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Online: 3K+ Agents Active
Digital Worker 8 AI Agents Active

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.

8 AI Agents
8 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: fraud-investigation-orchestrator

Problem Statement

The challenge addressed

Fraud investigators face complex cases requiring analysis of multiple data sources and emerging fraud types including deepfakes, cryptocurrency scams, authorized push payment fraud, and real-time payment fraud. Manual investigations are time-consumin...

Solution Architecture

AI orchestration approach

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 (SA...
Interface Preview 4 screenshots

Fraud Case Details - Comprehensive case intake form capturing applicant information, address, application details, employment data, and initial risk signals

Live Investigation Console - Real-time multi-agent investigation with 8 specialized agents, execution stream showing 7 investigation phases, and technical metrics

Investigation Report - APPLICATION APPROVED decision with 96% confidence, showing 173.3s processing time, 7 agents deployed, process flow timeline, and detailed agent execution summary

Executive Dashboard - Business impact metrics including £2K annual savings, 100% automation rate, 94.8% detection accuracy, transformation impact, and operational performance analytics

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

8 Agents
Parallel Execution
AI Agent

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.

ACTIVE #1
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AI Agent

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.

ACTIVE #2
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AI Agent

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.

ACTIVE #3
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AI Agent

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.

ACTIVE #4
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AI Agent

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.

ACTIVE #5
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AI Agent

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.

ACTIVE #6
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AI Agent

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.

ACTIVE #7
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AI Agent

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.

ACTIVE #8
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

Deep fraud investigation platform that coordinates multiple specialized agents to investigate suspected fraud cases through 7 phases: Intake, Data Collection, Analysis, Synthesis, Decision, Action, and Completion. Features real-time agent collaboration, self-correction, and SAR generation.

Tech Stack

8 technologies

Deepfake detection ML models for document, video, and voice authenticity

Blockchain forensics and wallet analysis APIs

Cryptocurrency exchange and DeFi protocol integrations

Real-time payment system connections (Faster Payments, SEPA Instant)

APP scam detection with PSR compliance checking

Confirmation of Payee (CoP) service integration

SAR (Suspicious Activity Report) generation system

Multi-view dashboard framework for stakeholder outputs

Architecture Diagram

System flow visualization

Multi-Agent AI Fraud Case Investigation & Analysis Platform Architecture
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