UAE โ Friday, 08 May 2026
Cleareye.ai, a provider of AI-native trade finance intelligence and compliance platforms, today announced a strategic collaboration with Ajman Bank to advance the bankโs Trade-Based Money Laundering (TBML) compliance framework in alignment with evolving mandates from the Central Bank of the UAE.
This collaboration underscores Ajman Bankโs continued investment in technology-led transformation, with a focus on augmenting regulatory compliance, strengthening risk analytics, and improving operational resilience across its trade finance operations.
As part of this collaboration, Ajman Bank will implement Cleareye.aiโs ClearTradeยฎ platform to support automation across trade finance workflows, including TBML and compliance checks. The platform is designed to assist banks in identifying potential anomalies and risk indicators associated with trade-based financial transactions, including discrepancies in invoicing, shipment data, and counterparty profiles.
Ajman Bank, one of the UAEโs most established Islamic financial institutions, continues to take a measured and structured approach to digital transformation, ensuring that technology adoption remains aligned with regulatory standards, governance frameworks, and customer service objectives.
The deployment of ClearTradeยฎ is expected to support improved process consistency, enhanced transparency in trade operations, and strengthened monitoring capabilities for potential financial crime risks, including Trade-Based Money Laundering (TBML). From a regulatory perspective, the platform provides analytical capabilities to assess transaction-level data across multiple parameters, supporting compliance teams in their review and decision-making processes.
Executive Commentary
Anarย Qasem, VPย MENA, Cleareye.ai, commented:
โAjman Bank has demonstrated a clear and deliberate commitment to elevating its trade finance compliance framework. Their approach reflects the ambition of a forward-thinking institution-one that recognises the strategic value of embedding structured compliance capabilities at the core of its operations. We are proud to be part of that journey and look forward to supporting Ajman Bank as they continue to strengthen their position within the UAE’s evolving regulatory landscape.โ
Ajman Bank Commentary
Muhammed Iqtadar, Chief Compliance Officer, Ajman Bank, commented:
โFrom a compliance and regulatory standpoint, this collaboration represents a significant step forward in reinforcing Ajman Bankโs financial crime risk management framework, particularly in Trade-Based Money Laundering (TBML).
As a Chief Compliance Officer, our priority remains to ensure that all trade finance activities are conducted within a robust, transparent, and well-governed control environment. The increasing complexity of trade transactions, coupled with evolving regulatory expectations, necessitates the adoption of advanced technological solutions that enhances our ability to identify, assess, and mitigate financial crime risks effectively.โ
The integration of Cleareye.aiโs ClearTradeยฎ platform strengthens our capability to perform granular, transaction-level analysis, enabling more precise detection of anomalies, inconsistencies, and potential red flags across trade documentation and customer profiles. This enhances the quality and depth of our compliance reviews.
Furthermore, this initiative supports our commitment to proactive regulatory alignment, ensuring that our frameworks remain consistent with UAE regulatory expectations and international best practices, including AML/CFT and sanctions compliance.
From a governance perspective, the platform introduces greater standardisation, auditability, and traceability across trade finance processes. This improves internal oversight and enhances our ability to demonstrate compliance effectiveness to regulators and stakeholders.
Ultimately, our objective is to embed compliance seamlessly within business operationsโmoving towards a more predictive, intelligence-led compliance model. This collaboration is a key enabler in achieving that vision.
Ajman Bank remains committed to enhancing its trade finance capabilities in line with regulatory expectations and global best practices. Our collaboration with Cleareye.ai supports our objective of improving operational efficiency while maintaining a robust and resilient compliance framework.
About Cleareye.ai
The AI-native standard for trade finance compliance and operations
Cleareye.ai is purpose-built for the trade finance domain-not adapted from generic AI tooling. Its flagship platform, ClearTradeยฎ, combines traditional ML models, large language models (LLMs), domain-tuned NLP pipelines, structured data extraction, and rules-based compliance workflows to deliver end-to-end automation and intelligent orchestration across document processing, regulatory compliance, and trade-based money laundering (TBML). Unlike legacy rule engines or bolt-on AI, ClearTradeยฎ was architected from the ground up on AI-native infrastructure, enabling the precision, adaptability, and auditability that global banking demands.
“ClearTradeยฎ brings the rigor of structured compliance with the intelligence of modern AI โ giving our teams faster decisions, fewer false positives, and a defensible audit trail.” – Global Head of Trade Finance Operations, Tier 1 Bank
For more information, visit: www.cleareye.aiโ
Contact: [email protected]
Aboutย Ajmanย Bankย
Established in 2007, Ajman Bank PJSC is the first Islamic bank incorporated in the Emirate of Ajman. Headquartered in Ajman, United Arab Emirates, the bank officially commenced operations in 2009 and is listed on the Dubai Financial Market. Ajman Bank is a key pillar in the emirateโs economic development strategy and is strongly supported by the Government of Ajman
Ajman Bank offers a comprehensive range of Shariโah-compliant banking, financing, and investment services to individuals, businesses, and government entities. Its operations span across Consumer Banking, Corporate Banking, Investment Banking, and Treasury segments.
UAE โ 16th July 2026
Cleareye.ai, a provider of AI-native trade finance intelligence and compliance platforms, today announced a strategic collaboration with Ajman Bank to advance the bankโs Trade-Based Money Laundering (TBML) compliance framework in alignment with evolving mandates from the Central Bank of the UAE.
This collaboration underscores Ajman Bankโs continued investment in technology-led transformation, with a focus on augmenting regulatory compliance, strengthening risk analytics, and improving operational resilience across its trade finance operations.
As part of this collaboration, Ajman Bank will implement Cleareye.aiโs ClearTradeยฎ platform to support automation across trade finance workflows, including TBML and compliance checks. The platform is designed to assist banks in identifying potential anomalies and risk indicators associated with trade-based financial transactions, including discrepancies in invoicing, shipment data, and counterparty profiles.
Ajman Bank, one of the UAEโs most established Islamic financial institutions, continues to take a measured and structured approach to digital transformation, ensuring that technology adoption remains aligned with regulatory standards, governance frameworks, and customer service objectives.
The deployment of ClearTradeยฎ is expected to support improved process consistency, enhanced transparency in trade operations, and strengthened monitoring capabilities for potential financial crime risks, including Trade-Based Money Laundering (TBML). From a regulatory perspective, the platform provides analytical capabilities to assess transaction-level data across multiple parameters, supporting compliance teams in their review and decision-making processes.
Executive Commentary
Anarย Qasem, VPย MENA, Cleareye.ai, commented:
โAjman Bank has demonstrated a clear and deliberate commitment to elevating its trade finance compliance framework. Their approach reflects the ambition of a forward-thinking institution-one that recognises the strategic value of embedding structured compliance capabilities at the core of its operations. We are proud to be part of that journey and look forward to supporting Ajman Bank as they continue to strengthen their position within the UAE’s evolving regulatory landscape.โ
Ajman Bank Commentary
Muhammed Iqtadar, Chief Compliance Officer, Ajman Bank, commented:
โFrom a compliance and regulatory standpoint, this collaboration represents a significant step forward in reinforcing Ajman Bankโs financial crime risk management framework, particularly in Trade-Based Money Laundering (TBML).
As a Chief Compliance Officer, our priority remains to ensure that all trade finance activities are conducted within a robust, transparent, and well-governed control environment. The increasing complexity of trade transactions, coupled with evolving regulatory expectations, necessitates the adoption of advanced technological solutions that enhances our ability to identify, assess, and mitigate financial crime risks effectively.โ
The integration of Cleareye.aiโs ClearTradeยฎ platform strengthens our capability to perform granular, transaction-level analysis, enabling more precise detection of anomalies, inconsistencies, and potential red flags across trade documentation and customer profiles. This enhances the quality and depth of our compliance reviews.
Furthermore, this initiative supports our commitment to proactive regulatory alignment, ensuring that our frameworks remain consistent with UAE regulatory expectations and international best practices, including AML/CFT and sanctions compliance.
From a governance perspective, the platform introduces greater standardisation, auditability, and traceability across trade finance processes. This improves internal oversight and enhances our ability to demonstrate compliance effectiveness to regulators and stakeholders.
Ultimately, our objective is to embed compliance seamlessly within business operationsโmoving towards a more predictive, intelligence-led compliance model. This collaboration is a key enabler in achieving that vision.
Ajman Bank remains committed to enhancing its trade finance capabilities in line with regulatory expectations and global best practices. Our collaboration with Cleareye.ai supports our objective of improving operational efficiency while maintaining a robust and resilient compliance framework.
About Cleareye.ai
The AI-native standard for trade finance compliance and operations
Cleareye.ai is purpose-built for the trade finance domain-not adapted from generic AI tooling. Its flagship platform, ClearTradeยฎ, combines traditional ML models, large language models (LLMs), domain-tuned NLP pipelines, structured data extraction, and rules-based compliance workflows to deliver end-to-end automation and intelligent orchestration across document processing, regulatory compliance, and trade-based money laundering (TBML). Unlike legacy rule engines or bolt-on AI, ClearTradeยฎ was architected from the ground up on AI-native infrastructure, enabling the precision, adaptability, and auditability that global banking demands.
“ClearTradeยฎ brings the rigor of structured compliance with the intelligence of modern AI โ giving our teams faster decisions, fewer false positives, and a defensible audit trail.” – Global Head of Trade Finance Operations, Tier 1 Bank
For more information, visit: www.cleareye.aiโ
Contact: [email protected]
Aboutย Ajmanย Bankย
Established in 2007, Ajman Bank PJSC is the first Islamic bank incorporated in the Emirate of Ajman. Headquartered in Ajman, United Arab Emirates, the bank officially commenced operations in 2009 and is listed on the Dubai Financial Market. Ajman Bank is a key pillar in the emirateโs economic development strategy and is strongly supported by the Government of Ajman
Ajman Bank offers a comprehensive range of Shariโah-compliant banking, financing, and investment services to individuals, businesses, and government entities. Its operations span across Consumer Banking, Corporate Banking, Investment Banking, and Treasury segments.
Forty free trade zones, a rising compliance bar, and a crime that looks exactly like the commerce
Muhammed Iqtadar has been at Ajman Bank since its founding. He has watched compliance evolve from a back-office function into something that reports directly to the board. What he has not seen is the paperwork get any easier.ย
Most fraud announces itself eventually. Trade-based money laundering rarely does, because the paperwork is designed to look ordinary. Take a bill of lading: not a complicated document, by the standards of trade finance, but read on its own, it tells you almost nothing. The vessel name, the port of discharge, the description of goods โ each is a data point, and none of them, in isolation, is a red flag. The problem only appears when you lay the bill of lading against the commercial invoice, and the invoice against the purchase order, and the purchase order against the counterparty profile, and the counterparty profile against a sanctions list that was updated this morning. By the time a compliance officer has done all of that, the trade has moved on.ย
Unlike a suspicious wire transfer or a structuring pattern in a personal account, TBML hides in the texture of legitimate commerce, which makes it much harder to police. A shipment of steel is a shipment of steel, until you compare the invoice price to the market rate and discover it has been inflated by forty per cent. A vessel is heading to a known port, until you check whether it switched off its transponder halfway there. Ghost shipments leave real paperwork, and over- and under-invoiced consignments arrive on time, with documentation that holds up to a casual glance. That is what the launderer is paying for.ย
Nowhere is this problem sharper than in the UAE. The country has more than forty free trade zones, each governed by its own regulatory framework, and between them they attract the full spectrum of global trade, including the part that would prefer not to be scrutinised. The Central Bank of the UAE has itself acknowledged that this high number of free trade zones compounds the challenge for licensed financial institutions, since illicit actors benefit from the reduced transparency and high transaction volumes these zones generate. In April 2026, the CBUAE issued a comprehensive new package of AML/CFT guidance, including dedicated frameworks on TBML and transshipment risks, correspondent banking relationships, and proliferation financing. The message from the regulator was clear enough: documenting a policy is no longer the same as proving it works.ย
Muhammed Iqtadar is the Chief Compliance Officer at Ajman Bank, and that message is addressed to him directly. He has been with the bank since it was founded in 2007. He builds systems, not rules, he says. Systems built to survive a regulatory examination, a geopolitical shock, and a compliance team with too much paper and not enough time, all at once. The word he reaches for when he talks about TBML detection is ‘acumen’. It is not just a technical problem, in his view. It is a judgment problem, and judgment is hard to scale. “Trade-based money laundering requires a lot of detailed acumen,” he said. “From the trade finance control provider, someone who has worked in trade finance, they know best about the documents. That expertise is a resource, and that resource has limits.”ย
The data gives some sense of scale. According to the UAE Financial Intelligence Unit’s own analysis, phantom shipments account for 61 per cent of examined TBML suspicious reports in the country, with invoice manipulation and falsely described goods making up most of the remainder. These are not novel techniques; they have been in the FATF typologies for years. What has changed is the volume of transactions through which they can hide, and the sophistication with which they are dressed up. A compliance team reviewing letters of credit manually, checking seven or eight attributes per bill of lading, cross-referencing vessel-tracking data, screening counterparty names, and reconciling documents that arrive in unstructured formats is not doing bad work. It is just doing finite work in an environment that is not.ย
This is what led Ajman Bank to issue a request for proposals, conduct a formal evaluation of competing platforms, and eventually select Cleareye.ai’s ClearTrade system. The bank’s objective was to identify a technology partner capable of supporting its trade finance compliance requirements and future growth ambitions. What it is investing in is a particular capability, automated document reconciliation that can cross-check invoices against bills of lading against purchase orders, flag anomalies in pricing data, connect counterparty profiles to vessel tracking, and produce a documented audit trail that a regulator can actually read. Every letter of credit opened, or guarantee issued, Iqtadar explained, should be properly documented and scrutinised before it moves through to other banks, and the turnaround time that currently takes a human half an hour to an hour should, with the new system, take a fraction of that.ย
The compliance problem in trade finance is not only about detection. It is about throughput. Banks miss TBML not because their systems are unsophisticated but because there is too much to review, too many false positives, too much manual reconciliation, and not enough time to do it properly. A faster process changes what gets looked at closely in the first place.ย
The CBUAE’s April guidance landed alongside a deadline. Federal Decree-Law No. 6 of 2025 overhauled the UAE’s financial regulatory framework, with a transitional compliance period running to September 2026. For a bank with Ajman Bank’s profile, an Islamic institution, government-supported, with a trade finance book spanning corporate and investment banking, demonstrating effective TBML controls is not a back-office matter. It is a precondition for growth. With ClearTrade selected and implementation underway, the focus now shifts to execution. ย
Ajman Bank and Cleareye.ai will work together to embed the solution into the bank’s trade finance operations and compliance framework. But the logic of the investment is straightforward. The documents will keep looking fine. The question is how long it takes to find out when they are not.