Case Study
Overview
This process downloads transaction records from multiple applications to check and verify incoming and outgoing transaction histories for AML reporting purposes.
BUSINESS CHALLENGES
- Failing to identify exceptional customers or those with liabilities before deducting amounts can result in reputational loss.
- Checking transaction history in Mainframe applications demands intense human attention and concentration.
- Manual cross-referencing across multiple systems creates gaps and inconsistencies in AML reporting.
SOLUTION IMPLEMENTED
- BOT accuracy virtually eliminates the probability of missing critical checks before deducting or flagging transactions.
- Digital worker reads all data in seconds and does not miss any transaction detail regardless of volume.
- Automated reporting ensures precise, timely AML submissions that maintain bank profitability and regulatory standing.
Impact Delivered
98%
Accuracy
700%
Productivity
5 min
Avg. TAT
1 day
SLA
300/day
Volume

