Case Study
The client is a US-based independent software vendor (ISV) operating in the healthcare software market. It develops and maintains business-critical applications used by its customers.
89% fewer
lines of code
with same
capabilities delivered
Consolidated
business logic
which is much easier to understand and change
5X fewer
structural flaws
cutting risks and
maintenance costs
“The AI + CAST approach delivered the same capabilities with less code, driven by architectural simplification.”
Senior Director of Development
CAST makes AI-driven application modernization more reliable and maintainable for a US healthcare ISV by equipping AI with deterministic, application-wide architectural context.
Challenge
A US healthcare software provider's core application had become hard to change. Built on an aging .NET framework with third-party UI components and spanning several hundred thousand lines of code, it suffered from poor agility and maintainability: business logic was buried and undocumented, and the code was tightly coupled to its database schema.
The provider set out to overhaul it for better maintainability.
Solution
The provider rebuilt the application twice: once with AI alone, then again with AI grounded by CAST. CAST Imaging automatically mapped the system – structure, dependencies, business rules, and ISO 5055 findings – and, via MCP, provided this context to an AI assistant powered by Claude.
Knowing how everything connected, the AI could rearchitect it, consolidating business logic into reusable services and abstracting database details.
Results
The two approaches produced very different outcomes. Guided by CAST, the AI delivered the same application capabilities with around a tenth of the code – 89% fewer lines – and consolidated business logic into services that are far easier to understand and change.
It was far more robust: five times fewer structural flaws per KLOC than the AI alone build. That means lower risk, lower maintenance costs, and a codebase that can easily evolve.
