Fraud detection in today’s arena presents numerous challenges since fraud instances are present in all sources and walks of life. Technological innovations have always proven a boon for the Financial Crime and Compliance Industry with the ascent of big data and man-made consciousness, new freedoms have emerged in utilizing progressed AI models. With renewed promises to fight frauds and other financial crimes, it is imperative to look at intelligent solutions that can prevent and detect internal fraud. With regulators encouraging the use of advanced technologies like analytics, machine learning (ML), and other forms of artificial intelligence (AI) in managing FinCrime risks. We summarise our findings in the research for a reduction in False Positives and to increase the efficiency of fraud detection and conclude by deriving key values created and captured from our analyses.