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Enterprise-ready infrastructure for secure, scalable trade finance operations

TradeAI is designed to operate seamlessly within the security, governance, and infrastructure frameworks of regulated financial institutions.

Supporting both on-premises and cloud deployments, the platform integrates with established trade finance systems and core banking architecture without disrupting existing workflows. Built to align with banking security policies, data residency requirements, and enterprise architecture standards, TradeAI enables IT teams to deploy advanced document intelligence capabilities with full control, transparency, and compliance.






Enterprise-Ready Infrastructure for Trade Finance

TradeAI is built to meet the infrastructure, security and governance standards expected within regulated financial institutions.

TradeAI from Conpend is designed to operate within the security, governance and infrastructure frameworks used by modern financial institutions.

The platform supports both on-premises and cloud deployments, integrates with established trade platforms and aligns with banking security policies, data residency requirements and enterprise architecture standards.






Connected to Trusted Trade Intelligence

TradeAI enriches trade transactions using trusted global compliance and intelligence data sources.

Integrated data sources include:


A graphic element showing tradeAI feeding into the following transactions: Global Watchlists, EU, UN and other international regulatory sanctions sources. OFAC Sanctions Lists, U.S. sanctions and regulatory data for global compliance checks. Dow Jones (Logo), Sanctions, adverse media and politically exposed persons (PEP) screening. Lloyd’s List Intelligence (Logo), Maritime and vessel monitoring data for trade route risk detection. Legal Entity Identifier (LEI) Databases, Verification and validation of corporate counterparties.



This ensures trade workflows operate with reliable, continuously updated compliance intelligence.

Built to Integrate with wider Enterprise Trade Platforms and architecture


TradeAI integrates with established existing trade platforms and other infrastructure including Finastra, CGI, Iron Mountain and Temenos. The platform is designed to extend existing systems rather than replace them. Enabling banks to introduce advanced trade decision capabilities without disrupting their core trade processing environments.


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Graphic showing a central Conpend icon surronded by partner logos; Finastra, CGI, Iron Mountain and Temenos



A man in his 50s stood in a server room while working on a laptop

Enterprise-Grade Data Handling


TradeAI is built using enterprise security principles appropriate for regulated organisations.

The platform supports secure, controlled data handling aligned with banking governance frameworks, including:

  • ISO 27001:2017 information security standards

  • Alignment with global digital identity frameworks such as GLEIF

  • Controlled access through role-based permissions

  • Segregation of duties across operational and compliance teams

Data handling policies are designed to align with each bank’s internal governance model, ensuring the platform supports existing data residency, security and risk management requirements.

Full Transparency Across the Trade Workflow​

In regulated financial environments, decisions must remain explainable long after a transaction has been processed. With TradeAI, each outcome can be traced back to the underlying source documents, the data extracted from those documents and the rules applied during processing. This allows organisations to support internal audits reviews, regulatory enquiries and compliance investigations without the need to reconstruct decisions manually.

Teams are able to understand both the outcome of a transaction review as well as the reasoning and evidence behind it.

A graphic with the title, TradeAI extends existing Enterprise Architecture and subtext reading, TradeAI integrates with existing banking or corporate platforms and compliance intelligence sources, bringing structured decision workflows to trade finance without disrupting core systems.  A diagram split into 5 layers -  Layer 1 – Trade Documents & Transaction Data with icons showing: Letters of Credit, Bills of Lading, Commercial Invoices, Certificates of Origin-Shipment Data. Layer 2 – Existing Banking Infrastructure with logos for: Finastra, Iron Mountain, Temenos, CGI, In-house Core Banking Systems. Layer 3 – TradeAI Decision Intelligence Layer (This layer is highlighted) There are icons showing: Document classification & extraction, Discrepancy detection, Sanctions / AML / TBML , KYC screening, Policy rules engine, Exception management, Decision audit trail. Layer 4 – KYC Compliance & Trade Intelligence. Logos and text showing: Dow Jones, OFAC, Global Sanctions Lists, LEI Databases, Lloyd's List Intelligence. Layer 5 – Operational Decisioning & Governance. Subtext: Human oversight, Policy enforcement, Audit review. Icons show: Trade Finance Operations Teams, Compliance Teams, Risk & Audit, Regulators (optional)

Infographic using geometric logo shape with pulled out info from the trade value leak report trading top to bottom; tradeAI acts a value leak prevention layer,€12 million in annual operating costs are trapped, 10 years of dealing with trade value leakage

Fixing the Trade Finance Value Leak


Manual repair cycles, discrepancy loops and compliance friction are quietly costing global trade finance operations millions of dollars in losses each year. The 2026 Trade Finance Value Leak Report from Conpend exposes these biggest sources of loss — and what leading banks and corporations around the world are now doing to eliminate them.

Download th​​​​e report


Full Transparency Across the Trade Workflow


In regulated financial environments, decisions must remain explainable long after a transaction has been processed. With TradeAI, each outcome can be traced back to the underlying source documents, the data extracted from those documents and the rules applied during processing. This allows organisations to support internal audits reviews, regulatory enquiries and compliance investigations without the need to reconstruct decisions manually.

Teams are able to understand both the outcome of a transaction review as well as the reasoning and evidence behind it.

A graphic with the title, TradeAI extends existing Enterprise Architecture and subtext reading, TradeAI integrates with existing banking or corporate platforms and compliance intelligence sources, bringing structured decision workflows to trade finance without disrupting core systems.  A diagram split into 5 layers -  Layer 1 – Trade Documents & Transaction Data with icons showing: Letters of Credit, Bills of Lading, Commercial Invoices, Certificates of Origin-Shipment Data. Layer 2 – Existing Banking Infrastructure with logos for: Finastra, Iron Mountain, Temenos, CGI, In-house Core Banking Systems. Layer 3 – TradeAI Decision Intelligence Layer (This layer is highlighted) There are icons showing: Document classification & extraction, Discrepancy detection, Sanctions / AML / TBML , KYC screening, Policy rules engine, Exception management, Decision audit trail. Layer 4 – KYC Compliance & Trade Intelligence. Logos and text showing: Dow Jones, OFAC, Global Sanctions Lists, LEI Databases, Lloyd's List Intelligence. Layer 5 – Operational Decisioning & Governance. Subtext: Human oversight, Policy enforcement, Audit review. Icons show: Trade Finance Operations Teams, Compliance Teams, Risk & Audit, Regulators (optional)


Fixing the Trade Finance Value Leak


Manual repair cycles, discrepancy loops and compliance friction are quietly costing global trade finance operations millions of dollars in losses each year. The 2026 Trade Finance Value Leak Report from Conpend exposes these biggest sources of loss — and what leading banks and corporations around the world are now doing to eliminate them.

Downlo​​​​ad the ​​report

Infographic using geometric logo shape with pulled out info from the trade value leak report trading top to bottom; €12 million in annual operating costs are trapped


Two colleagues looking through trade workflows. They are in a modern office

Supporting Existing Compliance Frameworks

TradeAI is designed to complement existing compliance systems rather than replace them.

By embedding screening and policy controls directly into trade workflows, the platform enables consistent rule application across transactions and teams while maintaining full oversight for risk and compliance functions.​



Reliability in High-Risk Workflows

Trade finance operations require precision. Errors in document interpretation or compliance screening can introduce significant operational and regulatory risk. TradeAI combines the use of structured rules, Large Language Models (LLM's) and trusted data sources to deliver consistent outcomes across complex document workflows while minimising both false positives and false negatives. With the right training, TradeAI can achieve accuracy levels exceeding 90%.

All outputs remain transparent and reviewable, ensuring automation supports expert oversight rather than replacing it.



Designed for Enterprise Corporate and Banking Environments

See how TradeAI integrates securely into existing enterprise infrastructure while supporting modern trade finance workflows.


Book a call


Designed for Enterprise Corporate and Banking Environments

See how TradeAI integrates securely into existing enterprise infrastructure while supporting modern trade finance workflows.


Book a call