
ABBYY’s trade finance automation streamlines document-driven processes, reducing manual effort and risks. It enhances efficiency, ensures compliance, and provides valuable insights through intelligent data capture and process visualization.
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ABBYY
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Streamline trade finance with ABBYY intelligent automation
Improve revenues, lower risks, and reduce paper.
Automate trade finance end-to-end
Trade finance is a multi-step, multi-part processing ecosystem that is largely manual, repetitive, time consuming, and full of risk. Banks are feeling the pressures of the rising costs of compliance and due diligence. ABBYY offers a comprehensive approach to trade finance. ABBYY helps banks adopt an end-to-end digital approach for automating trade finance, opening doors for new sources of growth, increasing efficiency, and reducing cost and risk.
Trade Finance Automation with ABBYY
Accurately capture data from documents and glean insights from business processes.
Process transparency with intelligence
By helping financial institutions discover the complex interactions between customers, employees, processes, and content, ABBYY Timeline assembles the right data to get a clear picture of end-to-end processes, point out vulnerabilities and opportunities for change, and provide ongoing monitoring against compliance criteria.
Submission and verification of documents
Trade finance processes encompass over 100 different types of documents. Manually extracting data from these documents and integrating with relevant systems carries a high risk of human error. ABBYY intelligent document processing solutions help banks automate document intake processes.
Process visualization
ABBYY Timeline applies artificial intelligence (AI) to process mining methods to create a visual model of the “typical” trade finance process as well as all of its variations. This snapshot, based on data from your own systems, helps you understand how you can improve the process without driving up costs
Monitoring and audit
Gain a deeper understanding of processes and glean insights to predict outcomes before they happen; for example, forecast trade processes in their future state. Gain data-driven understanding of the impact changes to processes will have before you invest in them.