Sold by: Deloitte Australia
APEX Fincrime Supervisor is an enterprise multi-agent system that automates Source of Wealth (SOW) investigations. It gathers data from internal and external sources, performs wealth-plausibility analysis, generates SOW reports, and manages escalations through coordinated agent workflows.
Overview
Key Capabilities: • Multi-agent orchestration: Supervisor, Profile, Transaction Intelligence, Document, Screening/OSINT, Knowledge and Communications agents working together for end-to-end SOW investigations. • Bedrock AgentCore: Secure identity-aware agent-to-agent/service communication. • Semantic knowledge: Bedrock Knowledge Base and S3 vectors • Enterprise security: Cognito, KMS, IAM least-privilege, Guardrails. • High availability: Multi-AZ deployment with automatic failover. • Real-time processing: SSE streaming and WebSockets. • MCP integration: AgentCore Gateway for KYC, core banking, document stores, World-Check, Google Search, case management (e.g. PEGA), and Teams/Email.
Included AWS Services:
- Amazon Bedrock (Models, Guardrails, Knowledge Base, Evals)
- Amazon AgentCore (Runtime, Memory, Observability, Identity)
- LangGraph
- Strands SDK, MCP Protocols
- S3 Vector, Cognito, Aurora PostgreSQL Serverless, Lambda, ECR
Highlights
- 65% Reduction in Manual Triage Time: Automated data extraction across required enterprise systems and structured wealth analysis significantly accelerates case handling and investigation turnaround. 75% Automation Coverage: AI-driven agents manage the majority of SOW investigation steps—including data gathering, plausibility assessment, report creation and preliminary recommendations—while human reviewers focus on final decisions and complex or high-risk scenarios.
- Enhanced Compliance: Automated audit trails record all actions, data consulted, and rationale applied, supporting AML/KYC obligations and providing a complete, reviewable investigation history. Risk Mitigation: Pattern-based wealth analysis, alignment of customer documents with observed financial behaviour, and comprehensive screening improve verification accuracy and reduce missed risk indicators.
- Improved Analyst Productivity: Analysts spend less time on repetitive data collection and document handling, enabling greater focus on judgement-based assessments and quality oversight. Consistent Quality: Standardised assessment criteria ensure uniform SOW evaluation across cases, reducing human variability and strengthening regulatory defensibility.
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Get in Touch:
Yun Zhi Lin Partner, Deloitte Cloud & Engineering yzlin@deloitte.com.au