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Life & Health
A Guide to Life & Health Underwriting Technology in 2026
A practical breakdown of the five main AI and tech solutions available for Life & Health underwriting, and how to figure out which one actually fits what your team is trying to solve.
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Working With the AI Underwriter
Hear directly from Melissa Butt, a 20+ year commercial property underwriter and VP of E&S Brokerage, Property, at Skyward Specialty, on what it's like to use the AI Underwriter.
Melissa Butt, Vice President E&S Brokerage, Property, at Skyward Specialty, has spent more than 20 years underwriting commercial property. She's been using the AI Underwriter on live submissions and we asked her what that’s been like.
First impressions
Melissa's assumption going in was that AI in underwriting meant workflow or operational automation, scrubbing data, prefilling fields. That assumption wasn't wrong, exactly. The tool does cut out a lot of manual legwork:
"It eliminated the screen jumping. You don't have to go from one system to another. Instead, it’s putting it all together so that you're reviewing the pertinent information, with the flexibility to align that information to your viewpoint."
For Melissa, what really changed her day-to-day life was what the AI Underwriter does after it's pulled relevant facts together, when it gets to the real underwriting work. It arrives with underwriting knowledge already built in, then layers in what it learns about a specific carrier's appetite and each underwriter's way of working. That combination is what builds a narrative shaped to underwriters’ own judgment:
"It applies what it knows and what it’s learned from you into a narrative aligned with your individual underwriting point of view."
That narrative comes paired with recommended next steps, and Melissa said she's acting on the next step recommendations more often than not. The AI Underwriter isn’t stopping at an appetite-aligned score or summary, it’s working through real underwriting considerations and next steps: declining a bad fit, flagging what's missing from a broker, initiating a referral.
"I frequently agree with the next steps. Maybe you have missing information and need to reach out to your broker, or an exposure is in a gray area and you should consult a peer or your guidelines. It can trigger a referral and help you narrate it, saving time, energy, clicks. All underwriters want to save clicks."
"Wow, it really knows underwriting” moments
When asked what moments stood out that made her excited to continue using Sixfold, here’s what Melissa had to say.
On a rare occupancy type her market doesn't see often:
"I got a very rare occupancy in one of my submissions, food irradiation. We don't see those a lot, even in our market. What really surprised me was not only did it understand what the food irradiation process was, it allowed me to understand the process, too. It said here's some additional information you may want or need, and here's some questions to go back and get answered from your broker."
On a routine loss-history check, where the AI Underwriter pulled in some surprising research:
"The system scrubbed the loss history we received, but it also went out and looked at the web for additional information. What it discovered was that the property was one of the few buildings on the block that did not recently have a fire, which was significant when writing property insurance."
A favorite feature
Melissa was most excited about the AI Underwriter’s chat interactivity:
"The chat interaction is huge. If I had to point to one thing that makes this tool the most functional, it’s the chat."
The reason: it lets her resolve a question the moment it comes up, without leaving the platform. The chat is connected to the same underlying analysis built for that submission, so digging deeper or providing additional context feeds right back into the narrative and next-step recommendations, as well as the AI Underwriter’s overall memory.
On one submission, the initial read on a recycling-related exposure was that the business was a metal processor. Melissa concluded it was actually a transfer station, and used the chat to guide the AI Underwriter in a new direction:
"I let the chat know it isn't a true recycling exposure, it's actually a transfer station, and asked how that changes the loss history, the rating, the narrative. It's similar to talking to a peer: hey, I'm not sure, what do you think? And the system responds."
Advice for a skeptical peer
We asked Melissa what she'd say to another underwriter who isn't sure what to make of something like this:
"Don't be afraid. Yes, it's technology. Yes, it's new. But it's not here for your job. It's here to make your job more efficient and to make your experience stronger. Treat it like you've treated every other tool in your arsenal as an underwriter: challenge it, try to break it, because then it's just going to become stronger. It's a tool. It's a peer. It will interact with you so that you are a stronger underwriter."
Learn more about Sixfold’s latest P&C offering, the AI Underwriter.
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Meet the AI Underwriter
Sixfold is launching the AI Underwriter, an agentic colleague that does the analytical work, holds institutional memory, and tells underwriters what to do next.
Three years ago, Sixfold launched the first AI product built for insurance underwriting.
Since then, we’ve learned what it takes for AI to earn a place in an underwriter’s workflow. It has to do more than read and summarize a submission. It has to support judgment in context.
We learned this by processing more than 1.5 million submissions across more than 50 lines of business for carriers including Zurich, Skyward Specialty, Generali GC&C, Guardian, AXIS, and New York Life in North America, Europe, South America, and Australia.
A great underwriter holds an enormous amount in their head. The risk. The carrier’s appetite and guidelines. The broker’s history. The shape of the portfolio. Similar cases they have seen before. Where the carrier is willing to bet.
Even the best underwriters hit two limits.
First, no one can hold their entire book in memory. Every interaction with a broker. Every similar risk. Every detail of the underwriting guidelines. It’s too much information to carry and recall for every decision.
Second, underwriters mostly learn from the cases on their own desk. What the underwriter next to them knows often stays there. Institutional knowledge that should compound across a team doesn’t.
Today, we're launching something new to solve both. The AI Underwriter.
From Submission to Recommendation
The first version of Sixfold was about providing relevant risk insights. Since our launch, our AI has been exceptional at ingesting submission data straight from an inbox, enriching it, filling in the gaps, and pointing to what matters based on appetite fit. But, to solve the deeper problems preventing underwriters from binding more and better business, we needed to go further.
The AI Underwriter does exactly that. It’s an agentic colleague that receives a submission and produces real underwriting work product as the output, one that understands the risk, knows the broker, holds the portfolio in memory, and tells the underwriter what to do next.
The agent receives a submission, extracts and cleans the data, identifies what's missing, and evaluates appetite and portfolio fit. It reasons about the risk, but also about whether this risk, from this broker, belongs in this book right now. It draws on everything the carrier's team has ever learned about that broker and that risk class, surfaces portfolio context, and produces a recommendation and the rationale to back it up. The next step is always clear, whether that's a referral, a declination, or a broker follow-up drafted and ready to send.
At the center of the AI Underwriter is what we call the Underwriting Brain. It brings functional knowledge across lines, reasoning patterns from experienced underwriters, and a ground-truth library of what good underwriting looks like. It doesn't need months of ramp time. It already knows how to underwrite on day one.
Most AI Tools Digitize The Submission. This One Does the Work.
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How is it different from other AI tools out there? The reality is that a great underwriter doesn't need a digitized version of the application or a dashboard with data that was current last week. They need to understand the risk in the full context of their current book, the broker relationship, and their guidelines, and what the next best action on the case is.
That's what the AI Underwriter does. And it's something no text ingestion, triage, or workflow tool was built to do, because none of them were designed to learn from the work itself.
After a short time with a carrier, the AI Underwriter holds institutional memory that compounds with every submission. The broker's history. Prior outcomes on similar risks. Portfolio context. Everything every colleague has ever learned, available the moment the next submission lands.
The Impact on Your Book
Sixfold customers have historically seen 50% to 97% faster processing, hit ratios up 15%, and 30% more GWP per underwriter. One carrier went from pilot with a handful of users to 500+ underwriters, reaching go/no-go decisions on submissions in 5 minutes and more than 2 hours saved per submission. Another one cut days-to-quote from 16 to 7 days, with more than 100 underwriters using Sixfold today.
Matthew Richardson, Global Head of Operations & IT, from Generali GC&C, summarized the impact well:
“Sixfold helps us quote risks in minutes instead of days or, in some cases, weeks. The work gets better for our underwriters. What sets Sixfold apart is how they build their product, alongside underwriters, shaped by how the job really works. That is why we believe they are building the future of underwriting.”
The AI Underwriter moves insurers further toward a better combined ratio and more profitable growth. Expense ratios fall as underwriters focus on judgment instead of analysis. Over time, loss ratios improve as fewer good risks get missed and appetite alignment tightens.
For a startup MGA writing complex specialty risks with a small team, it makes growth possible without hiring ahead of revenue. For a global carrier, it means every submission is evaluated the same way, with more context, and with better insights from your best-performing distribution channels.
What We're Hearing from Users
Before today's launch, a select group of insurers worked with the AI Underwriter on live submissions. At Skyward Specialty, early results show that the AI Underwriter performed the majority of the underwriting analysis needed to evaluate submissions, helping underwriters quote better risks, faster, with more consistent judgment across the book.
The feedback we’ve received speaks for itself. Melissa Butt, Vice President E&S Brokerage, Property at Skyward Specialty, said it best.
"The AI Underwriter does not just summarize what you are looking at, it gives you a point of view and a clear path forward. For more junior underwriters, it’s a powerful companion that gives them the perspectives of a more experienced underwriter and accelerates their development. Even veteran underwriters who are a little more skeptical of new technology see the AI as an added layer of intelligence. Plus, the ability to fully examine a submission and make better, more confident decisions without even leaving the tool is a huge benefit. The entire team is excited to work with it."
AI Colleague. The Underwriter in Charge.
I want to be very clear. Underwriters are not going anywhere.
But, we’re not automating the existing underwriting process either. We’ve invented (and patented) a new way to run a risk-taking shop.
The best underwriting teams will not remove human judgment. They will focus human judgment where it matters most. Complex risks. Exceptions. Broker relationships. Negotiation. Accountability. Where to take bets.
We recently surveyed more than 500 underwriters and underwriting leaders across North America and Europe, and nearly 80% said they wanted more time for exactly that work.
The AI Underwriter creates that time.
It does the analytical work. It surfaces what is missing. It explains its reasoning. It recommends the next action. The human underwriter directs it, corrects it, decides, and remains accountable.
That is the partnership we believe will define underwriting over the next five years.
And today, it is here.
That’s better #funderwriting.
This post was originally shared on LinkedIn.
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Sixfold Partners with Adnovum
Sixfold is teaming up with Adnovum, the Swiss technology and consulting company specializing in secure digital transformation for the insurance industry.
Sixfold is partnering with Adnovum, the Swiss technology and consulting company specializing in secure digital transformation for the insurance industry.
Insurers across Germany, Austria, and Switzerland can now access Sixfold's AI underwriting solution through Adnovum's established insurance transformation offering, with Adnovum's IT delivery teams leading implementation and integration.
This partnership brings globally proven underwriting AI together with deep local delivery expertise, giving DACH insurers a faster, lower-risk path to modernizing underwriting operations.
Why Adnovum
Our mission at Sixfold has been to make AI adoption in insurance faster and more accessible. A big part of achieving that is meeting insurers where they already are, working alongside the partners they already know and trust.
Adnovum brings more than 30 years of experience supporting insurers, reinsurers, brokers, and specialist providers across the insurance value chain. They understand the regulatory landscape, the operational realities, and the relationships that define the DACH market. That foundation is exactly what insurers need when adopting new technology with confidence.
"Europe is a priority market for Sixfold, and the DACH region in particular represents a significant opportunity. Adnovum gives us immediate credibility and reach with insurers who are ready to modernise but need a partner they already trust to lead the way."
— Roger Ferrandis, Head of Partnerships at Sixfold
What Changes for Insurers
Insurers across DACH are working to modernize their underwriting processes, and they're looking for solutions that are proven. They want AI that works at other carriers, and a delivery partner who knows their market.
This partnership gives them both. Carriers and MGAs across Germany, Austria, and Switzerland can now:
- Access Sixfold's AI underwriting solution through a regional partner they already know and trust
- Rely on Adnovum's IT delivery teams to lead implementation and integration
- Modernize underwriting operations with in-market delivery expertise and regulatory fluency
- Move from decision to deployment faster, with fewer unknowns and the right local support
"Insurers across DACH are under real pressure to modernise underwriting, and they are looking for solutions that are proven, not experimental. Sixfold already has a track record with some of the world's leading insurers. We can now bring that capability to our clients in this region. That combination of globally proven AI and local delivery is what makes this partnership genuinely compelling."
— Dr. Christian Straube, Head of Industry Insurance at Adnovum
How to Get Started
Sixfold is trusted by insurers globally including Zurich, Mosaic, Skyward, Generali, and many more. Together we've processed over one million submissions for carriers writing more than $265B in premiums.
Sixfold and Adnovum will make their first joint appearance at the HZ Insurance Forum on 11 June in Zurich, co-hosting an expert lunch on how insurers can build AI-fluent underwriting teams.
Curious to learn more about the partnership or how Sixfold can support your underwriting team? Get in touch with our team.
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Frequently asked questions
Which insurers currently use Sixfold for AI underwriting?
Sixfold's AI underwriting platform is used by insurers including Zurich, Mosaic, Skyward, and Generali. The company has processed over one million submissions for carriers writing more than $265 billion in premiums globally. This client base spans both multinational carriers and specialty insurers, providing the production track record that regulated markets typically require before adopting new underwriting technology.
What does DACH mean in European insurance markets?
DACH refers to Germany (D), Austria (A), and Switzerland (CH), three German-speaking European countries grouped together in financial services strategy. The term is widely used by insurers and technology providers for regional go-to-market planning.
What role does Adnovum play in the Sixfold partnership?
Adnovum leads implementation and integration of Sixfold's AI underwriting solution for insurers across Germany, Austria, and Switzerland. Its IT delivery teams handle technical deployment while Sixfold provides the underlying AI platform. Adnovum brings more than 30 years of experience serving insurers, reinsurers, brokers, and specialist providers across the DACH insurance value chain.
How do DACH insurers get started with Sixfold?
DACH insurers can access Sixfold's AI underwriting solution through Adnovum's established insurance transformation offering, with Adnovum's IT delivery teams leading implementation and integration. Sixfold and Adnovum will appear together at the HZ Insurance Forum on 11 June 2026 in Zurich, co-hosting an expert lunch on building AI-fluent underwriting teams.
What languages does Sixfold support for underwriting submissions?
Sixfold supports all languages, processing underwriting submissions in any language a carrier receives them. This is directly relevant for the DACH region, where submissions arrive in German, Swiss German, French, and Italian alongside English across Germany, Austria, and Switzerland.

Sixfold’s AI Governance Program
Sixfold's AI Governance Program is an ongoing internal process for identifying, assessing, and mitigating the risks of deploying AI. It is organized into five focus areas with named owners, defined deliverables, and a regular cadence of reviews.
Sixfold's AI Governance Program is an ongoing internal process for identifying, assessing, and mitigating the risks of deploying AI. It is organized into five focus areas with named owners, defined deliverables, and a regular cadence of reviews.
This post explains what it covers and why we built it the way we did.
Why we established this now
Responsible AI is not a new territory for Sixfold. We have been thinking carefully about how we build and deploy AI in insurance underwriting since the day we launched in May 2023.
The honest answer to "why now?" is this: we wanted to formalize what we were already doing, and the regulatory environment gave us both the mandate and the structure to do it well.
The reality is that AI legislation is different from most compliance frameworks insurers and vendors are familiar with. AI compliance is process-based. It is about building the organizational muscle to understand whether your systems could cause harm, and then evaluating that question consistently over time.
That kind of ongoing work requires real ownership, clear processes, and people who are explicitly accountable for staying on top of it. We also made a deliberate choice not to chase specific legislation line by line. AI laws are still in progress across jurisdictions and contested at every level. Instead, we anchored the program around established industry reference points:
- The NIST AI Risk Management Framework (AI RMF 1.0), an industry framework that gives durable guidance for risk and oversight.
- The EU AI Act's high-risk provider requirements (Articles 9-17), which has concrete expectations on documentation, testing, and accountability
That approach is more durable and more honest about where regulation actually is today.
From principles to practice
Sixfold has had a set of responsible AI principles since early on, we formalized and launched our first Responsible AI approach in 2024 and established and launched an updated version in 2025. What the governance program does is translate those principles into organized action.
"Principles are well and good, but without action words they're just hot air."
– Noah Grosshandler, Product Manager and AI Governance Program Lead at Sixfold
The program gives us specific owners, defined deliverables, and a cadence for revisiting each area. It creates the connective tissue between what we believe and what we actually do. And critically, it builds the structure to change over time, because the landscape will constantly move forward, our product will change, and what it means to apply those principles responsibly will change with them.
We are building toward a complete Annex IV documentation package. That is the concrete output regulators and enterprise customers ask for. The program also addresses requirements to prevent algorithmic discrimination in much of the emerging global AI legislation, especially relevant to our customers operating in the life and health space. Bias and fairness testing is part of the program, with methodology tailored to each line of business.
How the program is structured
The program is organized around five focus areas, each with its own owners and activities:
General governance covers the program itself: keeping the right people informed, running annual retrospectives, and ensuring continuity when things change.
Risk and compliance is responsible for identifying and tracking AI-specific risks, reporting on them quarterly, and handling any ad hoc mitigation or incident response as needed.
Data and model governance focuses on the data used to develop and train our systems. This means understanding where data comes from, confirming it is used ethically, and being able to clearly explain how system behavior relates to the inputs that shaped it.
Ethics and responsible AI covers fairness, explainability, and human oversight. It is the function that asks where humans should stay in the loop, what our position is on where AI should and should not operate, and whether the way our system works is genuinely ethical, not just technically sound.
Security and privacy handles the technical infrastructure: making sure the underlying systems meet the security and privacy requirements of what we are building.
Each area has its own cadence. Risk and compliance runs quarterly reviews. The ethics function does the same, looking at new functionality and evaluating human oversight design. Between those cycles, the full group of program owners meets bi-weekly to stay coordinated.
"The different areas of focus don't need to change when a new regulation drops or a new product drops, we can slot new requirements into the existing structure."
– Noah Grosshandler, Product Manager and Facilitator of the AI Governance Program
One thing worth being explicit about: having dedicated program owners does not mean this is only their responsibility. At the end of the day, the company is accountable. Every person at Sixfold is responsible for building software that is honest, transparent, and ethical. The program owners exist to maintain the expertise and the process rigor that makes that possible at scale.
What this means for our customers
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We have customers in North America, EMEA, South America and Australia today. Across the globe our customers face their own compliance pressures as deployers, and we can support them with that. Many of them are being asked by their own regulators and partners to demonstrate responsible AI practices, and most are still working out what that means for them.
The governance program helps us support our customers directly:
- When a customer receives a compliance questionnaire about their AI vendor, we will have clear and documented answers.
- When they are trying to build their own responsible AI stance, we can share what we have learned. We are not just handing over a package of documents; we are trying to be a resource to support them build out their own AI Governance practices.
- Our customer success team works with each customer individually, because our customers operate across different jurisdictions, different product lines, and different regulatory environments. There is no one-size-fits-all approach here.
"The company is accountable. Just because there is this program and this charter doesn't mean that it is not every single person at this company's job to make sure that what we're building is built ethically, built honestly, built transparently."
– Noah Grosshandler, Product Manager and AI Governance Program Lead
What comes next
In the near term, we are focused on achieving the right baseline: making sure all documentation is in place, all processes are codified, and we are ready for the enforcement deadlines that matter.
The longer-term goal is bigger. We want to continue to be at the forefront of what responsible AI development actually looks like in insurance, not just compliant on paper but genuinely ahead of the problem. That means working with bodies like the NAIC to share what has worked and what has not. And it means making sure the program itself stays modular and adaptable, so when new regulations drop or our product evolves, we can slot in new requirements without rebuilding from scratch.
We built the governance program because Responsible AI is a core part of Sixfold. The structure the program provides is how we make sure that commitment holds.
Questions about Sixfold's AI governance approach? Reach out to your customer success representative or get in touch with our team.
Learn more about our commitment to being a Responsible AI organization here.
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FAQ
What is an AI Governance Program? An AI Governance Program is a structured and ongoing internal process for identifying, assessing and mitigating risks. Sixfold developed the program to mitigate the risks of deploying our AI in insurance underwriting. It is organized into five focus areas, each with named owners, defined deliverables, and a regular review cadence.
Why did Sixfold create a formal AI governance program? To formalize responsible AI practices it had been following since launch, and to meet the requirements of emerging AI legislation. AI compliance is process-based and requires ongoing evaluation.
Is the AI Governance Program required by law? Not by a single law, but most emerging AI regulations require some form of oversight program. Rather than chasing specific legislation, Sixfold anchored the program in established frameworks like NIST AI RMF, which is more durable given how frequently AI laws are still changing.
How often does Sixfold review its AI governance program? Program owners meet bi-weekly. Risk and compliance runs quarterly reviews, as does the ethics and responsible AI function. Incident response is handled ad hoc as needed.
How does the AI Governance Program help insurance customers with their own compliance? Sixfold gives customers documented answers to vendor compliance questionnaires and a framework they can learn from as they build their own responsible AI practices. Sixfold's customer success team works with each customer individually given differences in jurisdiction and product line.
Who is responsible for AI governance at Sixfold? The whole company. Named owners across the five focus areas maintain the expertise and process rigor, but every person at Sixfold is accountable for building software that is honest, transparent, and ethical.

Sixfold Partners with Microsoft Azure
Sixfold and Microsoft are teaming up to make AI in insurance underwriting faster to deploy and easier to integrate within the Microsoft Azure Marketplace.
Exciting news! Sixfold is officially live on Microsoft Marketplace, the trusted online destination for enterprises to discover, purchase and deploy cloud solutions, AI apps and agents directly within their Microsoft ecosystem.
Carriers and MGAs can now discover and deploy Sixfold directly through Microsoft Marketplace with smooth integration and streamlined management
Now meeting insurers within their existing technology ecosystem. This partnership simplifies integration, streamlines management and reduces implementation timelines. Allowing carriers to leverage their existing Azure commitments to accelerate time-to-value.
Why Microsoft
Our mission at Sixfold has been to make AI adoption in insurance faster and more accessible. A big part of achieving this is meeting insurers where they already are, inside a technology infrastructure they know and trust.
By joining Microsoft Marketplace we’re doing exactly that. This partnership simplifies procurement, streamlines integration and lets insurers apply their existing Azure commitments toward deploying Sixfold. Removing the friction that typically slows adoption in enterprises.
"This collaboration with Microsoft marks a significant milestone in our growth journey. By integrating with the Microsoft Marketplace, we're making Sixfold and our Underwriting AI brain easier to discover and deploy. Insurers can implement our capabilities directly within their existing Azure environment, reducing integration complexity and accelerating time-to-value by streamlining procurement through their established Microsoft relationship."
– Roger Ferrandis, Head of Partnerships at Sixfold
What Changes for Insurers
Until now, adopting Sixfold meant navigating a standalone procurement process with separate contracts, separate timelines, and separate budget approvals. For enterprise insurers, that friction adds weeks and creates unnecessary approval cycles before a single submission gets processed.
With Sixfold on Microsoft Marketplace, that changes. Carriers and MGAs can now:
- Discover and deploy Sixfold directly within their existing Azure environment
- Apply existing Azure cloud commitments toward their Sixfold adoption
- Eliminate redundant approval cycles by consolidating procurement within an established Microsoft relationship
- Move faster from decision to deployment with fewer operational barriers
“We’re pleased to welcome Sixfold to Microsoft Marketplace,” said Cyril Belikoff, vice president, Microsoft Azure Product Marketing. “Marketplace connects trusted solutions from global partners with customers worldwide, making it easy to find and deploy apps that work seamlessly with Microsoft products.”
How to Get Started
Sixfold is trusted by insurers globally including Zurich, Mosaic, Skyward, Generali and many more. Together Sixfold has processed over one million submissions for carriers writing more than $265B in premiums.
Ready to get started? Explore Sixfold on Microsoft Marketplace
Questions about the partnership or curious to learn more about Sixfold? Reach out to your customer service representative or get in touch with our team
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Frequently asked questions
How long does it take to deploy Sixfold through Microsoft Marketplace?
Deployment timelines are significantly shorter through Microsoft Marketplace than through standalone procurement. Traditional Sixfold adoption requires separate contracts, implementation cycles, and budget approvals each adding weeks to the process. By routing through an existing Azure relationship, insurers eliminate those parallel approval cycles and can simplify the process from procurement to deployment within their established cloud infrastructure.
What's the difference between buying Sixfold directly versus through Microsoft Marketplace?
Purchasing through Microsoft Marketplace lets insurers apply existing Azure cloud commitments to Sixfold, whereas a direct purchase requires a separate budget allocation and procurement cycle. The core AI underwriting functionality is the same either way. The Marketplace route removes the need for additional vendor approval processes and integrates billing within an insurer's existing Microsoft spend, which is a meaningful operational difference for enterprise finance and IT teams.
How much more productive do underwriters become after adopting AI underwriting tools?
Underwriters using Sixfold process up to 50% more submissions without additional manual research or administrative work, according to Sixfold's published performance data. That productivity gain translates to up to 30% more Gross Written Premium (GWP) per underwriter. The efficiency comes from automated submission screening and appetite-aligned insights, freeing underwriters to focus on judgment-intensive decisions and broker relationships.
What compliance and security standards does Sixfold meet for enterprise insurers?
Sixfold's deployment within Microsoft Azure inherits the governance, security, and compliance controls built into the Azure platform, which is designed to meet enterprise and regulated-industry requirements. This matters in insurance because carriers operate under strict data governance obligations. Deploying within an existing Azure environment means compliance postures already approved by IT and legal teams carry over, rather than requiring a separate security review for a new vendor environment.
How do AI underwriting tools handle transparent sourcing of recommendations?
Sixfold provides appetite-aligned insights with transparent, cited sources meaning underwriters can see the reasoning and reference material behind each recommendation, not just an output. This auditability is a specific design requirement in insurance, where underwriting decisions must be defensible to regulators, reinsurers, and internal governance teams.
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New Life & Health Narrative: Meeting Underwriters At Every Step
Narrative is Sixfold's new capability for Life & Health, giving underwriters a customizable, structured summary at initial review. It surfaces the key details needed to move a case forward, reducing back and forth and simplifying triage before deeper analysis.
Life & Health underwriting is a constant balance between speed and quality: getting the right coverage to customers before they go somewhere else. One missed detail can change the whole quote. But the longer pricing takes, the greater the risk of applicant drop-off.
Accelerated underwriting helps with simpler cases that don't require additional evidence, but as recently reported by Gen Re, up to 88% of cases still need some type of human review.
Those cases still go through the same workflow: sorting through documents at initial review, going back to the advisor or broker when something's missing, and when the case is finally ready, reading through hundreds of pages of medical records like EHRs, APS, and lab results to piece together the full health picture before making a decision.
It's a lot of steps and a big manual workload that keeps underwriters from bringing in more premiums and getting back to customers faster with better coverage. That’s where Sixfold comes in; underwriting AI built to help at every step of the process, bringing together the details that matter to your team, and now with our new Narrative, a tailored initial analysis that simplifies triage and reduces the unnecessary back and forth, before the deeper analysis.
The First Look At a Case
At the initial review, underwriters are trying to answer one question: Do I have what I need to move this case forward? Most of the time, that means going through multiple documents just to find out, and when something's missing, at least 30 minutes are spent on a case they'll have to come back to later.
Our new Narrative capability for Life & Health is a focused, structured case summary tailored to what matters to your underwriting team, surfacing the information you want to see upfront to help underwriters with triage and to figure out next steps. Sixfold’s AI agents read through all the case documents, application, APS and labs, and pull together the relevant details into one structured view, so underwriters don't have to. Each narrative is configurable to your team's specific workflow, so what gets surfaced reflects what actually matters for your decisions.
Imagine a case where an applicant has hypertension or a history of elevated cholesterol. The underwriter immediately needs to know if they have all the information about blood pressure and what meds they're on. Does this applicant smoke? What is their family history? This is information they need before they even begin to assess the case.
The Narrative gives you exactly the information you need to know before you move on.
"We want to support underwriters at every point in their workflow. Sometimes that means a focused Narrative to help with triage and next steps. Sometimes that means a deep condition analysis across hundreds of pages. The point is, wherever an underwriter is in the process, Sixfold is there to help."
— Noah Grosshandler, Product Manager at Sixfold
On the reinsurer side, it's a similar story. Underwriters are spending precious time just organizing loosely assembled submissions from cedents because most times the cases come in an inconsistent format, requiring additional questions before quoting, many of which wouldn't even be necessary if the information were clearly structured upfront.
With Narrative, these questions are answered upfront. Fewer emails back and forth with brokers and faster responses.
The Full Clinical Story: Conditions Analysis

After triaging and making sure a case is ready to quote, underwriters go back to the manual review of hundreds of pages of medical records, trying to spot that one detail that will change the whole quote. It's pretty much like detective work, finding how a medicine connects to a diagnosis and what the impact is on that patient, trying to piece together the full medical story. Assessing history, severity, and how well a diagnosis is managed. Meanwhile, customers are waiting for a response.
That's where Sixfold's in-depth Conditions Analysis comes in. When the case is ready for a full review, our Conditions Analysis connects all the medical pieces, bringing together medications, labs, procedures, and diagnoses under each condition so underwriters can see the full clinical picture without jumping between documents. It highlights what's relevant to your underwriting guidelines, shows how conditions have progressed over time, and surfaces the clinical data that matters most for your decisions.
One example is a case where an applicant is taking Spironolactone, a common medication used to control high blood pressure, but also prescribed for hormonal acne. An underwriter would have to go through lengthy pages of documentation to find what dosage they're on, how long they've been taking it, and what it's actually being prescribed for. And that's just one medication. For complex cases, underwriters are doing this across multiple conditions with years of medical history.
With our Conditions Analysis, underwriters can spend their time on decision-making rather than document review and data gathering. Customers get faster and better quotes. Guardian, for example, saw a 50% reduction in review time using Sixfold.
When Speed is What Matters
Some of our customers work with higher-volume lines like structured settlements and annuities and often process over 10,000 cases per year; they don’t always need an in-depth Condition Analysis to move a case to the next step.
There are fewer key risk details that influence the analysis, so they have been able to use Narrative to move forward on up to 70% of their cases, consulting our full Conditions Analysis only for the most complex ones. For some teams, Narrative handles most of the heavy lifting of manual review.
"One of our customers built Narrative into their workflow for initial case review. It helps their underwriters get up to speed quickly and know exactly what needs attention. When a case requires deeper analysis, they move to our full Conditions Analysis, but Narrative gives them that strong starting point." — Justin Sorce, Customer Success Manager at Sixfold
Confident Underwriting Decisions
Whether it's a quick initial review or a deep dive into a complex case, Sixfold is there to help your team get to a confident underwriting decision faster.
And it works where your team already works, whether that's in our UI, a workbench, or a policy admin system. Every insight ties back to the source documents, so underwriters can verify what they're seeing. Built for underwriting since day one. HIPAA and SOC 2 certified, with single-tenant environments to keep your data secure. Rigorous AI fairness testing to meet evolving regulatory standards and grounded in our Responsible AI principles.
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A closer look at AI adoption, governance, and the future of underwriting.


