Low Code Insurance Platform: The Foundation for AI-Infused Product Development

Insurance carriers' distribution networks, which traditionally consisted of agents, brokers, and affinity channels, have expanded to include aggregators, B2B2C partners, embedded insurance partners, and other digital channels. Each channel offers a distinct customer experience and value proposition to customers; for example, agents provide personalized guidance and support, while aggregators offer price comparison and help customers identify the best deal for them.

As distribution models become more diverse, carriers need technology that supports different product and distribution requirements. Consider a term life insurance product; a direct or B2B journey may require customers to complete KYC and payment within the insurance journey, while a bancassurance journey may not require these steps if the bank has already completed them. 

This raises a question: how can carriers manage different partner buy journeys for the same product while keeping the underlying product setup consistent? 

Many insurers have answered it by adopting a low code insurance platform which can deliver rapid product launches and configuration capabilities. Recent progress in AI and LLM technology offers insurers a new way to speed up product development; their existing low-code platform now serves as a launchpad for infusing AI into the product creation and set up workflow. 

Importance of Agent-Broker Distribution Journeys for Insurers 

Agents and brokers remain important distribution channels, especially for life insurance products that can involve lengthy journeys, multiple data points, and several validation steps. A carrier therefore needs to tailor the buying experience not only to the product but also to the distribution partner. The agent / broker portal or front-end experience has to accommodate these differences without a separate, highly customized technology setup for every partner. But building and testing customized portals takes significant development effort. 

This leaves insurers with a trade-off: can they tailor the buying experience for a distribution partner without making every new variation a major development effort? 

Low code insurance platforms like Insillion are built around this question. A standardized, reusable product foundation makes it easier to introduce variations in workflows and experiences while keeping the underlying product logic consistent. 

Where Insurance Distribution Software Needs More Flexibility for Partner Journeys 

Supporting multiple distribution journeys becomes more complex when products are built on systems that were designed before today's distribution ecosystem took shape. 

Managing multiple product codebases across channels 

When insurers manage multiple LOBs and distribution channels, product configurations can become fragmented across different systems and codebases. A change made for one distribution journey may need separate development for another, which makes it harder to maintain consistency while still supporting the specific requirements of each channel. 

Flexibility for designing partner buy journeys 

Insurers need enough flexibility to tailor a product's journey to each distribution partner. Doing so requires the underlying system to handle variations in workflows, validations, rates, and other product rules without changing the core product each time. 

For a single product, this level of customization is manageable. It becomes harder as insurers introduce multiple products and work with a growing number of distribution partners. Rebuilding or modifying each journey individually leads to repeated development work and longer implementation cycles.

How Low Code Insurance Platforms can help 

Instead of maintaining separate implementations of the same product for different channels, a low code insurance product configurator lets insurers manage multiple distribution journeys, with their own workflows, rates, and validations, from a common product configuration. A bancassurance journey for a term life product can be configured differently from a direct journey, while both continue to use the same underlying product configuration. 

Reusable product components 

Standardization also makes it possible to create reusable components that can be configured across products. A carrier can maintain a library of covers and riders and reuse them when setting up later products, instead of recreating each component from scratch. 

Product development then shifts from building individual components again and again to configuring and reusing existing ones. Each subsequent launch takes less time, because the first product serves as the foundation. 

What AI-infused Low Code Looks Like for Insurers 

AI is already being introduced into several areas of insurance operations. Quote intake is one example, where unstructured information is converted into structured data. Some insurers are also experimenting with autonomous and agentic systems for underwriting. Much of the discussion around AI in insurance has focused on operational processes; product development is another part of the insurance value chain where AI can contribute. 

How a Low Code Insurance Platform Gives AI the Context It Needs 

For AI to be an enabler in a product development environment, it needs context. An LLM working with an insurance product set up has to understand the structures, rules, APIs, workflows, and validations that make up that product. 

That is harder when these elements are spread across different systems or implemented differently for every product and distribution channel. A standardized product foundation like a no code insurance platform supplies much of the structure AI needs to work with these systems. For insurers that have already adopted low-code insurance platforms, introducing AI into select processes can drive productivity gains while delivering immediate business ROI.

Use Case: AI-Infused Low Code for Portal Development and Testing

As insurers work with more distribution partners, they increasingly need to support multiple portals and front-end experiences for the same or related products. A life insurer, for example, may need: 

• A broker portal that supports multiple product variations and broker-specific workflows. 
• A D2C front end designed around a consumer-oriented digital experience, including elements such as premium calculators and guided journeys. 
• A portal for NBFCs or other embedded partners, with workflows, validations, and rates that vary based on the product and customer context. 

Developing the user interface is only one part of the process. Insurers also need to connect the portal to the relevant product configurations and APIs, test the different scenarios, and repeat the process whenever a product or journey changes. The effort increases after a product goes live. A change to a product rule or portal experience may need to be reflected across multiple variations, followed by another round of testing. When each implementation depends heavily on manually written code, even small changes can take significant development effort. 

Product development here involves creating multiple front-end designs and configuring each one to match the middle office. The same work repeats across agent and broker portals and across every product a carrier launches. Because the steps are so consistent from one product and channel to the next, this is a practical place to introduce AI and shorten the time each implementation takes.

Generating Portals from UI/UX Designs 

Insillion translates UI/UX designs directly into functional portals and front-end experiences, preserving the exact look and feel envisioned by the insurer. This gives product teams full control to apply their branding and customize the buying journey to fit business requirements.

Connecting Portal Designs to Low Code Middle Office Logic 

The next step is connecting the portal to Insillion's middle-office configuration, including the relevant APIs, product rules, and validations. Insillion uses a reusable skills layer for this step, giving AI the context it needs about the low code product configuration and the APIs that support it. The generated portal is then connected to the relevant product logic and validations in the middle office. 

Because the Insillion middle office keeps pace with the front end, insurers have the freedom to design portals with their brand and the specific workflows and validations for each distribution partner, that were configured in the low code platform. 

Bringing AI into Testing for Low Code Insurance Products 

Testing is another area where structured product configuration and AI can reduce repetitive effort. Insillion uses business analyst-defined functional scenarios to power AI-driven QC testing, this is particularly valuable for life insurance products with complex fields, validation rules, and combinations.

Instead of manually testing every scenario after each portal or product change, the automated test suites systematically validates the journey and design/UI checks catch regressions on every change​ helping insurers shorten testing timelines and accelerate time to market.

From manual implementation to AI-accelerated low code development 

Taken together, these three stages illustrate an approach to AI-assisted product development; where the underlying low code structure makes it possible to standardize the components being generated, connected, and tested, while AI shortens the time it takes to complete these tasks. This approach allows insurers to leverage their existing low-code insurance platforms while selectively integrating AI capabilities where they can add the most value.

The Future of AI-Infused Low Code Insurance Platforms 

As AI models continue to improve, their role in insurance product development is likely to extend beyond portal development and testing. Early use cases are already emerging in areas such as generating actuarial Excel models for pricing and rating logic. The first step for insurers who want shorter development timelines is to adopt a low code insurance platform like Insillion, which acts as the foundation for emerging technologies like AI and LLMs in the product development process. 

The opportunity for insurers lies in identifying where AI can complement existing product development processes. With standardized, reusable foundations in place through a low code insurance platform, insurers can introduce AI progressively into different stages of product creation and find new ways to work efficiently as their products and distribution networks grow.