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Pelican AI Launches Fraud Alerts Optimizer to Help Financial Institutions Reduce Fraud Operations Costs and Customer Friction
New AI-powered FAO solution is designed to work with institutions’ existing fraud systems
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FAO analyzes alerts generated by a financial institution’s existing fraud detection systems and identifies alerts that are likely to be false positives before they consume fraud operations resources.
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Designed to reduce avoidable manual reviews, lower operating costs and limit unnecessary payment holds that create friction for legitimate customers.
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FAO is intended to operate as an intelligence layer on top of existing fraud controls, supporting lower integration complexity/cost and allowing financial institutions to retain their current fraud infrastructure.
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FAO expands Pelican’s suite of solutions across payments, financial crime compliance and trade finance.
Toronto, Ontario–(Newsfile Corp. – September 17, 2026) – Pelican AI (CSE: PEL) (“Pelican” or the “Company“), a provider of artificial intelligence-powered payments, financial crime compliance and trade finance solutions, today announced the launch of its Fraud Alerts Optimizer (“FAO”) and a beta pilot program for select financial institutions.
FAO is designed to address one of the most persistent cost drivers in financial institution fraud operations: Payment alerts that are generated as suspicious but ultimately prove to be legitimate. The product applies Pelican’s AI capabilities and transaction intelligence to alerts produced by a financial institutions’ existing fraud detection systems, helping identify false positives before they enter or advance through a manual investigation queue.
FAO evaluates fraud alerts using available historical transaction patterns, relevant market intelligence, known fraud indicators and other data permitted by the participating financial institution. Based on financial institution-configurable thresholds, governance and workflows, the solution is transparent and is designed to identify, suppress or deprioritize alerts assessed as likely false positives while escalating alerts that warrant closer review.
Because FAO is designed to layer on top of existing fraud detection technology, financial institutions can evaluate its potential benefits without replacing core systems. This approach is intended to reduce integration complexity and costs, protect existing technology investments and accelerate the path from pilot testing to broader deployment, subject to each institution’s technical, security, risk and regulatory requirements.
