Who should use the AI-Driven Fraud Prevention and AML Compliance workflow?
Teams or solo builders working on fraud prevention & compliance tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Fraud Prevention & Compliance
Use SEON's AI platform to detect fraud, automate AML checks, verify identities, and manage cases with low false positives.
Deliverable outcome
Fraud detection and AML screening are continuously optimized, maintaining low false positives and high detection rates.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Fraud detection and AML screening are continuously optimized, maintaining low false positives and high detection rates.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use SEON to seon platform is live and receiving real-time transaction data from your systems. Then, you pass the output to SEON to fraud detection rules and scoring thresholds are active, automatically classifying transactions. Then, you pass the output to SEON to aml screening runs automatically on all relevant events, with alerts for potential matches. Then, you pass the output to SEON to customer identities are verified automatically, with step-up verification for high-risk scenarios. Then, you pass the output to SEON to all flagged cases are organized in queues, assigned to analysts, and tracked with full audit history. Finally, SEON is used to fraud detection and aml screening are continuously optimized, maintaining low false positives and high detection rates.
Configure Data Sources and API Integration
SEON platform is live and receiving real-time transaction data from your systems.
Define Fraud Detection Rules and Risk Scoring Thresholds
Fraud detection rules and scoring thresholds are active, automatically classifying transactions.
Automate AML Checks and Sanctions Screening
AML screening runs automatically on all relevant events, with alerts for potential matches.
Implement Identity Verification Workflows
Customer identities are verified automatically, with step-up verification for high-risk scenarios.
Set Up Case Management and Review Queues
All flagged cases are organized in queues, assigned to analysts, and tracked with full audit history.
Monitor Performance and Tune Models
Fraud detection and AML screening are continuously optimized, maintaining low false positives and high detection rates.
Connect SEON's API to your existing transaction systems, customer databases, and external data feeds (e.g., payment gateways, KYC providers). Map fields such as email, IP, phone, and device fingerprint to SEON's input schema. Test the connection with sample data to ensure real-time data flow.
Why SEON: SEON provides API credentials and is the primary tool for configuring data sources and API integration for fraud prevention and AML compliance.
Using SEON's rule engine, create custom rules based on your business risk appetite (e.g., high-risk countries, velocity checks, device anomalies). Set risk score thresholds (0-100) to classify transactions as Accept, Review, or Block. Enable machine learning models for adaptive scoring.
Why SEON: SEON includes a rule engine and risk score configuration panel, directly supporting fraud detection rules and risk scoring thresholds.
Integrate SEON's AML module to screen customers against global sanctions lists (OFAC, UN, EU) and PEP databases. Configure automated checks to run at onboarding and periodically for existing customers. Set alerts for matches requiring manual review.
Why SEON: SEON includes an AML module and sanctions screening capabilities, directly supporting automated AML checks and compliance notifications.
Deploy SEON's identity verification (IDV) features to verify customer documents (passport, driver's license) and biometrics (selfie liveness). Set up step-up verification for high-risk transactions. Configure fallback to manual review if automated verification fails.
Why SEON: SEON includes identity verification with document checks, liveness, and address verification, directly supporting identity verification workflows.
Configure SEON's case management dashboard to organize flagged transactions and AML alerts into queues (e.g., Fraud Review, AML Review, IDV Failures). Assign roles and permissions to analysts. Enable bulk actions (approve, reject, escalate) and audit logging.
Why SEON: SEON includes a case management dashboard and reporting module, directly supporting review queues and role management.
Review SEON's analytics dashboard to track false positive rates, detection rates, and case resolution times. Adjust rule thresholds and ML model weights based on performance data. Retrain models periodically with new fraud patterns.
Why SEON: SEON includes an analytics dashboard, rule editor, and model retraining interface for performance monitoring and tuning.
§ Before you start
Teams or solo builders working on fraud prevention & compliance tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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