Multi-Agent AI Fraud Case Investigation & Analysis Platform
Deploys 8+ specialized investigation agents working in parallel with real-time visualization, agent self-correction mechanisms, and multi-view outputs for executives, technical teams, and analysts. Generates regulatory Suspicious Activity Reports (SARs) automatically.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
AI Agents
Specialized autonomous agents working in coordination
Investigation Workflow Coordinator
Complex fraud investigations require coordinated analysis across multiple specialist agents with proper sequencing, data sharing, and consensus building for final recommendations.
Core Logic
Manages investigation phases from intake through completion, coordinates specialist agents, synthesizes findings into unified recommendations (approve/decline/escalate/refer_law_enforcement), handles agent consensus voting (unanimous/majority/split), manages self-correction when contradictory evidence is found, and produces multi-view outputs for different stakeholders.
AI-Generated Content & Document Authenticity Analyzer
Fraudsters increasingly use AI-generated documents, video spoofing, and voice clones to bypass identity verification. Detecting deepfakes requires specialized analysis techniques.
Core Logic
Performs document authenticity analysis including GAN fingerprint detection, frequency analysis, compression artifact analysis, and metadata anomaly detection. Identifies generative model signatures (Stable Diffusion, DALL-E). Analyzes video liveness through blink rate, micro-expression, face mesh consistency, and audio-video sync. Detects voice clones via voice print matching and spectral anomaly analysis.
Cryptocurrency & Blockchain Fraud Analyst
Cryptocurrency-related fraud including rug pulls, pig butchering schemes, romance scams, and OFAC-sanctioned transactions require specialized blockchain forensics and wallet analysis capabilities.
Core Logic
Performs wallet risk scoring with scam identification, mixer/privacy coin detection, sanctioned address checking, darknet exposure analysis, and chain-hopping detection. Analyzes tokens for rug pull risk, honeypot detection, and liquidity lock status. Identifies investment scam indicators including promised returns, pressure tactics, Ponzi patterns, and celebrity endorsement fraud. Traces funds through blockchain forensics.
Real-Time Payment Fraud Analyzer
Faster payment systems enable rapid-fire fraud on real-time rails. Detecting RTP fraud requires velocity analysis, recipient risk assessment, and behavioral analysis before irrevocable payments are processed.
Core Logic
Performs velocity checks on transactions in last 24 hours, amount thresholds, new payee risk, timing anomalies, and device changes. Assesses recipient risk including payee account age, mule account indicators, and recent fraud reports. Analyzes behavioral signals like session duration, hesitation patterns, coaching indicators, screen sharing, and remote access detection. Recommends allow/delay/block/authenticate actions.
Authorized Push Payment Scam Detection Specialist
Social engineering scams trick victims into authorizing payments to fraudsters. PSR regulations require detection of APP fraud and assessment of reimbursement eligibility for victim protection.
Core Logic
Classifies scam types (purchase, investment, romance, impersonation, invoice fraud, advance fee). Identifies victim vulnerability through age, financial stress, life events, and previous victimization. Analyzes communication for urgency language, fear tactics, authority impersonation, and payment coaching. Validates Confirmation of Payee results and warning dismissals. Performs PSR compliance checking for gross negligence, reimbursement eligibility, and PSP liability allocation.
Identity Verification & Document Analysis Specialist
Fraud investigations require deep identity verification including document forensics, biometric analysis, and cross-reference checking against authoritative databases to confirm or refute identity claims.
Core Logic
Performs comprehensive identity verification through document forensic analysis, biometric matching, electoral roll verification, and identity graph traversal. Analyzes document authenticity markers, validates claimed identity against bureau records, and identifies synthetic identity indicators through tradeline analysis and credit footprint evaluation.
Fraud Network & Connection Analysis Specialist
Complex fraud cases often involve connected entities and organized fraud rings. Mapping these relationships reveals the scope of fraud schemes and identifies additional suspects.
Core Logic
Traverses entity relationship graphs to identify connected applications, common addresses, shared devices, and linked accounts. Applies graph analytics for centrality scoring and community detection. Correlates across consortium fraud databases and identifies velocity anomalies indicating coordinated activity.
Suspicious Activity Report Generator
Regulatory compliance requires filing Suspicious Activity Reports for fraud cases meeting reporting thresholds. Manual SAR preparation is time-consuming and error-prone.
Core Logic
Automatically generates SAR narratives from investigation findings, structures required data fields per regulatory format, calculates reporting thresholds, and produces audit-ready documentation. Ensures compliance with FCA reporting requirements and maintains evidence chain for potential law enforcement referral.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
8 technologies
Architecture Diagram
System flow visualization