AI-Powered Query Migration Service for a Top-Tier Insurance Provider

Client Challenges and Requirements

• Fragmented SQL workflows: Legacy SQL workflows led to inconsistent interpretations across regulatory reporting processes.
• High manual effort and SME dependency: Manual reporting increased operating costs and reliance on subject matter experts (SMEs).
• Limited source-to-target documentation: Incomplete documentation made query mapping slow and error-prone.
• Complex legacy queries: Unmigrated legacy attributes and complex scripts created gaps in mapping.
• Regulatory compliance requirements: Regulators required consistent, auditable reporting across states and business divisions.

Bitwise Solution

• Implemented a centralized AI/LLM-based query migration service on Databricks to parse legacy SQL and generate governed target SQL.
• Built an intelligent mapping pipeline using Unity Catalog search, data profiling, and confidence scoring to improve mapping coverage.
• Embedded human-in-the-loop validation, enabling SMEs to review low-confidence mappings and feed corrections into a self-learning engine.
• Automated reconciliation to validate generated SQL and strengthen data lineage and auditability.
• Established a reusable regulatory control plane using Delta Tables, prompt libraries, and dashboards to support consistent, governed query migration.

Tools & Technologies We Used