Build a Custom Manual Review Workflow for Enhanced Due Diligence
Blog post from Didit
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Manual review is an essential aspect of identity verification processes, complementing automated systems by addressing complex and ambiguous cases that require human judgment. It plays a crucial role in reducing false positives and preventing sophisticated fraud, ensuring businesses can smoothly onboard legitimate customers while blocking fraudsters. Effective manual review workflows are characterized by clear decision trees, defined triggers for reviews, and tools that allow for resubmission, thus minimizing friction for users. Advanced tools such as ID Verification, Passive & Active Liveness, and AML Screening enhance the manual review process by providing comprehensive data for informed decision-making. Didit's AI-native platform offers businesses a no-code visual builder for customizing review processes, streamlining workflows, and ensuring compliance, all while maintaining efficiency. The platform integrates various verification tools to empower reviewers, enabling them to make accurate decisions by providing a complete view of the identity verification process.
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