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Transforming Legacy SQL Workflows with Snowflake Cortex Code

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50+

States

1000+

Healthcare provider

Download Case Study

    A leading healthcare enterprise modernized its mission-critical invoicing pipeline using a spec-driven approach powered by AI and Snowflake Cortex Code.

    Instead of manually rewriting thousands of lines of complex T-SQL logic, AI was used to reverse-engineer stored procedures into structured specifications and automatically generate modular DBT pipelines.

    This enabled a shift from monolithic, hard-to-maintain SQL procedures to scalable, testable data pipelines, accelerating delivery timelines from months to days while improving accuracy, maintainability, and operational visibility.

    Business Impact
    • Code Modernization: 14 stored procedures (6,292 lines of T-SQL) transformed into modular, testable DBT models
    • Accelerated Delivery: From months to days, AI-driven spec generation and code automation significantly reduced migration timelines
    • High-Confidence Invoice Accuracy: Parallel EOM validation against production systems, ensuring financial and regulatory correctness before cutover
    • Preservation of Complex Business Logic: 100% critical invoicing logic retained including NSA dispute workflows, fee calculations, and EDI-based remittance lineage
    • End-to-End Data Lineage Visibility: Full traceability across 5 databases and 30+ source tables improving transparency in dispute and invoice processing
    • Operational Observability: Centralized orchestration and monitoring, replacing opaque SQL Agent jobs with fully visible, managed workflows
    • Regulatory-Grade Validation: 15+ business rules systematically enforced ensuring compliance across healthcare dispute and invoicing processes
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