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Manual Review in KYC: Human-in-the-Loop Verification

Blog post from Didit

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Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

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Post Details
Company
Date Published
Author
Didit
Word Count
1,237
Company Posts That Month
37
Language
English
Hacker News Points
-
Post removed?
No
Summary

Manual review plays a crucial role in identity verification processes, particularly for complex, ambiguous, or high-risk cases that automated systems cannot fully resolve. It enhances accuracy and reduces false positives in Know Your Customer (KYC) practices, ensuring regulatory compliance and fraud prevention. Didit's platform facilitates efficient manual review by providing a centralized dashboard with all necessary data and tools, such as AML screening and ID verification, to streamline human-in-the-loop verification. Triggering manual review is essential when warning signals, low confidence scores, or high-risk scenarios are detected during automated checks. Effective manual review involves assessing warnings, inspecting documents, verifying biometrics, and analyzing risk signals to make informed decisions, with options to approve, decline, or request resubmission based on the findings. Best practices for manual review include establishing clear guidelines, providing training, documenting each review, regularly auditing the process, and leveraging technology like Didit to enhance efficiency.

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