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Home » Sixfold unveils AI-powered Discrepancy Scan for underwriting efficiency
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Sixfold unveils AI-powered Discrepancy Scan for underwriting efficiency

By adminMay 9, 2025No Comments2 Mins Read
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Sixfold, a generative AI company focused on insurance risk analysis, has launched a new product feature named Discrepancy Scan to boost underwriting efficiency. Sixfold, a generative AI company focused on insurance risk analysis, has launched a new product feature named Discrepancy Scan to boost underwriting efficiency. 

Sixfold, a generative AI company focused on insurance risk analysis, has launched a new product feature named Discrepancy Scan to boost underwriting efficiency. 

The release comes in response to growing demand for artificial intelligence across the insurance landscape, according to InsurTech Insights.

With fraud and misrepresentation costing the industry billions annually, insurers are increasingly seeking automated solutions to reduce human error, increase operational efficiency, and better assess applicant risks.

Discrepancy Scan is specifically built to streamline the traditionally manual process of reviewing life and disability insurance applications. It compares applicant-provided data with medical documentation—including prescription records and lab results—to flag discrepancies. These inconsistencies are highlighted in a clear dashboard, helping underwriters quickly spot undeclared medications or missing information.

Sixfold CEO Alex Schmelkin said, “The purpose of underwriting teams is to assess risk, but before they can do that, they have to play detective across volumes of medical records. We built Discrepancy Scan to relieve that burden, save underwriters hours of manual work, and allow them to concentrate on what really matters—making sound decisions for both applicants and organisations.

“Discrepancy Scan is another step in this process, as Sixfold continues to innovate in ways that empower underwriters, drive efficiency and accuracy for carriers, and expedite the experience for applicants.”

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