Success Story

Modernized a Mission-Critical Insurance Rating Platform with AI-Led Engineering for a Workers' Compensation Insurance Rating Organization

About the Client

A workers' compensation insurance rating organization

Challenges

The client’s most mission-critical application was a monolithic platform built on a common database that powered end-to-end workflows. The system had grown into more than a million lines of tightly coupled code, running on an obsolete stack and relying on manual test cycles that slowed every release.

  • A monolithic platform with a common database serving end-to-end workflows
  • 1M+ lines of tightly coupled code running on an obsolete technology stack
  • Manual test cycles that slowed releases and added risk to every deployment
  • A need to map dependencies and technical debt before committing to a modernization timeline and budget

Solutions

Innover combined AI-led analysis with a phased modernization approach, using AI tools extensively to understand the existing codebase before rebuilding it on a modern, cloud-ready foundation.

1. AI-led code-base analysis: AI tools were used extensively to map dependencies and technical debt across 1M+ lines of code in six weeks.

2. A 30% reduction in timeline and cost was committed upfront and delivered.

3. Phased modernization to .NET 10 microservices on a cloud-ready architecture.

4. AI-generated test scaffolds and CI/CD pipelines to de-risk delivery.

Impact Delivered

~90%

Accuracy in discovery phase

30%

Efficiency gain & reduced timelines

30%

Time and cost savings delivered