Sixfold, a company focused on generative AI for insurance risk analysis, has launched a new feature called Discrepancy Scan.
The tool automates the identification of inconsistencies in life and disability insurance applications by comparing applicant-submitted data with medical records.
It flags mismatches such as undisclosed medications, helping underwriters identify issues that could lead to errors, delays, or fraud.
This release aligns with the broader trend of AI adoption in insurance, where technology is being used to improve risk assessment, reduce manual effort, and limit fraud. Insurance fraud costs the industry several bn dollars annually.
Recent findings from Munich Re point to applicant misrepresentation as a growing risk.
Discrepancy Scan eliminates the need for underwriters to manually review extensive documentation such as prescription records, attending physician statements, and lab reports.
The platform scans and analyzes unstructured medical data and compares it to what applicants disclose. Any material discrepancies—those relevant to a carrier’s underwriting guidelines—are flagged for review.
For example, if Metformin appears in a prescription history but is missing from the application, the tool identifies the omission and presents it with context through a dashboard.
According to CEO Alex Schmelkin, the feature was developed to free underwriting teams from time-consuming document analysis. He noted that underwriters should be focused on evaluating risk, not piecing together information from disparate medical files.
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
Alex Schmelkin, Sixfold CEO
“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 organizations,” Alex Schmelkin said.
The process follows four steps: scanning documentation, comparing disclosed and verified data, identifying material mismatches, and continuously tracking records as updates occur.
Initially focused on medications, the tool will expand to include diagnoses, procedures, and lifestyle disclosures. It adapts to each insurer’s specific underwriting rules, ensuring relevance in the flagged results.
The platform is fully HIPAA-compliant, with a strong focus on data security. It is built to deliver immediate, actionable insights to improve efficiency and accuracy.
Schmelkin said the feature marks another step in the company’s efforts to modernize underwriting workflows for both carriers and applicants.
Sixfold continues to position itself as a key technology provider in the shift toward automated insurance underwriting.
