Intelligent applications to deal with fraud and money laundering are essential for modern risk management in financial services, banking and retail. However, AI projects dealing with fraud often miss out on funding because stakeholders span many organizations and need very different levels and types of information; from technical to financial evaluation, nuanced details can accelerate or stall a projects depending on how they are presented.