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Association of Banks in Jordan Holds Introductory Session on AI Solutions for Compliance and Risk Management in Cooperation with aiNTEL
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Association of Banks in Jordan Holds Introductory Session on AI Solutions for Compliance and Risk Management in Cooperation with aiNTEL
Amman, 21 October 2026 – The Association of Banks in Jordan (ABJ), in cooperation with aiNTEL , a company specializing in artificial intelligence and risk intelligence solutions, held an introductory session at the Association’s premises to showcase the InGrav platform and its role in leveraging artificial intelligence and advanced data analytics to enhance compliance and risk management, while supporting efforts to combat money laundering and financial crime across the banking sector.
The session brought together representatives of ABJ member banks specializing in compliance, anti-money laundering (AML), and risk management.
Opening the session, Mr. Fadi Mashharawi, Director of the Studies, Policies and Planning Department at the Association, welcomed the company’s representatives and participants. He emphasized the growing importance of leveraging advanced technologies as financial transactions become increasingly complex and operational risks continue to evolve. He noted that such technologies can enhance the efficiency of customer screening and due diligence procedures, strengthen risk detection capabilities, and help banks keep pace with regulatory and supervisory requirements, while maintaining data confidentiality and protection.
During the session, aiNTEL representatives Mr. Basem Abu Ayyash, Chief Executive Officer, and Mr. Khalil Khalil, Regional Director, presented the company’s experience in the region, along with the technical capabilities of the InGrav platform. The platform is built on a specialized AI architecture that combines integrated data sources, a Knowledge Graph engine, and AI models to support customer verification processes, analyze relationships between individuals and entities, and identify risk indicators more comprehensively.
The presentation covered the platform’s capabilities for name screening and matching against international sanctions lists, including those issued by the U.S. Office of Foreign Assets Control (OFAC), the United Nations, and the European Union, in addition to screening for politically exposed persons (PEPs), identifying adverse media, and supporting enhanced due diligence procedures. The company also presented the platform’s capabilities for individual and batch data screening, continuous monitoring of relevant changes, alert generation, and documentation of screening processes to support audit and compliance requirements.
Discussions also addressed the challenges associated from the multiple ways Arabic names can be rendered in Latin script, which may result in false positives, increase review workloads, and delay transaction processing. In this context, the aiNTEL team demonstrated how AI algorithms can improve matching accuracy and reduce inaccurate results, alongside the use of optical character recognition (OCR) technologies to extract information from documents, records, and official newspapers relevant to risk and financial crime.
The session also explored the role of the Knowledge Graph engine in analyzing relationships between individuals and entities, uncovering indirect links, and identifying ownership and control structures, including beneficial ownership.