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In life and disability underwriting, one of the most time-consuming and error-prone steps is verifying an applicant’s self-reported information.

Why? Because applications are long and detailed, and even when applicants are trying to be honest, omissions, intentional or not, are common. This is a growing concern across the industry, a recent Munich Re’s survey identified applicant misrepresentation as the most rapidly increasing form of fraud.

Sixfold’s Discrepancy Scan capability was built to address exactly this issue. Sixfold’s AI is now able to automatically flag mismatches between what applicants report and what’s found in their medical records, giving underwriters a faster, more standardized way to catch inconsistencies before they become costly.

When risk is hiding in the records

When someone applies for individual life or disability coverage, they complete a health questionnaire, like Part II, eMed, or a Med Supplement, disclosing conditions, medications, and history. From there, the underwriter kicks off verification: ordering APS reports, Rx histories, labs, and other third-party records. 

As these often hundreds of pages of documents arrive, the underwriter is essentially playing detective — comparing what the applicant said to what the medical records reveal. Did the applicant disclose all relevant conditions? Are they taking medications they didn’t mention? Is there a difference in diagnoses or treatment history?

Underwriters dedicate significant time to identifying discrepancies because they are critical. A person's prescription history can reveal underlying health issues, sometimes even before a formal diagnosis is made. For example, a prescription for a weight-loss medication might indicate an associated morbidity.

Any inconsistency could signal fraud or simply an oversight.​ Either way, it matters.

See below for a quick product walkthrough with Noah Grosshandler, Product Manager at Sixfold.

The feature is currently focused on medications, but that’s just the beginning. We're planning to expand this capability to detect discrepancies across pre-existing conditions, procedures, family history, and lifestyle factors—always guided by what’s material to each insurer.

Minutes vs. hours of detective work

Sixfold’s new capability eliminates a critical bottleneck in underwriting. The traditional approach of manually reviewing hundreds of pages to spot inconsistencies is both time-intensive and susceptible to oversight.

The Discrepancy Scan changes that completely, surfacing critical discrepancies automatically instead. The result is a more efficient process where underwriters can confidently assess risk based on complete information, without the administrative burden of document comparison.

“Sixfold goes beyond summarizing medical histories, we spotlight the contradictions that can change a morbidity assessment. By drawing connections across medical records, we emphasize the most crucial facts for investigation.

This approach transforms hours of detective work into minutes, providing underwriters with confidence and efficiency in their decision-making processes.”

— Lana Jovanovic, Head of Product @ Sixfold

Get the full story upfront

Accuracy is everything in life and disability underwriting. With Sixfold’s automatic discrepancy detection, underwriters are able to get to a more accurate underwriting decision by:

• Catching omissions and inconsistencies at the beginning of the review cycle
  
  
• Reducing misclassification of risk due to overlooked or conflicting information
  
  
• Detecting potential fraud patterns before they result in costly claims
  
  
• Maintaining consistency and transparency when cases move between underwriters 

How the feature works

The Discrepancy Scan automatically compares the self-reported application data against the supporting medical documents and flags any mismatches related to material facts.

Prescriptions are often a leading indicator of an underlying diagnosis, one that could directly impact insurability or rating decisions. But not every medication matters the same way, and what’s considered “material” varies from carrier to carrier.

By securely ingesting each carrier’s unique underwriting guidelines, Sixfold identifies which medications are truly relevant in each context, connecting the dots between prescriptions, diagnoses, and underwriting impact.

Here’s how the feature works in practice:

1. Medical Document Review
Sixfold’s AI reviews both the submitted application and any supporting documents uploaded (APS, MIB, Rx histories, etc.) for medical data relevant for risk assessment.

2. Discrepancy Detection
Sixfold then compares the findings in the medical documentation to what the applicant reported. If a medication appears in the documents but not in the application, it’s flagged as a discrepancy.

3. Discrepancy Alert
Within the underwriter's dashboard, discrepancies appear clearly labeled with clear icons. Clicking into a card brings up the relevant context e.g., “Blood thinner mentioned in the medical report, not disclosed by the applicant.”

4. Clear Next Steps
Underwriters can use this insight to request clarification from the applicant or additional documentation from providers.

5. Always-Current Monitoring
Because documents arrive asynchronously, the system continually updates as new files are uploaded. Discrepancies are flagged dynamically based on the most current information.

Learn More

Insurtech Insights takes a closer look at the Discrepancy Scan
Interested in a hands-on demo? Reach out for a Sixfold walkthrough

Today, we’re excited to introduce the first-ever AI Accuracy Validator built for insurance underwriting. 

This application provides our commerical insurance customers with a transparent and comprehensive way to evaluate Sixfold’s accuracy—reinforcing our commitment to bring reliable and trustworthy risk assessments to underwriters.

Why did we build this?

For an AI solution to truly add value in underwriting, it needs to be both efficient and accurate. Many claim to be both—but is there proof?

For an AI solution to truly add value in underwriting, it needs to be both efficient and accurate. Many claim to be both—but is there proof?

Measuring efficiency can be fairly straightforward—reducing manual work, processing submissions faster, and automating repetitive tasks all provide clear benchmarks. But accuracy? That’s a completely different challenge.

How does it work?

The Accuracy Validator compares Sixfold’s AI-generated insights to the ideal version—what an experienced underwriter at the carrier would expect. It checks for accuracy, scores the results, and provides feedback to improve alignment with human analysis.

Here is a video overview from Lana, Head of Product at Sixfold, on how the validator works:

AI that speaks Underwriter

‍‍For AI solutions built for underwriters, accuracy isn’t about finding a single “correct” answer—it’s about reasoning like an underwriter. Take a risk summary as an example, an AI-constructed risk summary shouldn’t just condense information; it should highlight the key risk factors that matter to each carrier.

But what happens if an AI summary leaves out a key risk detail? How do you measure how off it is? What do you compare it to? And when a model is updated, how do you know it’s actually improving accuracy—not just changing the output?

So we started searching for an evaluation tool that could help us answer these questions — but nothing existed.

These were the questions we asked ourselves. So we started searching for an evaluation tool that could help us answer these questions — but nothing existed. It wasn’t just that we couldn’t find the right tool—we realized the industry wasn’t even thinking about accuracy in an insurance-underwriting-specific way.

So, we built it. With this capability in place, we can continuously improve Sixfold’s output, ensuring underwriters receive factually correct, reliable, and actionable insights for every risk assessment.

Benefit #1 - Track progress over time

Evaluating AI accuracy isn’t just a one-time task—it’s about ensuring consistency and continuous improvement. With clear benchmark metrics, insurers can easily track progress and see how Sixfold’s AI aligns with their underwriting standards over time.

Accuracy benchmarks help insurers assess Sixfold’s performance during the pilot phase, ensuring it delivers value to the underwriting team before moving to full implementation.

Considering a Sixfold pilot? Accuracy benchmarks help insurers assess Sixfold’s performance during the pilot phase, ensuring it delivers value to the underwriting team before moving to full implementation. Want to keep tabs on accuracy? No problem. We offer on-demand reports to give our customers a real-time look at how well our AI is performing, whenever they need it.

Benefit #2 - Confident AI adoption

From day one, our goal has been to build an underwriting AI solution that users trust. If underwriters can’t trust Sixfold’s insights, why would they rely on them for critical decisions?

Even in low-stakes tasks, AI’s accuracy isn’t always guaranteed. Take general-purpose LLMs—they handle simple research tasks and tasks such as summarizing reports, but even then, you might find yourself second-guessing their output. They’re right sometimes—but how often? And can you tell when they’re not?

The result? More confident decisions, stronger justifications, and a clearer business case for when to quote—and when not to.

That kind of guesswork isn’t good enough for underwriting. The high-stakes decisions underwriters make every day demand high-stakes trust.

With transparent accuracy reporting, underwriters know exactly how reliable Sixfold’s insights are. The result? More confident decisions, stronger justifications, and a clearer business case for when to quote—and when not to.

Benefit #3 - Audit-ready records

To support insurers’ audit and compliance needs, we conduct regular assessments using this application — both after code updates and at scheduled intervals—to prevent model drift and ensure reliability. This process helps identify inconsistencies and flag any deviations from expected results before they impact underwriting decisions.

The Accuracy Validator generates a transparent, audit-ready log for each assessment, allowing insurers to:

✅ Verify the reasoning behind AI-generated insights and decisions.

✅ Monitor model performance over time to proactively address potential drift.

✅ Demonstrate compliance with regulatory requirements by providing clear, documented AI processes

Feedback from customers

As we’ve started to introduce this capability to insurers, the response has been overwhelmingly positive. Some have even asked if they can use it to evaluate some of their other AI applications — a very clear proof of its value from day one. Others have asked to use the Accuracy Validator outside of AI applications to monitor overall underwriting accuracy.

Another key feedback we’ve received is that no other AI solution offers this level of structured performance measurement and tracking.

Another key feedback we’ve received is that no other AI solution offers this level of structured performance measurement and tracking. Sixfold is the first to give insurers a clear way to validate AI impact and track results over time in underwriting.

Curious to learn how you can get started with Sixfold? Check out the FAQ section to learn more about our pilot program, designed to help insurers fully assess the value of Sixfold before scaling up.

Reach out with any additional questions!

Sixfold’s in-line citation feature is all about building trust and confidence with underwriters by making it effortless to trace the source of Sixfold’s insights. And now, with our latest update we’re making this feature even better on our commercial platform! 

So, what is new?

When reviewing an applicant’s case, you'll notice these improvements:

• Exact Source Page: No more searching through the entire document—now you’ll see the exact page where a fact was found.
• In-line Fact Attribution: Each fact provided by Sixfold will include a specific source citation.
• One-Click Verification: Click any citation, and it will instantly open the source page for you.
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It’s now even easier and more intuitive to check exactly where Sixfold’s insights came from—whether a questionnaire, loss run statement, webpage, or any other source. This improves traceability and gives underwriters extra peace of mind. No need to read through a full report or scroll through multiple pages to validate Sixfold’s insights.

“This feature exemplifies our commitment to building trustworthy and explainable AI with elegant simplicity.”

- Drew Das, AI Software Engineer

Get in touch to get a full demo of Sixfold's platform.

October 18, 2024 - Sixfold, the AI solution designed to streamline end-to-end risk assessments for underwriters, announced its partnership with AXIS, a global leader in specialty insurance and reinsurance, a collaboration that has yielded positive results in its initial rollout. Within the first month of deployment, AXIS underwriters leveraged Sixfold’s solution to improve efficiency, accurately classifying businesses and aligning cases with their risk appetite.

“This partnership is all about leveraging AI to empower our underwriters and even further enhance the service we provide to our customers. We were searching for a solution that could reliably deliver precision, and Sixfold has done just that and more.

The real game-changer has been the time savings—freeing up valuable hours so our underwriters can zero in on the work that drives results while ultimately benefiting the customer” said Josh Fishkind, Head of Innovation at AXIS.

“Our goal is to provide meaningful ROI for all our customers, and AXIS has already begun to see these benefits,” said Alex Schmelkin, Sixfold's Founder & CEO. “We look forward to continuing our partnership as AXIS discovers more ways Sixfold can enhance their underwriting processes.”

Read the full customer story here and check out the Insurance Post article covering our work with AXIS.

With our latest product updates, we’ve extended our commercial underwriting product with a suite of AI-powered features to facilitate end-to-end underwriting across all lines of business, scaling from transactional underwriting to complex, three-dimensional risks.

Sixfold’s number one superpower is to easily–and quickly–ingest carriers’ unique underwriting guidelines and automatically surface the submissions that match the carrier’s unique risk appetite. The platform empowers carriers to streamline the underwriting process by:

🔘 Analyzing publicly available information and ingesting data from multiple disparate sources in an instant for a comprehensive risk assessment

🔘 Generating a comprehensive summarization of the business’s operations and providing NAICS/SIC classification

🔘 Surfacing positive and negative risk factors tuned to a carrier’s unique appetite

🔘 Answering complex questions across large sets of documents

🔘 Prioritizing risks with an underwriter-facing dashboard for improved resource allocation

Over the past half, we’ve significantly matured our P&C underwriting platform with deep investments across accuracy, traceability, performance, and extensibility. Some of the key highlights include:

✔️ Improved Accuracy with Advanced Document Extraction  

As underwriters ask complex questions across large sets of documents, we’ve invested in new models to improve extraction across the universe of insurance documents. With Sixfold’s latest models, we’ve seen a 40% boost in accuracy in extracting data from the most illegible documents.

With our ongoing investments in extraction models tailored to the documents underwriters see daily, Sixfold ensures precise and reliable insights from large, challenging document sets, transforming how underwriters interact with data.

✔️ Appetite Match Scoring with Weighted Risk Scoring

To replicate underwriters’ cognitive processes, Sixfold is introducing weighted risk signals to reflect the nuance across how underwriting factors impact where a risk sits within a carrier’s appetite. Now, carriers can assign varying importance to different factors to prioritize risks more accurately based on alignment with their risk appetite.

✔️ Enhanced Transparency with Inline Citations

Not only can Sixfold answer complex questionnaires across lines of business, but now all answers are grounded in the original source material with citations to the most relevant sections for confident decision-making.

✔️ Bringing Risk Classification and Summarization Down to Seconds

With our continued commitment to investing in the Sixfold pipeline architecture to improve performance, availability, and resilience, we’ve brought down the median case processing time from 80 seconds to 31 seconds. With these enhancements, in less than a minute, Sixfold can research publicly available information to learn everything we can about a business and analyze the aggregated data for business summarization and NAICS/SIC classification.

✔️ Embed Sixfold across Underwriters’ Existing Workflows with our API

With the Sixfold API, carriers can seamlessly integrate Sixfold into existing workflows for enhanced productivity and unified risk management. From automated data gathering and ingestion to custom-tailored underwriting recommendations that can be embedded across existing workflows and systems, Sixfold cuts out the manual work and document handling overhead for 10x faster risk review processes.

✔️ Mitigating drift and bias with our Responsible AI framework 

Designed to navigate the rapidly evolving AI landscape confidently, Sixfold’s Responsible AI framework ensures carriers are well-insulated from risk with its enhanced auditability, data provenance, and traceability. By actively collaborating with regulatory bodies and legal counsel, Sixfold remains at the forefront of responsible AI innovation, safeguarding carriers with unparalleled diligence.

👀 Coming Soon: Research Assistant

Stay tuned for future launch updates to hear about upcoming capabilities like Sixfold’s Research Assistant, designed to find answers to complex research questions, all of which are grounded in the original source material with citations.

Want to see our new capabilities in action?
Get in touch →‍

With our latest product update, we’ve sharpened our focus on Life & Disability via a suite of AI-powered features that overcome common underwriting challenges.

Sixfold’s number one superpower is to easily–and quickly–ingest carriers’ unique underwriting guidelines and automatically surface the submissions that match the carrier’s unique risk appetite. Moreover, the platform empowers Life & Disability carriers to streamline the underwriting process by:

🔘 Ingesting data from multiple disparate sources in an instant

🔘 Generating a comprehensive summarization of the applicant's health history and lifestyle within minutes

🔘 Surfacing positive & negative risk signals aligning with the unique risk appetite of each carrier 

🔘 Triaging submissions with an underwriter-facing dashboard for improved resource allocation

We've significantly broadened our Life & Disability offerings by expanding into six key areas, facilitating us to quickly create a comprehensive 360-degree applicant profile in just minutes by: 

✔️ Reducing manual workload through improved document ingestion 

Our technology has been significantly enhanced to process and analyze an extensive history of lab results, diagnoses, and medication records, covering years or even decades.

The platform is proficient in ingesting data from various sources including APS files, MIB reports, labs, applications, supplementals, Electronic Health Records (EHR), and Fast Healthcare Interoperability Resources (FHIR) files. By automating the ingestion of these diverse data types, Sixfold eliminates the need for manual document handling by underwriters.

✔️ Refining risk evaluation with a holistic view of medications, treatments, lifestyle choices, and family history

The platform leverages advanced synthesis of adjacent applicant history information, including pertinent family medical histories and lifestyle attributes, to offer a comprehensive understanding of their broader health habits and disease predispositions.

By integrating details from submitted records—such as family diagnoses ("father was diagnosed with melanoma at 63, but was successfully treated")—with insights into exercise routines ("engages in moderate-intensity aerobic exercise and weight lifting"), hobbies ("applicant scuba dives several times per year"), and substance use ("consumes a few beers every few days"), Sixfold provides a holistic view of an applicant's health.

This comprehensive approach enhances the precision of assessments, enabling more informed decisions regarding risk.

✔️ Improving risk decision precision with in-depth analysis of health condition progression 

We are now able to aggregate data related to a condition, including adjacent factors like medication, to chronologically track the comprehensive progression of the condition across multiple data sources. By utilizing detailed health data and its evolution over time, we enable more informed and accurate underwriting decisions.

This approach provides a unique layer of detail, incorporating crucial health information over time, allowing underwriters to quickly grasp risk with relevant context, thereby informing more precise rating and pricing.

✔️ Enhancing fraud detection by identifying inconsistencies across sources

Underwriters are tasked with synthesizing and managing a vast amount of information from lengthy documents, including Attending Physician Statements (APS), self-reported data, laboratory results, and more. An important aspect of analyzing these documents is to identify inconsistencies or discrepancies that could arise from oversight or fraud. Instead of solely relying on underwriters to detect irregularities across diverse documents, Sixfold proactively identifies and flags these discrepancies to the underwriter.

The platform's automated capability to identify problematic areas empowers underwriters to make informed decisions, leading to more accurate pricing of premiums and greater reliability of applicant information, safeguarding both insurers and applicants.

✔️ Expanding traceability with full document and page number sourcing

Our recent achievement of SOC 2 Type 2 certification underscores our commitment to being a responsible AI solution.

In this release, we've taken traceability to the next level by ensuring underwriters have access to complete information sourcing, pinpointing the exact document and page for increased transparency and accuracy.

✔️ Boosting underwriting capacity with upgraded triaging functionality 

Sixfold's latest update introduces a streamlined dashboard experience, designed specifically to empower underwriters to efficiently prioritize applicants who meet their risk tolerance and gracefully set aside those who do not. This effectively addresses the common 'front door issue' in Life & Disability underwriting, which involves managing an overwhelming influx of submissions by automating the pre-processing of applications. Within minutes, Sixfold accurately identifies and aligns applicants with the carrier’s risk criteria, significantly easing the burden of manual sorting and enabling underwriters to focus on the most suitable cases.

Our newest updates equip life & disability underwriters with a complete, clear and accurate health snapshot for every applicant, pinpointing key data points without sacrificing our commitment to compliance and data privacy.‍

Curious to see it all live? 👉 Watch our 20-minute product demo.