Transforming Banking Operations: Automating Letter of Credit Processing Through Intelligent RPA

Case Study

Abstract

The Bank issues Letters of Credit (L/Cs) for member institutions to support liquidity, asset management, housing, and community development. However, the process was highly manual: staff extracted counterparty data from the ERP system, logged it into spreadsheets, converted it into Word/PDF documents, navigated multiple systems (Calypso, DocuSign, custom apps, FedEx), and emailed documents for approvals while tracking progress. This labor-intensive workflow consumed significant hours and introduced high human error risk, with each L/C carrying major financial and regulatory implications. The Bank needed to automate the process, enhancing efficiency, accuracy, and enabling staff to focus on higher-value tasks.

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