Streamlining Complexity: Automating Calypso Trade Validation Leveraging Intelligent Automation

Case Study

Abstract

The Bank’s trade validation process was manual, involving multiple systems, including Calypso and corporate platforms, for cross-verifying trade data across bonds, advances, swaps, and discount notes. Staff manually logged into systems, navigated reports, extracted trade details, applied business rules, and referenced external Excel files to verify accuracy. This labor-intensive workflow consumed significant staff time, limited scalability during high-volume periods, and created high potential for human error. Delays in identifying discrepancies risked financial reporting accuracy and regulatory compliance. The Bank required a streamlined, automated solution to improve efficiency, reduce errors, and ensure consistent validation of trades across platforms.

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