Model ManagementProven
EAAPL-MDL001 — Model Versioning and Lineage Tracking
AI models are long-lived, continuously evolving artefacts.
Pattern Library
Enterprise AI Architecture Patterns
117 patterns across 13 architecture domains. Filter by category, maturity, or regulatory framework.
8 patterns(1 filter active)
Model ManagementProven
EAAPL-MDL002 — Shadow Model Deployment
Shadow model deployment allows an organisation to validate a new AI model…
Model ManagementProven
EAAPL-MDL003 — Canary Model Release
Canary model release is the controlled, incremental exposure of a new AI…
Model ManagementProven
EAAPL-MDL004 — Model Rollback
Model rollback is the capability to revert production AI model serving to…
Model ManagementProven
EAAPL-MDL005 — Multi-Model Ensemble
Multi-model ensemble combines the outputs of two or more AI models to…
Model ManagementProven
EAAPL-MDL006 — Fine-Tuning Pipeline
Fine-tuning is the process of adapting a pre-trained foundation model to an…
Model ManagementProven
EAAPL-MDL007 — Model Compression and Optimisation
Model compression reduces the computational footprint of an AI model — memory…
Model ManagementProven
EAAPL-MDL008 — Model Access Governance
Model access governance controls who can invoke, export, copy, and administer AI…