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)
Data ArchitectureProven
EAAPL-DAT001

AI Data Mesh Integration

Enterprises adopting Data Mesh architectures face a structural challenge when integrating AI:…

EU AI ActISO/IEC 42001+1
Data ArchitectureProven
EAAPL-DAT007

AI Training Data Governance

AI training data governance is the foundation of responsible AI.

EU AI ActISO/IEC 42001+2
Data ArchitectureProven
EAAPL-DAT003

Data Lineage for AI

Regulators, auditors, and risk committees increasingly demand that organisations explain not just…

EU AI ActISO/IEC 42001+2
Data ArchitectureProven
EAAPL-DAT002

Data Quality for AI

AI systems are uniquely sensitive to data quality failures in ways that…

EU AI ActISO/IEC 42001+1
Data ArchitectureProven
EAAPL-DAT006

Federated Learning Pattern

Federated learning enables multiple organisations or devices to collaboratively train a shared…

EU AI ActISO/IEC 42001+2
Data ArchitectureProven
EAAPL-DAT005

Privacy by Design for AI Data

Privacy-by-design mandates that privacy controls are embedded into AI data pipelines at…

EU AI ActISO/IEC 42001+3
Data ArchitectureProven
EAAPL-DAT008

Real-Time Feature Engineering

AI models that make real-time decisions — fraud detection, personalised recommendations, credit…

EU AI ActISO/IEC 42001
Data ArchitectureProven
EAAPL-DAT004

Synthetic Data Generation

Many of the most valuable enterprise AI use cases — fraud detection,…

EU AI ActISO/IEC 42001+2