4 Intro Investigation Challenges Step 1: Fuse Data Step 2: Define How Information is Presented Step 3: Surface Suspicious Transactions Step 4: Prioritize Leads Step 5: Detect Suspicious Activities Step 6: Construct the Narrative Step 7: Map the Network About NEXYTE Decision Intelligence Approach Taking a Decision Intelligence Approach in AML Investigations Decision Intelligence is the practical application of analytics, machine learning and AI technologies to augment and improve human decision making. Applying a Decision Intelligence approach allows AML investigative teams to detect money laundering networks more effectively and uncover the financial entities enabling them. Rather than looking at one transaction surfaced by a business rule, investigators would look at a full sequence of events, extracted from multiple data sources, within a chronological, geographical, and situational context. For example, rather than simply seeing the details of a suspicious financial transaction, an investigator could receive an alert about suspicious indicators, such as: Account has been dormant for two years Account beneficiary has a low credit score Company has 5 accounts located in 3 countries Account beneficiary signs for 8 separate companies With the holistic view, detailed context and machine learning based risk scoring provided by decision intelligence platforms, investigators can focus on the highest priority transactions, construct a full investigation narrative, and accelerate their analysis in order to resolve cases faster. Traditional approach + Limited, disconnected data sources + Focused on transactions + Linear, binary narratives Decision Intelligence approach + Multiple, diverse data sources + Focused on highest risk entities + Connections based on context + Uncover previously hidden links draw map of events & construct full narrative