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1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.I N D 3 5 1Design a multi-expert system for fraud investigation with AI agentsAlly Meringer(she/her)AI Startups Solutions ArchitectShivanjani Pathipaka(she/her)Proto
2、typing Solutions Architect 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AgendaUse CaseAgentic Frameworks and ToolsWhiteboardExampleResources 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Use
3、 Case 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Business Use CaseAs digital transactions continue to proliferate,financial institutions and payment processors are increasingly turning to artificial intelligen
4、ce and machine learning to enhance their fraud detection and investigation capabilities.The integration of AI-powered systems into fraud investigation workflows represents a transformative approach for many organizations in the financial sector.By leveraging multi-expert AI systems,companies can aut
5、omate routine aspects of fraud investigations,enabling human investigators to focus on more complex cases that require nuanced judgment.This not only improves the efficiency of fraud detection teams but also enhances the overall accuracy of fraud identification.2025,Amazon Web Services,Inc.or its af
6、filiates.All rights reserved.Desired OutcomesFollow company guidelines and policies for investigating based on flagged indicatorAccess relevant data from backend systemsResearch internet presenceConsolidate findings into relevant summary 2025,Amazon Web Services,Inc.or its affiliates.All rights rese