Section 8
AI4EA Core Engine
Four interconnected architecture pillars: sourcing, knowledge, integration and governance.
The Core Engine represents the primary architecture decision space of AI4EA. Its four pillars are interconnected decision domains rather than sequential stages. Governance, security, economics and evaluation operate across the architecture, while sourcing, knowledge and integration decisions are evaluated collectively for each use case.
Pillar I
AI Sourcing & Model Strategy
- ▸Build / Buy / Configure
- ▸Model Selection
- ▸RAG vs. Fine-Tuning
- ▸TCO & Latency
- ▸Model Governance
Core artifact
AI Sourcing & Model Strategy Decision
Pillar II
Data & Knowledge Architecture
- ▸Enterprise Data Access
- ▸Hybrid Search (Vector + Lexical)
- ▸Knowledge Graphs
- ▸Metadata & Lineage
- ▸Knowledge Reuse & Access Control
Core artifact
AI Data & Knowledge Architecture
Pillar III
AI Integration & Orchestration
- ▸Agents & Tools
- ▸APIs & Events
- ▸Workflows & Orchestration
- ▸Human-in-the-Loop
- ▸Enterprise System Integration
Core artifact
AI Integration & Orchestration Architecture
Pillar IV
Governance, Security & Economics
- ▸Security & Privacy Controls
- ▸Responsible AI
- ▸Risk & Compliance
- ▸Evaluation & Monitoring
- ▸FinOps & Cost Management
Core artifact
AI Governance, Security & Economics Architecture
Continuous Evaluation & Observability
Quality · Risk · Security · Cost · Performance