Life insurance quoting software: Main development stages 

According to Eurostat’s research, in 2025, preventable incidents — such as road accidents, homicides, drownings, fires, and natural disasters — claim over 3 million lives annually, accounting for roughly 5% of global fatalities. At the same time, shifts in demographics and an aging population have driven a 25% increase in the total number of deaths since the 1990s, according to the 2024 Revision of World Population Prospects.  

This backdrop has fueled an unprecedented surge in the demand for life insurance. As developing markets expand, forward-looking consumers in advanced economies increasingly search for flexible options for personal protection for themselves and their loved ones. To meet the demand, life insurance providers leverage life insurance quoting software.  

The dedicated, custom-tailored tech not only speeds up interactions and simplifies data access. It is a major way to boost overall customer experience by ensuring that underwriting teams can keep up with a rapidly growing and increasingly complex client base. But let’s start from the beginning. 

More about insurance software:

5 tips to develop brilliant insurance policy management software

What is life insurance quoting software?

Life insurance quoting software is an application, a digital tool, or a platform that automates or improves the process of generating and managing insurance quotes in other ways. For instance, to centralize and simplify access to customer data, the software: 

• gathers the data, like age, health status, lifestyle, and insurance coverage preferences 
• feeds the gathered input data and carrier-specific underwriting rules to advanced algorithms 
• calculates premium estimates almost in real time, at the human-superior level of accuracy and preciseness.  

The specialized software can also pull in quotes from multiple carriers, compare options side-by-side, and even generate detailed policy illustrations that show how a policy might perform over time. Having all these capacities in one place saves a lot of time while avoiding errors due to overlooked details or under-researched customer history.  

That is it, in a nutshell. However, to understand how life insurance quoting software runs under the hood, it’s important to refer to the entire insurance quoting process and its essential functions.  

Insurance quoting process

Quoting in insurance is the process of generating a personal insurance quote — an individually estimated premium. This premium outlines the cost and terms of an insurance policy based on a customer’s risk profile and coverage needs. Specialized software helps centralize, digitize, and automate the underlying tasks required, including the following. 

Initial inquiry and data collection 

The quoting process begins when a potential client or insurance agent submits basic personal information (age, gender, health status, lifestyle details) via an online form or in-person meeting. This initial data helps understand which policies might fit the case. 

Risk assessment and underwriting pre-check 

The collected data is then fed to an insurance quoting system for an early risk assessment. This may include checking medical history, occupation, and lifestyle factors to analyze risk against potential premium ranges. Automated systems can flag areas that may require extra information. 

Input of specific coverage needs 

The client (or agent) then specifies their insurance coverage requirements. This includes selecting the type of policy (e.g., term-based life insurance, whole life insurance, or universal life insurance), coverage amount, policy duration, and any optional riders or extra features they might need. 

Data integration with carrier systems 

A custom insurance quoting system usually integrates with multiple carriers’ databases through APIs, pulling up-to-date product information, premium rates, and underwriting guidelines. This is an important technical step to watch if an automatically updated data flow is to be enabled.  

Quote calculation and comparison 

One of the essential tech specifications of any quoting solution is the availability of custom algorithms that can process unique input data and generate multiple quotes from different carriers. This enables a system to calculate personalized premiums for each policy based on the provided risk factors, coverage choices, and carrier rates.  

Presentation of quotes and illustrations 

You need a way to present all the generated quotes and policy illustrations to the client. A custom quoting solution will help visualize projected cash values, death benefits, and premium changes over time, all in one place, offering handy dashboard tools alongside, e.g., for historical analysis.  

Review and customization 

Agents may then review the quotes with the client, answer any questions, and make adjustments if necessary. This stage may involve re-entering some data or tweaking the coverage options to better match the client’s needs. 

Final quote selection and application initiation 

Once the client is satisfied with a particular quote, the agent or client selects the policy. The software can then initiate the application process by auto-filling forms or directing the client to a secure online application platform. 

Submission to underwriting 

The completed application, supporting documentation, and pre-quote data are submitted to the insurer’s underwriting department. Here, a more detailed risk evaluation occurs, which might entail further premium adjustments or extra information requests. 

Issuance and policy delivery 

If underwriting is successful, the policy is issued. The client receives the final policy documents, and the digital system updates the client’s records. Some platforms also offer electronic delivery of policy documents and digital signatures for faster processing. 

How can an insurance quoting system simplify the process of quoting?

An insurance quoting software system is a solution that helps synchronize all of the above processes in one place, automate their flow, and make each interaction accessible.  

But for that, your life insurance quoting software solution must pack a range of features, each meeting a specific user goal, pain, or interaction area. 

Use this list as your essentials reference sheet. 

Accurate quote calculation engine 

First, your software needs a capable engine that runs custom pricing algorithms and actuarial models. It must be able to compute premium rates based on customer input and underwriting rules. 

An efficient calculator must feature variables like age, health, and lifestyle, which are filters that customers can use to generate accurately personalized quotes related to specific risk profiles.  

• Custom pricing algorithm 
• Risk assessment module 

Multi-carrier access and comparison 

The software must integrate with as many carriers as required to pull in different policy options and rates. These are usually displayed via specialized dashboards, which agents or customers can use to compare various insurance offerings side by side. 

• API integration 
• Data aggregator module 
• Comparison dashboard 
• Interactive filters 

Personalization and customization 

An insurance quoting platform can leverage other unique customer data, such as demographics, health history, and financial goals, to provide personalized recommendations and adjustable parameters (e.g., coverage levels, riders). 

• Smart customer profiling 
• AI recommendations 
• Customizable coverage options 
• Dynamic form builder 

CRM and legacy integration 

Connecting an insurance quoting app with other internal systems (e.g., CRM, policy administration) can help boost data consistency and automate more workflow angles. This is why such systems prioritize API connectivity and data synchronization from third-party sources. 

• Custom APIs and middleware 
• Database integration 
• Automated data synchronization 
• Data import/export 

Mobile-responsive UI 

Among the ultimate features of today’s insurance quoting software is its mobility. Customers and agents can easily switch from desktop to web to mobile, handling multi-stage insurance tasks.  

• Responsive design 
• Quick-access layout 
• Simple UX 

Compliance and regulatory support 

A considerable benefit of dedicated quoting software is that it can monitor the quotes’ compliance with up-to-date regulations and legal standards. This helps protect the agency and its clients from many legal risks. 

• Audit trails and quote logging 
• Automated data validation 
• Regulatory updates 
• Compliance reporting module 
• Non-compliant input flagging 

Automated data extraction and validation 

The dedicated software automatically collects and validates customer data coming from various sources. This is a sure way to speed up quote generation, cut manual errors, and boost accuracy. 

• Data capture tools 
• OCR or external data source integration 
• Customer data auto-filling 
• Automated form field validation 
• Real-time verification module 

Advanced reporting and analytics 

A good solution for digital quoting must provide detailed performance metrics, conversion rates, and profitability analysis, usually via dashboards and visualizations displaying KPIs. 

• Real-time KPI dashboards 
• BI integrations 
• Custom report generation 

Security features 

A platform working with such sensitive data requires strong security protocols and extra protection measures.   

• Data encryption 
• Multi-factor authentication 
• Role-based access control 

Workflow automation features 

It all comes down to the direct applications and uses of quoting software, which mostly involve automating various tasks.  

• Automated data entry 
• Quote and policy generation 
• Rule-based task scheduling 
• Autonomous notifications 

Development process

In 2025, most tech teams follow Agile methodologies to deliver projects in iterative sprints. Here’s an up-to-date breakdown of a usual sprint: 

1. Define requirements. The team collaborates with you to pinpoint high-priority features for the sprint, gathering clear, actionable tasks. 
2. Add functionality. Developers build and code the targeted features, often breaking them into smaller components to meet specific needs. 
3. Integrate and test. Newly developed features are integrated into a test environment, where end-to-end QA, bug fixes, and performance validations are conducted. 
4. Release. Once verified, the new functionality is deployed for immediate user access. 
5. Gather feedback. Real-world user and stakeholder feedback is collected to polish out, mend, and improve the software. 
6. Refine and iterate. Based on the feedback, necessary tweaks are made before launching the next sprint. 

Benefits you get with a tailored solution

No matter the complexity and list of features of your insurance quoting software, one thing is for sure — only a custom approach allows achieving genuinely unique solutions. Here’s what you get with a custom-tailored insurance quoting system.  

Tailored functionality 

Build a solution that fits perfectly your unique underwriting guidelines, risk models, and business tasks, making sure each feature finds its use. 

Stand-out customer experience 

Create an intuitive, branded interface with personalized features that, through automation and visuals, make it easier for clients to get accurate quotes. 

Rapid scalability 

A custom solution can be easily refactored to meet market conditions, product offerings, or customer needs changes. 

Simple integrations 

You have full control over custom software and can connect it with whichever existing systems you need for a smoother flow of information and consistent data across platforms. 

Actionable analytics 

The reporting tools directly integrated with your business processes offer insights into quote conversion rates, customer behavior, and profitability. 

Competitive edge 

Going custom is the proper way to differentiate in the market and automate insurance processes with something truly authentic. 

DICEUS expertise

Insurance-focused software development requires niche expertise and high-end qualifications. At DICEUS, seasoned software engineers and business experts gather into teams dedicated to implementing strictly insurance functions.  

• 14 years on the market 
• 150+ projects delivered 
• Over 100 IT services available 
• 8 offices around the globe 
• 250 full-time tech pros 
• Partnerships with Microsoft, Oracle, Google Cloud 

Our software product: Ready-made mobile app for life insurance 

Vitaminise is a full-on life insurance coverage solution and investment management app that allows handling most insurance routines on the go and/or autonomously. We developed a feature-rich mobile app that serves as an insurance hub for individual users and can be leveraged by companies for professional service purposes. 

Vitaminise features: 

• digital insurance cards 
• insurance plan dashboards 
• funds purchasing, selling, and rebalancing  
• event-triggered proposals 
• payment reminders 
• chatbot 

The built-in custom chatbot enables Vitaminise to consult users on standard insurance policy details, guide them through the app’s functionalities, and notify them of various actions, such as status updates and due dates.  

Wrap-up

Good life insurance quoting software is extremely useful for not one but several user parties—insurance carriers, agents or brokers, and customers. However, the best thing is that intuitive, simple-to-use apps enable uninsured and underinsured people from all segments of society and worldwide to enjoy advanced insurance features.  

From an insurance provider’s perspective, you get this vast, high-demand market area to cover, which holds stable profits. A custom solution will help you maximize them with unique selling points. Are you ready to build a tailored solution? 

FAQ