Automated Investigation Workflows: Stop Fraud Faster

Key Takeaway 1 Fraud Operations teams spend up to 60% of their time on manual, repetitive tasks. Automation can reclaim this time for higher-value investigation.

Key Takeaway 2 Implementing automated workflows based on risk scoring significantly reduces false positives and focuses investigator efforts on genuine threats.

Key Takeaway 3 AI-powered tools within fraud investigation platforms can identify patterns and anomalies that humans might miss, leading to faster and more accurate resolutions.

Key Takeaway 4 A robust system for fraud investigation reduces chargebacks, lowers operational costs, and improves customer trust.

The High Cost of Manual Fraud Investigation

Fraud is a relentless and evolving threat. Traditional, manual fraud investigation processes are struggling to keep pace. Imagine a scenario: a fintech company processes thousands of transactions daily. Their fraud team relies on rule-based alerts and manual review of flagged transactions. This approach is reactive, slow, and incredibly expensive. A typical Level 1 investigator costs $70,000 - $100,000 per year, and their time is valuable. For every hour spent on a false positive, an hour isn’t available to investigate genuine fraud. A study by Juniper Research estimated that global fraud losses will exceed $343 billion by 2025. The current manual approach simply isn’t scalable or sustainable.

Building an Automated Investigation Workflow

The solution lies in building automated investigation workflows. These workflows leverage technology to triage alerts, gather supporting data, and prioritize investigations based on risk. Here’s a step-by-step breakdown:

1. Risk Scoring: Implement a robust risk scoring model that assigns a score to each transaction or user based on a variety of factors. These factors include velocity checks (number of transactions in a given timeframe), geolocation discrepancies, device fingerprinting, and data from third-party fraud intelligence sources. Didit’s internal data shows that incorporating device fingerprinting increases fraud detection rates by 15%.
2. Automated Data Enrichment: Automatically enrich flagged transactions with additional data points. This might include IP address lookup, email reputation checks, and social media profile information. This saves investigators valuable time that would have been spent manually gathering this data.
3. Case Management System: A centralized case management system is essential. This system should automatically create a case for each flagged transaction, assign it to an investigator, and track its progress through each stage of the investigation.
4. Workflow Automation: Configure automated workflows to handle different risk levels. For example, transactions with a low-risk score might be automatically approved, while those with a high-risk score are escalated to an investigator for manual review. Workflows can also incorporate automated actions, such as sending an SMS verification code to the user or temporarily suspending the account.
5. AI-Powered Anomaly Detection: Integrate AI-powered anomaly detection tools to identify unusual patterns and behaviors that might indicate fraud. These tools can learn from historical data and adapt to new fraud tactics.

A Real-World Example: E-commerce Marketplace Fraud

Let’s consider an e-commerce marketplace plagued by fraudulent seller accounts. Here’s how an automated workflow could address this:

1. Trigger: A new seller account is created.

2. Risk Scoring: The account is assigned a risk score based on factors like email domain age, billing address discrepancies, and bank account verification status.

3. Automated Data Enrichment: The system automatically checks the seller’s email address against known fraud databases and verifies the bank account details.

4. Workflow Branching:

• Low Risk (Score < 30): Account is automatically approved.
• Medium Risk (Score 30-70): Account is flagged for manual review. The investigator receives an alert with all relevant data.
• High Risk (Score > 70): Account is automatically suspended, and the seller is notified.

5. Manual Review (if applicable): The investigator reviews the flagged account, examines transaction history, and makes a final decision.

Implementing this workflow resulted in a 40% reduction in fraudulent seller accounts for one of our clients, saving them an estimated $250,000 per year in chargeback losses.

The Role of Risk Scoring in Effective Workflows

Risk scoring is the foundation of any successful automated investigation workflow. A well-designed risk scoring model accurately identifies high-risk transactions and users, allowing investigators to focus their efforts where they are most needed. Key considerations when building a risk scoring model include:

• Data Quality: Ensure that the data used to calculate the risk score is accurate, reliable, and up-to-date.
• Feature Engineering: Carefully select the features that are most predictive of fraud.
• Model Calibration: Regularly calibrate the risk scoring model to ensure that it remains accurate over time.

How Didit Helps

Didit's all-in-one identity platform provides the tools and infrastructure you need to build and deploy sophisticated automated investigation workflows. We offer:

• Comprehensive Identity Verification: Verify user identities with industry-leading accuracy using ID document verification, biometric authentication, and liveness detection.
• Robust Risk Scoring: Leverage our pre-built risk scoring model or create your own custom model.
• Workflow Automation Engine: Build complex workflows visually with our no-code workflow builder.
• Case Management System: Manage investigations efficiently with our centralized case management system.
• API Integration: Seamlessly integrate Didit into your existing fraud prevention stack.

Ready to Get Started?

Don't let manual fraud investigation processes hold you back. Request a demo today to see how Didit can help you automate your workflows, reduce fraud losses, and improve your team’s efficiency. Explore our pricing or contact us for a customized solution!