ShiftFlowIQ sits at the intersection of DevOps, AI governance, data workflow controls, and release discipline. The work behind it is real. The product is still being shaped into something the company can stand behind publicly without overclaiming.
Checks intended to live where teams already ship code: pull requests, deployment workflows, and governed release paths.
A product direction shaped by real delivery pain around AI SQL, model-adjacent changes, warehouse governance, and policy validation.
Evidence generation, rule enforcement, and decision trails designed to stay close to the delivery workflow instead of being bolted on later.
ShiftFlowIQ is being formed from live work across Snowflake, dbt, Azure DevOps, GitHub Actions, and regulated delivery environments.
