Health Insurer Automates Code Generation, Cuts LLM Costs 85% 

Every Line of Code Started With a Security Risk.

A large Midwest health insurer needed faster code generation for data pipelines. The process they had worked — technically. But before every external LLM API call, developers manually obfuscated protected health information. When the code came back, they manually reversed it.

Every single time.

The workflow was time-consuming, error-prone, and pulled engineering teams away from building. And the external LLM wasn't even optimized for code generation — it was expensive, slow, and carrying HIPAA risk with every call.

The answer wasn't a better external API. It was eliminating the external dependency entirely.

Code Generation That Never Leaves the Building

We deployed a code generation workflow entirely within the client's Databricks environment — no external API calls, no manual obfuscation, no PHI leaving the building.

Instead of relying on an external LLM, we hosted an open-source model optimized specifically for source code generation and tailored it through custom prompt engineering to interpret source-to-target mapping files and produce production-ready code. A secure endpoint within Databricks keeps the entire process internal and HIPAA-compliant by design, not by workaround.

ETL transformation and unit test script generation now run automatically from simplified input files across SQL and Scala environments. What used to require manual intervention at every step runs end to end without human involvement — no bottlenecks, no obfuscation steps, no error-prone reversal process on the other side.

85% Lower Costs. Zero Manual Obfuscation. HIPAA Compliant by Design.

LLM inference costs dropped 85%. Every manual obfuscation step is gone. Code generation runs faster with lower latency, entirely within the client's secure environment.

Now, engineering teams build instead of managing data cleanup. The security risk that lived inside every external API call is eliminated. And the workflow that used to depend on human vigilance to stay compliant now has compliance built into the architecture.

That's the difference between patching a security risk and removing it.