NAVIGATION

The Cross-checking feature acts as an automated verification layer that enhances document integrity by systematically comparing extracted data fields across all submitted materials. By identifying equivalent information—such as matching an applicant's name on a bank statement with their details on a national ID—the system automatically flags discrepancies or inconsistencies. This ensures that the information remains authentic and consistent throughout the entire submission, reducing the need for manual oversight and minimizing the risk of data errors.

1. Objectives

Systematic Verification: Automatically compare equivalent data fields across all submitted materials to establish a unified and verified record of information.
Information Authenticity: Ensure the integrity of the submission by identifying discrepancies or inconsistencies between documents, such as matching names across IDs and statements.
Efficiency and Accuracy: Eliminate the need for manual cross-referencing, significantly reducing human error and accelerating the validation process for Credit Officers.

2. Feature grasp

A technical breakdown of the cross-checking feature.

Component	Description	Impact
Cross-checking fields	Aggregates findings from equivalent data fields across various documents that use different labels.	Ensures data consistency.
Validation Engine	Compares names, IDs, and addresses across various documents to find exact matches or records within a specified threshold.	Configurable results for Officers.
Summary/Download	Provides a summary of the cross-checking results for each source document, including an option to download the data in Excel format.	Delivers a ready-to-use analysis report to guide your next steps.

Key User Story

As a Credit Officer, I want to automatically compare equivalent data fields across all submitted documents so that I can ensure the applicant's information is consistent and authentic without manual cross-referencing.

3. Practical Use Cases

Real-world scenarios demonstrating the feature's value.

Scenario A: Identity Verification across Documents

Context: A customer provides a National ID card alongside a Payslip document.
Application: The cross-checking feature extracts the Full Name and ID Number from the National ID and compares them against the corresponding key-value pairs in the Payslip.
Outcome: Discrepancies are flagged if the identity details do not match, preventing potential fraud or data entry errors.

Scenario B: Date Reconciliation

Context: A customer provides an Employee Certificate alongside a new Passport application.
Application: The feature cross-references the "Date of Birth" field on the Employee Certificate with the corresponding "DOB" key-value pair extracted from the Passport.
Outcome: Ensures biographical data remains uniform across legal documents, highlighting any discrepancies for review.

Scenario C: Invoice Verification

Context: A business provides an Invoice alongside a corresponding Purchase Order.
Application: The system compares critical fields like the Invoice Number and Total Amount across the document set to ensure they align.
Outcome: Effectively identifies billing errors or financial inconsistencies, preventing numeric data mismatch and ensuring accurate review.

4. Step-by-Step Instructions

Cross-checking is configured by our team during the implementation phase. To facilitate this setup, clients must provide the following configuration details:

Source Selection: Identify the primary source documents and the specific data fields that will serve as the baseline for verification.
Target Mapping: Specify the target documents and the corresponding fields where the equivalent information should be found.
Matching Logic: Define the validation rule for each field pair, choosing between exactly matching or within a certain threshold.

5. Understanding the cross-checking

Cross-checking guidelines
Component	Description
Cross-checking field status	Green Icon (Match) - Confirms the cross-checking feature found matching information across documents.
Red Icon (Mismatch) - Flags a discrepancy identified by the cross-checking feature between data fields.
N/A (Incomplete) - The cross-checking feature could not locate the specific data field on the document or the information was not available on the document.
Cross-checking submission detail overview	The submission detail window displays immediate cross-checking results, highlighting mismatches found by the feature. Users can access a comprehensive breakdown of all verification checks by navigating to the full summary view.
Cross-checking result download	Allows users to export a full report of the cross-checking findings in Excel by navigating to the full summary view. This report provides a permanent record of all verified and flagged data fields for internal auditing.

6. Preview

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