly build momentum and adapt to changes;
-Build a dedicated transformation team: Assemble a specialised team to make critical decisions, ensuring the project has the expertise and focus it needs to
succeed.
For more information, contact:
Kai Braun, Partner, Alternatives Advisory Leader, PwC Luxembourg
Simarjit Sra, Director, Alternatives Advisory, PwC Luxembourg
