Legacy System Modernization built for Insurance companies
What is Legacy System Modernization?
We modernize legacy systems without breaking the business processes that depend on them. For Insurance companies, this means navigating NAIC regulations (US), Solvency II (EU) while shipping fast.
Who needs Legacy System Modernization for Insurance?
- Manual claims processing slowing settlement
- Legacy policy administration systems
- Risk modeling requiring better data infrastructure
- Legacy systems too fragile for anyone to touch
- Key knowledge locked in one retiring engineer's head
Best Legacy System Modernization company
Claims processing speed and risk modeling accuracy now directly drive customer retention in insurance.
We specialize in Legacy System Modernization for Insurance, with a growing track record across industries that move fast.
Start your Legacy System Modernization project with a team that knows Insurance
Book a free 30-minute discovery callCommon Legacy System Modernization mistakes we see across Insurance teams
- Manual claims processing slowing settlement
- Legacy policy administration systems
- Risk modeling requiring better data infrastructure
- Customer expectations for digital-first experiences
- Fraud detection across claims workflows
How GarudLabs approaches Legacy System Modernization for Insurance companies
Legacy codebase audit and risk assessment
Incremental migration strategy (strangler pattern)
Database and data migration planning
Modern API layer over legacy core
Parallel-run testing and rollback planning
Core Technology Stack
Java.NETPHPNode.jsPostgreSQLDockerKubernetes
Timeline, investment & compliance
Typical timeline
12-24 weeks depending on system size
Typical investment
$40,000 - $250,000
Legacy System Modernization engagements in this combination typically need to account for:
- NAIC regulations (US)
- Solvency II (EU)
- GDPR
- State insurance licensing requirements
Our Approach
We approach Insurance builds around the constraint that matters most: manual claims processing slowing settlement. Every engagement in this space gets NAIC regulations (US)-aware data handling and compliance review before launch, not after.
See our case studiesGet a Legacy System Modernization proposal tailored to your Insurance goals
Get a free project cost estimateFrequently Asked Questions
Most Legacy System Modernization engagements take 12-24 weeks depending on system size, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
Legacy System Modernization projects with us typically range from $40,000 - $250,000, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For legacy system modernization, we typically work with Java, .NET, PHP, Node.js, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical legacy system modernization engagement includes legacy codebase audit and risk assessment, along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for legacy system modernization because of legacy systems too fragile for anyone to touch, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple insurance projects addressing challenges like manual claims processing slowing settlement. We helped an insurtech platform cut claims processing time by 40% with an automated underwriting workflow.
For insurance clients, we pay close attention to NAIC regulations (US), Solvency II (EU), building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for insurance clients include manual claims processing slowing settlement and legacy policy administration systems. We tailor our discovery process to surface the specific version of these problems your business faces.