Case Study: FinThrive accelerates engineering with Databricks Agent Bricks

Turning code into conversations with Agent Bricks to accelerate engineering

FinThrive, a healthcare revenue-cycle company serving thousands of providers and millions of patient accounts each month, was struggling with a sprawling engineering environment built on hundreds of Databricks Notebooks, legacy pipelines, and scattered documentation. New engineers had trouble tracing dependencies, while experienced staff were constantly interrupted with ad hoc questions. FinThrive used Databricks Agent Bricks to make its codebase “askable” and provide a governed, data-grounded assistant for both technical and non-technical users.

Using Databricks, FinThrive built multiple agents for Databricks code, Azure Data Factory, and internal documentation, then tied them together with a supervisor and a Databricks App chat interface. The solution delivers cited answers, code excerpts, dependency explanations, and downstream impact analysis in natural language. The result was faster onboarding, fewer interruptions, and highly accurate responses with almost no hallucinations, while automated Databricks Jobs kept the knowledge source synchronized with pipeline updates.

FinThrive

Ben Bartholic

Principal Data Engineer