Case Studies

A system-level case study in operational control for machine learning lifecycles. Focuses on how explicit decision structures, governance mechanisms, and lifecycle constraints prevent uncontrolled model evolution in low-infrastructure environments.

A mobile system case study focused on controlling volatility, inconsistency, and availability risk in upstream data dependencies through deterministic state management and centralized persistence.