EAAPLEnterprise AI Architecture Pattern Library

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-MDL001 — Model Versioning and Lineage Tracking

AI models are long-lived, continuously evolving artefacts.

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…