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Streamline workflows with smart artificial intelligence improving banking institution outcomes, such as profitability, customer experiences, and regulatory compliance.
Global banks servicing trade finance transactions are vital to international commerce, bridging the gap between buyers and sellers while managing risk. However, trade finance processes are time-critical and heavily regulated yet remain highly manual and paper-intensive, escalating costs, increasing risks, and decreasing profits while compromising customer experiences.
Documents must be reviewed by multiple stakeholders in the trade transaction resulting in the physical movement of paper between 2-8 banks for any given trade depending on the complexity of the deal. Further, data accuracy is paramount to support these due diligence processes, mitigate risks, and facilitate trade commerce. Despite these challenges, 45% of banks still employ manual processes inherently fraught with inefficiencies and inaccuracies; the rest use only partial digitization.1
According to McKinsey, banks could increase operating profits between 9% and 15% by embracing new technology and modernizing inefficient, manual, paper-based processes. That equates to banks saving an additional $200 billion to $340 billion from increased productivity while improving customer experiences, decision-making, and fraud monitoring.2
Rapidly digitize documents and streamline the review process via automated workflows and intelligent validation rules to accurately and efficiently process documentary credit packages and mitigate multiple risks.
You can overcome traditional trade finance challenges by digitizing documents into data you can use, automate, and reconcile to:
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