Detect fraud faster. Pay genuine claims sooner.
AI-powered fraud prevention for insurers, financial institutions, retail and more. Reduce losses, protect margins, and deliver faster claim experiences.
Fight back against fraud while rewarding honest customers
Combining rule engines, machine learning, image analysis and Social Network Analysis (SNA) to automatically score claims, uncover fraud rings, fast-track genuine claims, and surface suspicious files that need human investigation.
Reduce Payment Leakage
Detect organized and subtle frauds before pay-out with advanced ML and network analysis.
Faster Throughput
Automatically clear low-risk 'clean claims' while routing high-risk claims to investigation.
Operational Efficiency
Fewer manual checks, higher daily throughput per investigator with intelligent automation.
Explainability & Auditability
Rules + scored evidence make decisions traceable for compliance and regulatory requirements.
How FraudFlow Works
A comprehensive AI-powered workflow that transforms raw claims into intelligent decisions
Claim Input
Receive claim files with all supporting documentation
Policy details, claimant information, photos, invoices, repair shop data, and prior history are ingested into the system.
Advanced AI Techniques
Four powerful technologies working together to catch sophisticated fraud
Rules & Heuristics
Fast deterministic rules catch obvious cases like duplicates and blacklisted vendors with explainable logic.
Image & Text Analysis
Computer vision on photos, OCR on invoices, and NLP on free-text descriptions to detect manipulation.
Social Network Analysis
Build link graphs across entities and score suspicious connectivity to uncover organized fraud rings.
ML Ensemble Scoring
Machine learning models output fraud probability + secondary risk scores with continuous learning.
End-to-End Process Flow
Claim Input
Policy, photos, invoices
AI Analysis
Rules, ML, CV, SNA
Risk Scoring
Fraud probability
Decision
Pay, investigate, or hold
See FraudFlow in Action
Watch how our AI catches fraud that traditional methods miss
Comprehensive Fraud Detection Suite
Modular components that work together to provide complete fraud detection coverage, from basic screening to advanced predictive analytics.
Fraud Flow Detect
Base module that ingests claims metadata, performs feature extraction, initial rule checks, and baseline scoring.
Key Features:
- Rule-based screening
- ML-powered scoring
- Feature extraction
- Baseline fraud detection
Fraud Flow Network
Social Network Analysis that maps relationships between people, vehicles, repair shops, and addresses to uncover fraud rings.
Key Features:
- Link analysis
- Fraud ring detection
- Relationship mapping
- Pattern recognition
Fraud Flow Image Map
Computer vision to detect duplicate photos, manipulated images, and inconsistencies between images and claimed damage.
Key Features:
- Duplicate detection
- Image manipulation analysis
- Damage verification
- Photo forensics
Fraud Flow Internal Audit
Case management & workflow for auditors to consolidate evidence, attach notes, escalate, and track audit KPIs.
Key Features:
- Case management
- Evidence tracking
- Audit workflows
- KPI monitoring
Fraud Flow Clean Claim
Automated fast-track for low-risk claims with SLAs, digital approvals and automatic payments where policy allows.
Key Features:
- Automated processing
- SLA management
- Digital approvals
- Instant payouts
Fraud Flow Predict
Machine learning models that predict fraud likelihood, recommend next actions, and estimate recovery amounts.
Key Features:
- Fraud prediction
- Action recommendations
- Recovery estimation
- Risk scoring
Seamless Integration
Deploy on-premises, in the cloud, or hybrid. Integrates with existing claims processing systems, document repositories, and BI tools while maintaining data privacy and compliance.
Measurable Impact from Day One
FraudFlow delivers tangible results that improve your bottom line while enhancing customer experience.
Get Started
Three simple steps to transform your fraud detection capabilities
Request a demo
See FraudFlow in action with your specific use cases
Pilot with your portfolio
4-8 week pilot with sample dataset and live scoring
Scale across your business
Full deployment with measurable ROI and ongoing optimization
Trust & Compliance
FraudFlow is designed with enterprise-level auditability, transparency, and regulatory compliance in mind.
Turkish Insurance Market 2024
Massive market opportunity with significant fraud prevention potential
With 55% of written premiums (61.7B TL) resulting in paid claims (17.6B TL), insurance companies face significant exposure to fraudulent claims. Even a 1% reduction in fraudulent payouts could save the industry hundreds of millions of Turkish Lira annually.
Start Your Pilot Program
Get measurable results in 4-8 weeks with our proven pilot approach
Industry-Specific Fraud Detection
Insurance
Claims Processing & Fraud Ring Detection
Real-World Scenario
A claim arrives with photos that match pictures previously used in claims with different names and vendors. Image Map flags the duplicate images; Network maps a repair shop that appears in many of those claims; Predict outputs high fraud probability. The file is routed to Special Investigation instead of immediate payment — preventing a wrongful payout and triggering further probe that may identify a ring.
Payout Leakage Reduction
Detect organized and subtle frauds before pay-out with advanced ML and network analysis
Clean Claim Automation
Fast-track genuine claims while routing suspicious ones to investigation
Fraud Ring Detection
Uncover organized fraud networks through social network analysis and pattern recognition
Financial Institutions
Transaction Fraud & Account Takeover Prevention
Real-World Scenario
A series of high-value transactions from different locations trigger FraudFlow's network analysis. The system identifies linked devices, similar transaction patterns, and suspicious timing across multiple accounts. ML models flag coordinated account takeover attempts while rules engine catches known fraud patterns. Legitimate transactions are fast-tracked while suspicious ones are held for investigation — preventing millions in losses while maintaining customer experience.
Fraud Prevention
Stop account takeovers, synthetic identity fraud, and coordinated attacks before losses occur
Real-Time Scoring
Instant risk assessment for transactions, loan applications, and account changes
Regulatory Compliance
Built-in audit trails and explainable decisions for regulatory requirements
Retail & E-commerce
Chargeback Reduction & Return Fraud Detection
Real-World Scenario
A customer attempts to return expensive electronics with suspicious patterns: multiple returns from the same IP address, similar product categories, and timing that matches known fraud rings. FraudFlow's image analysis detects that returned items don't match original purchase photos, while network analysis reveals connections to other fraudulent accounts. The system flags the return for manual review while automatically approving legitimate returns — reducing chargeback losses by 40% while improving genuine customer experience.
Chargeback Prevention
Reduce friendly fraud and illegitimate chargebacks through early detection
Return Fraud Detection
Identify suspicious return patterns and protect against return fraud schemes
Customer Loyalty
Fast-track legitimate customers while stopping fraudsters
Questions About Implementation?
Our fraud detection experts are here to help you get started
Ready to Transform Your Fraud Detection?
Get started with a personalized demo and see how FraudFlow can reduce your losses while improving customer experience.
Request a Demo
Contact Information
We're here to help you with your fraud detection needs. Reach out to us through any of the channels below, and our team will get back to you promptly.
info@fraudflow.ai
Phone
+90 216 999 70 00
Address
Istanbul, Turkey
Response Time
Within 24 hours
Ready to Fight Fraud?
Get a free consultation with our fraud detection experts to discuss your challenges and explore how FraudFlow can protect your business.