How to Build a Simple, Modular, and AI-Powered Fraud Detection Workflow

The blog provides a comprehensive guide on building an AI-assisted fraud detection workflow using Orkes Conductor, designed for developers seeking a scalable and modular solution. It outlines a system where AI-generated prompts evaluate transactions, assigning fraud risk scores that determine whether cases are automatically processed or require human review, enhancing both audibility and flexibility. The workflow consists of multiple sub-processes, such as generating transaction data, scoring risk levels, and executing payment flows, each of which can be independently updated as fraud patterns evolve. This modular approach ensures that the system remains adaptable and easy to manage, offering a robust defense against fraud attempts. The guide emphasizes the ease of building this workflow through the Conductor UI without the need for backend coding, while also providing options for developers to integrate and test code programmatically.

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