
Each month, statements arrive from multiple brokers, often using different templates, structures, and levels of detail. Before the data can be used, it needs to be reviewed, checked, and aligned with internal records.
This meant that every statement had to be handled manually:
The variability across documents made it difficult to apply a consistent approach. Even similar statements could require different handling depending on the format or level of detail.
As volumes increased, the effort required to maintain accuracy and keep systems aligned grew significantly. The process depended on careful manual work, especially during reporting periods.
KAPTO AI was implemented to handle broker statements as part of a single, structured process.
Incoming documents are processed automatically, regardless of their format:
Instead of adapting the process to each broker template, the system brings all statements into the same structure. Human intervention is only required when a discrepancy needs to be reviewed or resolved.
After implementation, broker statement handling became more predictable and easier to manage.
Manual effort has been reduced significantly, especially in the initial review phase. Teams no longer need to go through each document in full, focusing instead on specific differences.
The improvements have a direct effect on financial operations:
REVO now manages broker statement processing with a higher level of control, while handling increasing volumes without adding complexity to the workflow.