These products support implementation and are most effective when used within a broader cloud and AI operating model.
SCAF Foundations
Establishes the governance and architecture foundation required to operate cloud environments at scale.
Defines environment structure, control boundaries, and cost discipline across Dev, Test, Pre-Prod, and Production.
Ensures consistent visibility and operational control.
Provides implementable baselines, segmentation patterns, and decision frameworks to standardize platform design and governance.
Scaling AI - SCAF Extension
Extends the operating model to AI systems, introducing governance structures for how AI workloads are built, deployed, and controlled.
Defines control boundaries across retrieval, routing, model execution, and evaluation. Ensures AI systems operate with consistency, visibility, and oversight.
Provides structured patterns for managing model behavior, vendor integration, and execution pipelines in complex AI environments.
SCAF Foundations + Scaling AI
A complete cloud and AI governance operating model
SCAF Foundations establishes the baseline for cloud environments. Scaling AI extends that model to AI systems, applying the same discipline to model lifecycle, execution, and control boundaries.
These toolkits provide structured artifacts that mirror the operating model and support implementation. Their value is in enabling consistent application of that model across environments, workloads, and AI systems.