Fraud in health insurance costs billions of dollars every year, draining resources that could otherwise improve patient care and reduce premiums. Detecting fraudulent claims is a complex challenge because fraudsters constantly change tactics to avoid detection. Traditional methods often fall short, relying on manual reviews or simple rule-based systems that miss subtle patterns. Enterprise AI offers a powerful way to transform fraud detection by analyzing vast amounts of data