While investors demand up-to-date forecasts and transparent breakdowns of payment allocations, the back-office is often forced to rely on spreadsheets, legacy systems, and inconsistent property-level data feeds.

The pressure for accuracy stands in tension with the growing structural complexity of European securitisations.

At stake are investor relationships, audit-readiness, and the ability to rapidly adapt to fluctuating asset pool performance.

The root barrier is the siloed nature of securitisation data collection and the lack of interoperable, real-time calculation tools that can handle evolving transaction structures without expensive reengineering.

Regulatory reporting deadlines intensify the burden, as required calculations must marry speed with audit-grade accuracy.

Most market participants cobble together custom Excel models or rely on generic, expensive vendor platforms ill-suited to deal-specific needs.

These approaches are slow, error-prone, and cannot easily adjust to evolving deal terms or data sources.