Kreios, which provides a platform to validate regulatory documents more systematically, and Alfi, the Association of the Luxembourg Fund Industry, have announced an initiative to boost the ability of firms in the jurisdiction to compare their own documentation against industry best practice.
The deal follows a similar implementation in the German fund market, between Kreios and BVI, the German Investment Funds Association, announced in February. In both cases, the use of AI and rule based automation are cited as key facilitators for delivering efficiencies.
In Luxembourg, the first phase of the implementation will focus on making Alfi’s guidance on the PRIIPs Key Information Document (KID) directly available via Kreios’ platform Regmatix. Other areas will follow at a later stage.
“This will enable firms to validate their documents against established industry best practices in a more systematic and auditable way, helping improve consistency, strengthen oversight and reduce reliance on manual checks,” Kreios stated.
The solution is designed as an independent control layer, compatible with any existing production setups and operating models.
Serge Weyland, Alfi CEO, commented: “Alfi’s role is to help the Luxembourg fund industry remain competitive, trusted and future-ready. The initiative reflects our commitment to connecting expertise and fostering innovation across the Luxembourg fund ecosystem.”
“By making our expertise more accessible in operational environments such as Kreios’ Regmatix platform, we enable the consistent and scalable application of industry best practices. This, in turn, strengthens Luxembourg’s position as a quality-focused, forward-looking and innovative fund domicile.”
Ulf Herbig, CEO of Kreios, added: “True innovation in regulation means turning expert knowledge into scalable, auditable controls. Regmatix is designed to transform trusted industry guidance into practical, usable controls for firms. Our role is to help make that expertise operational in a way that supports consistency, transparency and responsible use of AI-enabled automation.”
