For a long time, their role was relatively clear: to safeguard assets, calculate net asset values, carry out administrative tasks and ensure the smooth running of investment funds. Operating behind the scenes alongside management companies, asset servicers formed the operational backbone of the industry.
This definition is now being shattered. The rise of artificial intelligence, tokenisation, private assets and regulatory requirements is profoundly transforming their role. For Ramy El Houayek, recently appointed country managing director of Caceis Luxembourg, the sector is entering a new phase in which value no longer lies solely in the execution of transactions, but in the ability to produce, certify and utilise reliable data. “Data is not just as important as administration: it is simultaneously its raw material, its end product and its key differentiator,” he explains.
From administration to data analytics
This development reflects a wider transformation within the asset management industry. Asset managers no longer simply expect their service providers to produce daily reports. They want access to real-time, enriched data that can be used immediately by their risk management, distribution or analysis tools.
“Our clients are no longer looking to receive a static report the following morning. They demand immediate, continuous access to their raw, enriched and verified data, which can be integrated directly into their own systems,” explains Ramy El Houayek.
In other words, data is becoming a product in its own right. In this context, the fund manager is no longer merely responsible for producing regulatory information; they become the guarantor of its quality and reliability.
This development is in line with a trend observed across the Luxembourg industry as a whole: the focus is no longer solely on asset preservation, but on the ability to produce certified, actionable and immediately available information.
The value of AI depends on the quality of the data
Artificial intelligence is further accelerating this transformation. However, contrary to certain claims of a radical shift, Ramy El Houayek believes that technology will not replace the need for human expertise.
According to him, the first processes to undergo a profound transformation relate to exception handling, document analysis and KYC and AML checks. Algorithms prepare, analyse and enrich the information, whilst experts retain responsibility for final validation. The real challenge lies elsewhere.
“Artificial intelligence is only valuable if it is based on reliable data,” he had already pointed out during our interview. Without robust governance, controls and high-quality data, even the best models simply produce errors more quickly.
Caceis therefore advocates a “human-in-the-loop” model, in which AI handles repetitive tasks, whilst specialists focus on analysis, advisory services and client relations. The aim is not only to boost productivity, but also to reduce operational risk.
The asset service provider of 2030 will no longer be merely a custodian of assets; it will be a comprehensive technological and financial partner
Trust is becoming part of the infrastructure
This development gives rise to an interesting paradox. Blockchain and tokenisation are often presented as disintermediation technologies, capable of eliminating some of the traditional intermediaries. For Ramy El Houayek, however, they actually reinforce the need for third parties capable of certifying transactions and ensuring data integrity.
As digital assets, tokenised funds and hybrid products continue to grow, investors will continue to seek out infrastructure capable of securing transactions, verifying information and providing a high level of trust.
“Trust is built in difficult times, never under normal circumstances,” he emphasises. In this new architecture, technology becomes a prerequisite. So does data quality. But it is the ability to combine these tools with human expertise that will make the difference.
Yesterday’s conveniences, tomorrow’s value
This transformation is also accompanied by a shift in the business model of asset servicers. Traditional activities – such as standardised fund accounting or conventional register-keeping – are gradually becoming commoditised, automated and subject to intense price pressure. Value creation is shifting towards other segments: private markets, infrastructure, digital assets, outsourced middle-office services and data platforms.
“The traditional model, based almost exclusively on base points applied to assets under custody or management, is undergoing a transformation,” says Ramy El Houayek. In the future, value will be derived more from technological services, APIs, data platforms and high-value-added solutions than from administrative operations alone.
More of an industrial challenge than a technological one
For the head of Caceis Luxembourg, the main challenge in the coming years is not, in fact, artificial intelligence itself. Rather, it lies in the ability of established players to transform IT infrastructures – some of which were built several decades ago – whilst integrating the cloud, AI and distributed ledger technologies without compromising operational continuity.
In other words, the real revolution is not just technological: it is industrial. And that is probably where the next battle in asset servicing will be fought. For in the future, custodians and fund administrators will no longer be judged solely on their ability to hold assets, but on their capacity to provide a digital infrastructure that is reliable, secure and sufficiently agile to support the evolution of the entire asset management sector.
As Ramy El Houayek puts it, “the asset servicer of 2030 will no longer be merely a custodian of assets; it will be a comprehensive technological and financial partner, helping to shape its clients’ performance”.
