The goal is to automate the creation of data quality checks for fintech lending and risk pipelines. The system must analyze schemas, business rules, historical patterns, and SLAs to produce a production-ready DQ test suite, alerting plan, runbook, and exception-handling policy. Outputs must align with regulatory-grade accuracy, deterministic test behavior, and low operational overhead.