The data problem that precedes every break
When reconciliation fails, volume is often blamed. But volume is rarely the root cause. Data arrives from multiple internal and external sources, in different formats, at different times, and with inconsistent quality levels. That fragmentation introduces inconsistency long before any matching process begins. Without a way to standardise and control data at the point of ingestion, reconciliation teams are left compensating manually further downstream — adding delays, complexity, and risk at every step.
Reconciliation problems start earlier than most institutions realise
In highly regulated environments, uncontrolled data flows do not just slow operations — they undermine the control framework that institutions depend on. Addressing reconciliation effectively means addressing the data foundation first. The second episode of the AIR: Reconciliation Reimagined series explores why breaks rarely begin at matching, and what a more resilient approach looks like. Learn how Air, Smartstream’s AI-enabled data automation and reconciliation platform, helps institutions establish control at the source.
