SkilledgeHub has announced a one-day professional training programme in Karachi focusing on the use of automation, robotic process automation (RPA) and generative artificial intelligence in trade-based money laundering (TBML) detection and compliance. Titled “The Future of Trade Compliance: Automation, RPA & Generative AI in TBML,” the programme is scheduled for November 28, 2026, from 9:00 AM to 5:00 PM at Mövenpick Hotel Karachi. The training is designed to examine how financial institutions and trade-related businesses can apply technology to identify suspicious trade activities, improve compliance processes and manage financial crime risks. The programme will be led by Salim Thobani, who holds professional credentials including CAMLP, CTCS, TBML-ACAMS, ACSS and CSSP, and has more than 25 years of experience in trade operations and compliance. Haris Inam, Head of Digital Transformation, will join as a guest speaker, bringing experience in banking, technology and business innovation.
The programme will cover several areas relevant to financial institutions dealing with trade transactions and regulatory obligations. Participants will learn about TBML typologies and red flags used to identify suspicious trade documentation and transaction patterns. The curriculum also includes the application of automation and RPA to document workflows and routine compliance checks, alongside optical character recognition (OCR) and intelligent document processing (IDP) for cross-document matching. These technologies can be applied to examine trade-related information across different documents and support the identification of inconsistencies that may require further review. Another component will focus on practical generative AI use cases for screening, sanctions and compliance-related processes. The programme also intends to address the governance requirements associated with AI adoption, including audit trails, responsible AI use and regulatory alignment with relevant State Bank of Pakistan and Financial Action Task Force expectations.
SkilledgeHub has identified professionals from several banking and financial services functions as the intended audience. These include trade finance teams, trade compliance and TBML professionals, AML and CFT specialists, operations and transaction banking personnel, risk management professionals, internal audit teams, regulatory and compliance staff, and heads of digital transformation and operations. The programme is structured around the intersection of financial crime controls and technology-enabled compliance, making it relevant to professionals seeking to understand how digital tools can support existing monitoring and documentation processes. Rather than focusing only on the technical capabilities of automation and AI, the advertised curriculum also includes governance and regulatory considerations. This is particularly relevant as financial institutions assess the use of automated systems in processes where decisions and alerts may require documentation, review and accountability. The announcement, however, does not specify particular software platforms, AI models, hands-on exercises, certification arrangements or the number of participants expected.
The participation fee has been set at PKR 45,000, with an advertised early-bird discount of 15%. SkilledgeHub has also indicated that corporate discounts are available for organisations interested in registering multiple employees. Registration and corporate enquiries can be directed to info@skilledgehub.com or by calling +92 336 1365850. The event is scheduled as a full-day, in-person programme at Mövenpick Hotel Karachi, although the announcement does not provide a separate registration deadline or detailed terms for the discounted fee. Through the training, SkilledgeHub aims to bring together professionals working across trade finance, compliance, risk management and digital transformation to examine the practical role of emerging technologies in financial crime prevention. The session will provide an opportunity to discuss how RPA, document-processing tools and generative AI can be considered within trade compliance workflows while maintaining appropriate governance and regulatory controls.
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