AI Insurance Underwriting

In the health and life insurance industry, group underwriting is a critical process that can significantly impact revenue generation. However, traditional underwriting processes are often slow, inefficient, and prone to errors. This can lead to delays in sales conversions, missed opportunities, and ultimately, loss of revenue.

The traditional underwriting process typically involves multiple manual steps, including:

Gathering and Analyzing Information:

Underwriters manually collect and analyze applicant data, medical history, and other relevant information. This often involves sifting through numerous documents and forms, which can be time-consuming and prone to human error.

Risk Assessment:

Underwriters assess the risk profile of the applicant based on the collected information. This step requires expertise and judgment, as underwriters need to weigh various factors and make subjective assessments.

Premium Calculation:

Underwriters calculate the premium based on the risk assessment and the desired coverage. This calculation can be complex and involve multiple variables, increasing the potential for errors.

Policy Issuance:

Once the premium is approved, the policy is issued to the applicant. This step often involves manual data entry and paperwork, which can further delay the process.

In a competitive market, such delays and inaccuracies can result in losing potential customers to competitors who offer faster and more efficient services.

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Department 2: Group Underwriting

Existing Ancestral Medical and Life Group Underwriting and Policy Issuance Process

Problem

Long Sales Conversion Time. Miss outs on timely tender submission resulting in loss of Revenue.

Average Time taken to close sales 5-7 days.
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    Step 1

    Underwriting team uses the initial request and fill manually a rater tool in excel or a specific software for Portfolio/Book Premium Projections

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    Step 3

    Underwriting team gets approval on mails for each quotation price confirmation

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    Step 5

    In case the client finds issues in affordability or may ask for a different benefit option then underwriting team needs to perform Step 2 to Step 4 again

  • icon-cloud
    Step 1

    Underwriting team uses the initial request and fill manually a rater tool in excel or a specific software for Portfolio/Book Premium Projections

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    Step 2

    Underwriting team pulls claims experience data from the system depending upon the requirements of the clients benefits in order to calculate premium from claims experience

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    Step 3

    Underwriting team gets approval on mails for each quotation price confirmation

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    Step 4

    Mail the client for final confirmation on the price and policy issuance.

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    Step 5

    In case the client finds issues in affordability or may ask for a different benefit option then underwriting team needs to perform Step 2 to Step 4 again

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    Step 6

    Policy pdfs are created manually and mailed to the client. The benefit and member information

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    Step 2

    Underwriting team pulls claims experience data from the system depending upon the requirements of the clients benefits in order to calculate premium from claims experience

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    Step 4

    Mail the client for final confirmation on the price and policy issuance.

  • icon-send
    Step 6

    Policy pdfs are created manually and mailed to the client. The benefit and member information

How the medical and life group underwriting process get revolutionized with MedML?

Impact - 85% REDUCTION in UW Process Time FASTER Quotation release! Reduction in miss out of tenders due to team bandwidth or long process time. Hence higher revenue and sales conversions.

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Tell us your needs or Drop Desired Benefits Structure (as a group or individual or broker)

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Tell us your budget range

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Our Al does the Magic!! Run Numerous deep pricing algorithms

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If the desired coverage price meets your budget, our AI will provide you with a link to purchase the policy instantly!

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Otherwise our AI allocates your case to Human Intelligence to share most suitable plan option with payment link as soon as possible.

The Solution: AI-Powered Underwriting

Artificial intelligence (AI) in insurance underwriting is transforming the industry by automating and streamlining the underwriting process.

AI insurance underwriting solutions can analyze vast amounts of data, identify patterns, and make predictions with unprecedented speed and accuracy. This allows insurers to make more informed underwriting decisions, reduce risk, and improve overall efficiency.

Think of it this way: traditional underwriting is like working your way through a complex maze with a dim flashlight and a hand-drawn map. You may eventually find your way, but it's slow, tedious, and prone to wrong turns.

AI-powered underwriting, on the other hand, is like having a GPS system that guides you through the maze with pinpoint accuracy and real-time updates. You reach your destination faster, with less effort, and with greater confidence.

MedML's automated underwriting system is a cutting-edge solution that leverages AI to streamline the entire underwriting process. Our platform can automate many of the manual tasks involved in underwriting, including data collection, risk assessment, and premium calculation. This frees up underwriters to focus on more complex cases and strategic decision-making.

Imagine your underwriters liberated from the drudgery of manual data entry and repetitive calculations. Instead of spending hours poring over spreadsheets and forms, they can focus on what truly matters: building relationships with clients, analyzing complex risks, and developing innovative insurance products.

MedML doesn't just automate tasks; it augments human intelligence. Our platform provides underwriters with powerful tools and insights, enabling them to make faster, more informed decisions. By analyzing historical data, market trends, and individual risk profiles, MedML can identify potential red flags, predict future claims, and recommend optimal premium pricing.

This translates to a win-win situation for both insurers and customers.

Insurers benefit from increased efficiency, reduced costs, and improved risk management. Customers enjoy a faster, more seamless underwriting experience, with personalized quotes and policies that meet their unique needs.

How MedML Works

At the MedML headquarters, we've cracked the code to closing deals at lightning speed, with record-breaking sales closures of just 10 seconds for groups as large as 25,000 lives.

Here's how it works:

  1. Tell Us Your Needs: It all starts with your needs. Whether you're a group, an individual, or a broker, simply tell us your desired benefits structure. Upload your data, outlining the coverage you need, the demographics of the group, and any specific requirements. No need to wrestle with complicated forms or spend hours on manual data entry.
  2. Set Your Budget: Next, tell us your budget range. This helps our AI pinpoint the most suitable options within your financial parameters. We believe in transparency and affordability, so you're always in control.
  3. AI Takes the Wheel: This is where the magic happens. Our powerful AI algorithms take over, running numerous deep pricing algorithms in the blink of an eye. These algorithms analyze vast amounts of data, including historical claims experience, industry benchmarks, and your specific requirements to generate accurate and competitive premium projections.
  4. Instantaneous Quote and Purchase: If the calculated premium aligns with your budget, MedML will instantly provide you with a link to purchase the policy. Yes, you read that right: instant policy purchase! No more waiting for days or weeks for a quote. With MedML, you can secure coverage in seconds.
  5. Human Expertise When You Need It: In cases where strategic decisions are required, or your needs require a more tailored approach, MedML seamlessly integrates with human expertise. Our experienced underwriters will step in to fine-tune the premium and provide personalized guidance, ensuring you get the best possible solution.

The MedML Difference

This streamlined, AI-driven approach to underwriting offers significant advantages over traditional methods:

  • Unprecedented Speed: Close deals faster than ever before, with the potential for 10-second sales closures.
  • Enhanced Accuracy: Leverage the power of AI to ensure precise premium calculations and minimize errors.
  • Improved Efficiency: Say goodbye to manual tasks and time-consuming communication exchanges.
  • Increased Revenue: Reduce missed opportunities and increase sales conversions.
  • Seamless Customer Experience: Provide a fast, transparent, and user-friendly experience for your clients.

AI in Insurance Underwriting: The Right Transition for Health and Life Insurers?

The rise of AI has sent ripples of excitement and, admittedly, a touch of apprehension through the health and life insurance industry.

While many recognize the potential of AI to revolutionize processes and unlock new efficiencies, some remain hesitant, clinging to the familiarity of traditional underwriting methods. This resistance often stems from a fear of the unknown, concerns about job displacement, or a lack of understanding about how AI can truly benefit the industry.

However, the truth is that AI isn't a threat to the insurance profession; it's an evolution. It's a powerful tool that empowers insurers to manage the complexities of the modern market with greater speed, accuracy, and agility.

Instead of fearing AI, it's time to embrace its potential and harness its capabilities to drive the industry forward.

MedML in Action!

Want to understand how you can benefit from MedML as a health/life insurer?

Here are three scenarios that will give you a better understanding of the sheer power of MedML.

Scenario 1: Rapid Response to a Large Group RFP

Let's say a large corporation with thousands of employees is seeking group life insurance coverage. They issue a request for proposal (RFP) with a tight deadline, demanding quotes for various benefit structures and coverage levels. Using traditional methods, this would involve a lengthy process of manual data entry, risk assessment, and premium calculation, potentially causing the insurer to miss the deadline and lose the business.

With MedML, the insurer can respond to this RFP in record time. The corporation simply uploads their desired benefits structure and budget parameters into the MedML platform. The AI instantly analyzes the data, generates accurate premium projections for various scenarios, and provides a link for instant policy purchase if the price aligns with the budget. This rapid response time and streamlined process give the insurer a significant competitive advantage, increasing their chances of securing this valuable group business.

Scenario 2: Efficient Claims Processing During Peak Season

Life insurers often experience a surge in claims during specific periods, e.g., flu season or following natural disasters. Manually processing this high volume of claims can overwhelm claims adjusters, resulting in delays, errors, and frustrated claimants.

MedML's AI-driven claims processing engine can alleviate this burden.

Claimants simply submit their claims and supporting documents through the platform. MedML automatically verifies the information, assesses the claim's validity, and if all checks out, issues the payment in seconds. For complex or potentially fraudulent claims, MedML seamlessly escalates the case to a human adjuster for further review.

This ensures that legitimate claims are processed quickly and efficiently, while suspicious claims receive the necessary attention, preventing unnecessary payouts and protecting the insurer's bottom line.

Scenario 3: Optimizing Provider Networks with Data-Driven Insights

Building and maintaining a strong provider network is vital for life insurers. However, negotiating contracts and ensuring fair pricing can be a challenging task. MedML's AI tools provide valuable data-driven insights to optimize this process.

For instance, when a new provider joins the network or an existing provider requests a rate revision, the insurer can use MedML to benchmark the provider's rates against those of similar providers in the same geographical area. The AI analyzes various factors, e.g., the provider's specialty, experience, and historical claims data, to determine a fair and competitive rate.

This information empowers the insurer to negotiate effectively, ensuring cost-efficiency while maintaining a high-quality provider network.

The Future of Underwriting is Here

The evidence is clear: AI in insurance underwriting is no longer a futuristic concept, but a present-day reality that's transforming the health and life insurance industry.

MedML's automated underwriting system empowers insurers like you to embrace this transformation and tap into levels of efficiency, accuracy, and customer satisfaction.

By automating manual tasks, streamlining workflows, and providing data-driven insights, MedML's AI insurance underwriting solutions enable you to:

  • Accelerate Decision-Making: Close deals faster and respond to market demands with agility.
  • Improve Risk Assessment: Make more informed underwriting decisions and reduce the risk of losses.
  • Enhance Customer Experience: Provide a seamless and personalized journey for your policyholders.
  • Optimize Costs and Increase Profitability: Streamline operations and reduce administrative overhead.

Whether you're looking for automated underwriting life insurance solutions or group underwriting solutions, MedML has the tools you need to succeed in the digital age.

Don't get left behind. Embrace the future of underwriting with MedML.

Contact us today to schedule a demo and discover how our AI-powered platform can revolutionize your business!