This workflow supports on-call data infrastructure leads in handling incidents from triage to postmortem. It provides structured steps to assess alerts, determine blast radius, communicate with stakeholders, form root-cause hypotheses, and produce a blameless postmortem with action items. The goal is to ensure fast, calm, and systematic incident resolution with clear accountability and prevention measures.

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.