Insurance Legacy Software Modernization: Complete Guide

Why Modernize Insurance Software Now?

Insurance customers want affordable products, simple digital journeys and fast service. Business teams want to launch new products in weeks, not quarters. And everyone wants to put AI to work.

Many insurers can't deliver any of this, and the reason is usually the same: the systems underneath. Core platforms built decades ago still run policy, billing and claims at a large share of insurers, and every new idea has to pass through them.

The answer is insurance legacy software modernization. The harder question is how to do it without betting the business on a single, risky project.

What Legacy Software Really Costs

Legacy systems rarely fail outright. They cost money quietly, every year, and they slow everything else down.

Across industries, the pattern is the same. The US Government Accountability Office reports that federal agencies typically spend about 80% of more than $100 billion in annual IT spending on operating and maintaining existing systems.

Insurers are no exception:

• In a Wipro and Coleman Parkes survey of 100 CXOs at large US insurers, 93% said most of their IT budget goes on running existing systems, and 65% named legacy platform costs as the biggest barrier to moving money into new work.
• A West Monroe survey found that 52% of insurers delayed or cancelled two to three major technology projects in the past year because of budget pressure. Nearly half run core platforms that are six to ten years old, and some are more than 15.
• In Novidea's survey of 200 insurance leaders, 73% plan to change their core insurance technology within three years.

Four Major Issues Facing Legacy Insurance Software

Many insurers stick with an "if it ain't broke, don't fix it" mindset. But in our experience, there are four areas where legacy software holds insurers back:

• High operational costs. Maintenance, manual workarounds and fragile integrations consume the budget that should fund growth.
• Slow product development. Even small product changes need IT projects and release cycles, so new products arrive after the market has moved.
• Integration challenges. Older architectures lack modern APIs, which makes it hard to connect brokers, embedded partners, payment providers and data services.
• No foundation for AI. AI needs clean, connected data and systems it can safely work with. Data spread across ageing systems, with nightly reconciliations, makes useful AI much harder.

Why Big-Bang Replacements So Often Fail

The obvious fix is to replace the old core with a new one in a single program. It's also the riskiest.

BCG puts the failure rate of large transformations at around 70%, and insurance has its share of cautionary tales. In one BCG example, a central European insurance group abandoned a cross-country platform project after eight years, writing off more than $500 million. Another carrier completed its claims platform program 500% over budget.

The prize is real, though. BCG estimates that a modern core platform could boost revenue by 25% and make new-product launches three to four times faster. The question is how to get there without a multi-year, all-or-nothing bet.

A Better Path: Modernize in Steps, Not a Big Bang

The safer route is progressive modernization: move one product or line of business at a time, while the legacy system keeps running and gradually winds down.

With Openkoda, that path has six steps:

1. Start without a rip-and-replace. Openkoda is set up alongside the legacy policy system, so nothing has to be switched off on day one.
2. Model one line. Configure a first product, its pricing and workflow on the new core, without a multi-year build.
3. Integrate and coexist. REST APIs and webhooks connect Openkoda to the existing policy, billing, finance and broker systems, so data flows both ways during the transition.
4. Migrate data product by product. Move policies and data one line at a time, at renewal or in batches.
5. Run in parallel and validate. Operate both systems and compare results until the numbers reconcile.
6. Decommission legacy on your terms. Retire the old system piece by piece, when you're ready.

Each migration is a contained project with its own go-live, so the business never depends on a single cutover date, and brokers and policyholders don't face a service gap.

What You Modernize Onto: A Customizable, AI-Enabled PAS

A modernization is only as good as the system you move to. If the new core is as rigid as the old one, you've just reset the clock on the next replacement.

Openkoda is a highly customizable, AI-enabled policy administration system. Product and rating, underwriting, policy administration, claims, billing, documents, bordereaux and reporting run on one data model, ready from day one.

What makes it a lasting foundation:

• Products are configuration. Coverages, rating, underwriting rules and workflows are changed by business users without a release cycle. The AI Product Builder drafts products and changes from plain English or a requirements document, and every change creates a new version, so policies in force keep their terms.
• Built for integration. REST APIs, webhooks and an MCP server for AI assistants, so the new core connects to what you keep and to the AI tools you adopt next.
• AI on clean data. With policy, claims and billing on one data model, Reporting AI and the underwriting copilot work on consistent, live data.
• Your data, your deployment. Managed cloud or on-premise, with the same features either way. Data sits in a database you control and configuration can be exported at any time, so you don't trade one form of lock-in for another.

Core Travel Insurance, for example, replaced a legacy system that couldn't support its distribution model and went from implementation to production in eight weeks, including the migration of existing clients.

Why Choose Openkoda to Modernize Your Insurance Legacy Software?

When starting a modernization project, you have options: your internal IT team, an outsourced insurance software development company, or a large core suite with a multi-year implementation.

Openkoda combines a ready, customizable PAS with a team that knows how to move insurers onto it. Engagements start with five complimentary days of configuration analysis. From there, Openkoda's engineers configure your products, build the integrations that let old and new systems coexist, migrate your data line by line and stay on with SLA-backed support, while your business team takes over day-to-day product changes.

The result is modernization that pays off step by step: each line you move runs on a modern core, with lower risk and no all-or-nothing deadline.

Want to see how it could work for your book? Explore Openkoda's approach to insurance software modernization or book a demo.

Comments

[Elle Dsouza]

Modernizing insurance legacy software is crucial for enhancing operational efficiency, ensuring regulatory compliance, and improving the customer experience. This guide provides valuable insights into the transition process, helping insurers adopt scalable, secure, and future-ready solutions. A must-read for those looking to remain competitive in a rapidly evolving industry!