Fraud is now AI-powered and regulatory standards keep rising. Deloitte states that generative AI could result in fraud losses reaching $40 billion by 2027. Yet most financial institutions still run compliance through fragmented stacks of point solutions adopted one need at a time. Each tool decides in isolation, so blind spots emerge for compliance teams while operational costs climb.
This new CIO whitepaper, jointly developed by ADVANCE.AI, AWS and CIO.com, explores how a unified platform approach to client life cycle management (CLM) has become a structural requirement rather than an option. Learn how a single AI-driven decisioning layer connects onboarding with fraud detection and risk monitoring, so customers submit their documents once. Every decision, at every stage, feeds one audit trail.
This CIO whitepaper explores:
- The four risks that point solutions create when each tool decides in isolation.
- How risk-based orchestration moves legitimate customers faster while higher-risk profiles get deeper scrutiny.
- Why AI is the most effective line of defence against AI threat actors.
- Why fragmented compliance breaks down fastest in crypto and digital asset businesses.
How can AdvanGuard help?
AdvanGuard is an AI-powered platform for identity verification, compliance and fraud defence at onboarding. It brings identity document verification, liveness detection, face authentication, AML screening, KYB and proof of address into one flow through unified APIs and a single dashboard. It verifies identities at 99% accuracy, cuts fraud attempts at the onboarding stage by 80% and cuts manual review by up to 90%.
How does AWS support this?
Financial institutions are increasingly working with cloud and AI service providers such as Amazon Web Services (AWS) to improve scalability, resilience and deployment flexibility as they modernise compliance and onboarding infrastructure. Discover how AWS supports financial institutions with cloud technologies designed for agility, operational resilience and scalable innovation.