Alert-Driven Fraud Investigation System
## The Solution This digital worker deploys 11 specialized AI agents that work in parallel to investigate fraud alerts in real-time. The system fetches data from multiple sources, applies ML-based risk analysis, matches against known fraud patterns, and generates comprehensive evidence packages—all within seconds.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Agent Investigation Hub - Real-time multi-agent orchestration dashboard showing 11 deployed agents (Coordinator, Data Collection, Risk Analysis, Fraud Detection, Network Analysis, Compliance, Behavioral Analysis) with workflow phases, resource metrics, and live agent communication log
Decision Dashboard - AI-powered fraud investigation results showing 94% fraud probability (Critical Risk) with Block Transaction recommendation, technical analysis metrics, and anomaly detection algorithms (Isolation Forest, Benford's Law, Graph BFS/DFS network analysis)
Transaction Blocked - Fraud investigation completion screen showing executive summary with 19 critical findings, 67 total findings, 94% overall fraud risk, 99.2% AI confidence, and process summary documenting the blocked transaction outcome
Complete Red Flag Analysis - Analyst view displaying all identified risk indicators including New Vendor (High Risk), Amount Anomaly (10.4x baseline), Pattern Match to Known Fraud (92% similarity), with transaction details and recommended protective action
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Complex investigations require decomposing alerts into discrete tasks, managing agent dependencies, and ensuring timely completion within SLA requirements.
Core Logic
Powered by Claude-3.5-Sonnet, performs intelligent task decomposition based on alert type and severity. Manages agent lifecycle, monitors progress via observable streams, handles failures with automatic retry logic, and coordinates finding aggregation. Implements workflow versioning for audit compliance.
Data Collector Agent
Investigations require rapid data fetching from multiple heterogeneous sources including internal databases, external APIs, and partner systems.
Core Logic
Claude-3-Haiku-powered agent optimized for high-speed multi-source data retrieval. Implements parallel API calls with intelligent caching, handles rate limiting and retries, and normalizes data formats for downstream agent consumption. Supports ERP, treasury, and procurement system integrations.
Risk Analyzer Agent
Quantifying fraud risk requires statistical analysis of multiple risk factors and comparison against historical baselines and industry benchmarks.
Core Logic
Claude-3.5-Sonnet agent applying Bayesian probability models, Z-score anomaly detection, and ensemble ML methods. Calculates composite risk scores with confidence intervals, identifies primary risk drivers via SHAP analysis, and generates risk factor breakdowns for explainability.
Fraud Detection Agent
Identifying fraud requires sophisticated pattern matching against known fraud typologies while adapting to novel attack vectors.
Core Logic
Claude-3-Opus-powered agent for complex reasoning tasks. Applies trained ML models for fraud classification, matches request features against FBI IC3 and internal fraud pattern databases, and calculates similarity scores. Provides detailed reasoning chains for each fraud indicator detected.
Network Analysis Agent
Fraud often involves networks of related entities, shell companies, and suspicious relationship patterns invisible to traditional analysis.
Core Logic
Claude-3.5-Sonnet agent constructing entity relationship graphs. Applies community detection algorithms, identifies suspicious clustering patterns, traces beneficial ownership chains, and detects circular transaction flows. Visualizes network topology for investigator review.
Compliance Agent
Investigations must satisfy regulatory requirements across multiple frameworks while maintaining complete audit documentation.
Core Logic
Claude-3-Haiku agent validating investigation compliance against SOX, GDPR, PCI-DSS, and AML/CFT requirements. Verifies 4-eyes principle enforcement, segregation of duties, and data minimization. Generates compliance certificates and regulatory filing documentation.
Evidence Compiler Agent
Investigators need consolidated evidence packages with clear chains of custody and supporting documentation for decisions.
Core Logic
Claude-3.5-Sonnet agent synthesizing findings from all investigation agents into comprehensive evidence packages. Creates timeline reconstructions, generates executive summaries, and produces audit-ready PDF and JSON reports. Maintains cryptographic hashes for evidence integrity.
Behavioral Analysis Agent
Fraud detection requires understanding normal behavior patterns to identify anomalous activities that may indicate compromise.
Core Logic
Claude-3.5-Sonnet agent building behavioral profiles from historical data. Analyzes request timing, session patterns, device fingerprints, and user behavior biometrics. Calculates deviation scores and flags statistically significant anomalies with z-score analysis.
Geolocation Intelligence Agent
Geographic context reveals high-risk jurisdictions, impossible travel scenarios, and IP-based anonymization attempts.
Core Logic
Claude-3-Haiku agent performing geographic risk assessment. Maps IP addresses to locations, identifies VPN/TOR usage, validates jurisdiction against FATF high-risk lists, and detects impossible travel patterns. Correlates geographic data with vendor registered locations.
Document Intelligence Agent
Fraudulent submissions often include tampered documents, forged invoices, or manipulated supporting materials.
Core Logic
Claude-3-Opus agent applying computer vision and document forensics. Analyzes PDF metadata for tampering evidence, validates digital signatures, detects font inconsistencies, and compares against known legitimate document templates. Provides confidence scores for document authenticity.
Sanctions Screening Agent
Regulatory compliance requires real-time screening against constantly updated global sanctions lists and PEP databases.
Core Logic
Claude-3-Haiku agent executing parallel searches against OFAC SDN, EU Consolidated List, UN Security Council sanctions, and 200+ additional global watchlists. Screens associated parties and beneficial owners. Checks adverse media and PEP databases with fuzzy name matching.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization