Who should use the Fraud Prevention Order Screening workflow?
Teams or solo builders working on finance & accounting tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Finance & Accounting
Use FraudLabs Pro to screen orders in real-time, validate IP, email, phone, and credit card BIN, and set custom rules to prevent payment fraud.
Deliverable outcome
Fraud prevention system continuously improves, balancing security with customer experience.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Fraud prevention system continuously improves, balancing security with customer experience.
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 FraudLabs Pro to fraudlabs pro is connected and ready to screen every new order in real time. Then, you pass the output to FraudLabs Pro to each order is scored and flagged as approve, review, or reject based on real-time validation. Then, you pass the output to FraudLabs Pro to customer identity components are individually validated, revealing specific fraud signals. Then, you pass the output to FraudLabs Pro to custom rules automate decision-making, reducing manual effort while catching fraud patterns. Then, you pass the output to Sardine to all flagged orders are reviewed and resolved, preventing fraud without blocking legitimate customers. Finally, FraudLabs Pro is used to fraud prevention system continuously improves, balancing security with customer experience.
Integrate FraudLabs Pro API with Your Order System
FraudLabs Pro is connected and ready to screen every new order in real time.
Screen Orders for Fraud Indicators
Each order is scored and flagged as approve, review, or reject based on real-time validation.
Validate Customer Identity Components
Customer identity components are individually validated, revealing specific fraud signals.
Set Custom Fraud Rules and Thresholds
Custom rules automate decision-making, reducing manual effort while catching fraud patterns.
Handle Manual Review Queue
All flagged orders are reviewed and resolved, preventing fraud without blocking legitimate customers.
Monitor and Refine Fraud Prevention Performance
Fraud prevention system continuously improves, balancing security with customer experience.
Obtain your API key from the FraudLabs Pro dashboard and implement the API call in your checkout or order processing pipeline. Ensure that each incoming order triggers a screening request with required fields (IP, email, phone, billing address, credit card BIN).
Why FraudLabs Pro: FraudLabs Pro is the primary tool for this step, as it provides the API needed for integration with order systems like Shopify or WooCommerce.
For each order, send the customer's IP address, email, phone number, and credit card BIN to FraudLabs Pro. The API will return a risk score, fraud status (approve/review/reject), and detailed validation results for each data point.
Why FraudLabs Pro: FraudLabs Pro directly screens orders for fraud indicators like IP geolocation, proxy usage, and email/phone reputation.
Review the individual validation fields returned by FraudLabs Pro: IP geolocation matches billing country, email domain is legitimate and not disposable, phone number is valid and not a VoIP, and credit card BIN country matches the billing address. Flag mismatches for manual review.
Why FraudLabs Pro: FraudLabs Pro validates customer identity components like email, phone, and IP geolocation, which are core to this step.
In the FraudLabs Pro dashboard, define custom rules to automatically approve low-risk orders (score < 20), flag medium-risk orders (score 20–50) for manual review, and reject high-risk orders (score > 50). Add rules for specific triggers like mismatched BIN country or disposable email.
Why FraudLabs Pro: FraudLabs Pro includes a rule engine for setting custom fraud rules and thresholds, directly matching this step's needs.
Orders flagged for review should be placed in a manual review queue. Review the detailed fraud report, contact the customer if needed, and decide to approve or reject. Update the order status accordingly in your system.
Why Sardine: Sardine includes identity verification and fraud detection features that can support a manual review queue with detailed case data.
Regularly review fraud reports from FraudLabs Pro, track false positive rates (legitimate orders rejected) and false negative rates (fraudulent orders approved). Adjust thresholds and rules based on trends, new fraud patterns, or changes in your product mix.
Why FraudLabs Pro: FraudLabs Pro provides an analytics dashboard for monitoring and refining fraud prevention performance.
§ Before you start
Teams or solo builders working on finance & accounting 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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