This review explores how artificial intelligence (AI) is improving fraud detection in Africa’s financial advisory services. We examine key use cases—such as anomaly detection, biometric verification, and AI-powered onboarding—across banking and fintech sectors. Drawing on real-world case studies, the review highlights measurable gains in fraud loss reduction and detection accuracy. Challenges including data scarcity, costs, and regulatory constraints are discussed. We conclude with recommendations for localized, responsible AI adoption to build safer and more inclusive financial systems across emerging African markets.