The tool is designed to automate the detection of inconsistencies in life and disability insurance applications by comparing applicant-provided information with medical records. By flagging undisclosed medications and other critical mismatches, the AI-powered solution helps underwriters quickly identify potential red flags that could otherwise lead to errors, delays, or even fraud.
The launch comes at a time of growing AI adoption across the insurance sector, driven by increased confidence in the technology’s accuracy and efficiency. Insurers are looking to AI not only to improve operational performance but also to address long-standing challenges such as applicant misrepresentation and human error — both of which can have a major impact on risk assessments and loss ratios. Insurance fraud alone costs the industry billions each year, and recent research from Munich Re highlights misrepresentation by applicants as one of the fastest-growing threats.
Sixfold’s Discrepancy Scan is designed to alleviate the manual burden traditionally placed on underwriting teams. Rather than reviewing hundreds of pages of paperwork, including prescription records, attending physician statements (APS), and lab results, underwriters can now rely on the platform to automatically scan, ingest, and analyze documents without requiring any specific formatting. The AI compares what applicants disclose against the data found in their medical history, flagging only the inconsistencies that are material to the specific risk guidelines of each carrier. For example, if a medication like Metformin is detected in the prescription history but not listed in the application, the tool highlights the discrepancy instantly and provides contextual insights through an intuitive dashboard.
According to Alex Schmelkin, Founder and CEO of Sixfold, the feature is about returning time and focus to underwriting professionals. “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,” he said. “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.”
The AI operates through a four-step process: it scans and ingests all relevant documentation, compares disclosures against verified data, flags any meaningful mismatches, and continues tracking records in real time as new information is uploaded. While the tool is launching with an emphasis on medications — often a leading indicator of undisclosed conditions — Sixfold plans to expand its capabilities to include diagnoses, procedures, and lifestyle disclosures. The platform’s flexibility lies in its ability to securely ingest and apply each insurer’s unique underwriting guidelines, ensuring that only relevant discrepancies are surfaced.
Sixfold’s solution is fully HIPAA-compliant, prioritizing data security while delivering speed and accuracy. The company envisions a future where underwriters no longer need to manually sift through documents but instead receive actionable insights instantly. “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,” added Schmelkin.
The release of Discrepancy Scan follows a string of milestones for Sixfold, including its recent inclusion in CB Insights’ prestigious AI 100 list, which recognizes the most promising private AI companies in the world. With several of the world’s largest insurers already using its platform, Sixfold is positioning itself as a key player in the digital transformation of insurance underwriting.
