What market changes are driving the evolution of Smart Reconciliations Premium?

Markets are moving from T+2 to T+1, some regions towards T+0, alongside 24 by 7 operations. Rising transaction volumes also increase exceptions and investigations, so the platform must scale with the workload while keeping total cost of ownership under control.

How does Smart Reconciliations Premium use cloud-native architecture?

It uses cloud-native footprints in the customer's private cloud, data centre or public cloud, separates compute from storage and autoscales components such as matching. The platform scales with the workload and scales down when there is no traffic.

Why does explainable machine learning matter for reconciliation matching?

The next generation of machine learning-based matching shows the reasoning behind a match, such as string comparison, directly to the operator. Regulators can review how each match was made, and the release also improves performance.

How does Smartstream apply generative AI beyond faster processes?

Smartstream works with customers on process re-engineering rather than only speeding up tasks like investigations or data lookups. The focus is simplifying processes, institutionalising knowledge and demonstrating ROI.

How does Smartstream support customers with faster release cycles?

Release cycles are compressing from every six months or annually to monthly, with bi-weekly possible in future. Smartstream partners with customers on verification, certification and updates so they stay compliant.