Why Banks need Intelligent Document Processing for Trade Finance?

Faster Trade Turnaround

Faster & more efficient trade transactions by automating document classification, validation, and compliance checks, reducing turnaround times for LC processing.

Confident Compliance Assurance

Seamless UCP-600 & LC compliance by automatically verifying trade documents against global trade finance regulations, minimizing compliance risks.

Proactive Fraud Detection

Enhanced fraud detection & risk mitigation by flagging inconsistencies in invoices, Bills of Lading, and payment terms with AI-driven discrepancy detection.

Streamlined Operational Efficiency

Optimized operational efficiency & resource allocation by reducing manual document reviews and streamlining trade finance workflows with intelligent automation.

Connected for Real-time Accuracy

Seamless integration with trade finance systems by connecting securely with SWIFT, ICC databases, and core banking platforms for real-time validation and audit readiness.

Faster Trade Turnaround

Faster & more efficient trade transactions by automating document classification, validation, and compliance checks, reducing turnaround times for LC processing.

Confident Compliance Assurance

Seamless UCP-600 & LC compliance by automatically verifying trade documents against global trade finance regulations, minimizing compliance risks.

Proactive Fraud Detection

Enhanced fraud detection & risk mitigation by flagging inconsistencies in invoices, Bills of Lading, and payment terms with AI-driven discrepancy detection.

Streamlined Operational Efficiency

Optimized operational efficiency & resource allocation by reducing manual document reviews and streamlining trade finance workflows with intelligent automation.

Connected for Real-time Accuracy

Seamless integration with trade finance systems by connecting securely with SWIFT, ICC databases, and core banking platforms for real-time validation and audit readiness.

Key Features of Newgen Agentic IDP Studio for Trade Finance Auto Document Checking

Built-in Agents of NewgenONE AURA AI

Document Classification Agent

Identify the type of trade finance document (e.g., Bill of Lading, Invoice, Certificate of Origin, Insurance Policy) and leverage Optical Character Recognition (OCR) and deep learning models to categorize incoming PDFs based on predefined classes.

Field Extraction Agent

Extract critical fields such as beneficiary details, payment terms, shipment details, and document dates and utilize Natural Language Processing (NLP) and Computer Vision (CV) based deep learning models and rule-based extraction techniques.

Regulatory Compliance Agent

Cross-check extracted data against UCP-600 guidelines to validate compliance and detect potential document discrepancies.

Consistency Validation Agent

Match extracted details against the Letter of Credit (LC) terms, verify consistency in shipment terms, payment conditions, and involved parties, and highlight missing or incorrect data for review.

Automated Discrepancy Detection Agent

Cross-validate information across multiple documents (e.g., invoice vs. bill of lading vs. LC) and identify product descriptions, amounts, dates and other data inconsistencies.

Document Classification Agent

Identify the type of trade finance document (e.g., Bill of Lading, Invoice, Certificate of Origin, Insurance Policy) and leverage Optical Character Recognition (OCR) and deep learning models to categorize incoming PDFs based on predefined classes.

Field Extraction Agent

Extract critical fields such as beneficiary details, payment terms, shipment details, and document dates and utilize Natural Language Processing (NLP) and Computer Vision (CV) based deep learning models and rule-based extraction techniques.

Regulatory Compliance Agent

Cross-check extracted data against UCP-600 guidelines to validate compliance and detect potential document discrepancies.

Consistency Validation Agent

Match extracted details against the Letter of Credit (LC) terms, verify consistency in shipment terms, payment conditions, and involved parties, and highlight missing or incorrect data for review.

Automated Discrepancy Detection Agent

Cross-validate information across multiple documents (e.g., invoice vs. bill of lading vs. LC) and identify product descriptions, amounts, dates and other data inconsistencies.

Agentic Customer Journey with Responsible AI

NewgenONE AI Agents leverage customer-approved data to deliver explainable and evidence-based models with full auditability. These agents are safeguarded by business rules and continuous monitoring to ensure reliable performance

Find Your Winning Strategy with Newgen

Discover how to improve accuracy and speed up trade finance operations with NewgenONE AURA AI Agent.

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Frequently Asked Questions

NewgenONE AURA (Automated Understanding & Rule-based Analysis) AI, also known as Agentic Document Processing for Trade Finance, is an AI-powered solution that automates the validation of trade finance documents, ensuring compliance, accuracy, and faster processing. 

It streamlines document intake, automatically extracts and validates key fields, detects discrepancies across related documents, enforces compliance rules, and reduces fraud risks — all while accelerating turnaround times. 

It can process invoices, Letters of Credit, bills of lading, shipping documents, and certificates, whether they are scanned images, PDFs, or system-generated files.  

The built-in compliance engine applies over 100 UCP/ISBP rules and validates documentation against LC terms, helping banks meet international trade regulations with confidence. 

Yes. The solution cross-checks data across invoices, LCs, and bills of lading to identify mismatches, missing fields, or tampered content, ensuring greater accuracy in trade documentation. 

AURA AI flags suspicious activity such as document manipulation, duplication, or unusual patterns across high-volume transactions, reducing the risk of fraudulent trade activity. 

Yes. With an API-first architecture, it integrates seamlessly with SWIFT, ICC databases, core banking, and other third-party systems to create a unified trade finance ecosystem. 

Banks using AURA AI typically achieve more than 70% faster document processing, 80–90% fewer manual errors, and full auditability across trade workflows. 

Yes. Built on the NewgenONE low-code platform, it supports high-volume document processing and is ready for large-scale, cross-border deployments. 

Every validation step is recorded for 100% auditability, while discrepancies or anomalies trigger contextual alerts and are routed into automated workflows for quick resolution. 

 

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