Detecting Financial Document Manipulation in Insurance Underwriting

This case study highlights how Techsurance detected systematic ITR manipulation (including duplicate acknowledgment numbers and font discrepancies) in multiple ₹50 Lakh policy applications, leading to a successful decline of fraudulent risks.

Key Outcomes at a Glance

1
Recommendation-to-decision match rate with insurer
0 %
2
High-risk liability exposure successfully avoided
1 Cr+
3
Fraudulent applications onboarded to the insurer's portfolio
0

The Challenge (The Problem)

During the underwriting process for high-value life insurance policies (Sum Assured: ₹50,00,000), applicants frequently submit Income Tax Returns (ITR) as proof of financial eligibility. The challenge lies in identifying “perfectly forged” documents that appear legitimate at first glance but contain deep-level inconsistencies that signify financial misrepresentation.

Key Outcomes at a Glance

4

Data Editing

Manipulation of personal details, such as name and PAN, within the ITR.

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Mismatched Identifiers

PAN card details in the ITR do not match the official government records or other submitted KYC.
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Duplicate Acknowledgement Numbers

Using the same filing acknowledgement number for two different assessment years.
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Technical Anomalies

Inconsistencies in font styles, text alignment, and filing dates that do not match official system-generated patterns.

The Investigation (The Evidence)

Our “Eagle Eye” audit revealed specific instances of fraud across multiple applications

Case 01

Ghaziabad, UP

The ITRs of a shopkeeper for two consecutive years were found to have been edited. The PAN card number was manually changed, and the document showed clear signs of name manipulation.
Case 02

Hyderabad

A housewife’s application included a spouse’s ITR, with the 2023-24 acknowledgement number identical to the 2024-25 number, a technical impossibility in a legitimate filing.
Case 03

West Bengal

A 60-year-old applicant submitted ITRs with mismatched filing dates and acknowledgment numbers. Further forensic review showed inconsistent fonts and poor alignment of the acknowledgment text.

The Techsurance Solution

To combat these risks, we implemented a multi-stage verification protocol

Digital Forensic Analysis

Scanning documents for font variations, layer editing, and alignment issues that indicate manual tampering.

Cross-Reference Validation

Comparing acknowledgment numbers and filing dates against historical data patterns to ensure uniqueness and chronological accuracy.

Underwriter Expertise

Our specialized team performs deep-dive observations that go beyond automated checks to catch subtle manual edits.

The Result

Risk Mitigation

Successfully identified and suggested the "Decline" of high-risk applications, protecting the insurer from potential future claim liabilities.

Financial Integrity

Ensured that only applicants with genuine financial backgrounds were onboarded, maintaining the health of the insurer's portfolio.

Operational Excellence

Demonstrated a 100% success rate in matching Techsurance's "Suggested to Decline" recommendations with the insurer's "Final Decision".

Conclusion

Document fraud is becoming increasingly sophisticated. By combining technology with expert human observation, Techsurance provides the “Eagle Eye” necessary to ensure that financial proofs are 100% authentic.

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