Enterprise AI Stack™
Visual Reference
Interactive diagrams illustrating the 6-layer operating model for enterprise AI systems — from governance through deployment.
6-Layer Architecture
The Enterprise AI Stack™ organises AI capabilities into six interconnected layers, each with distinct responsibilities and components.
AI Governance Layer
Establishes accountability, risk management and regulatory compliance structures.
AI Ethics Board
- Diverse stakeholders
- Policy oversight
- Ethical guidelines
Risk Management Framework
- Risk categorization
- Impact assessments
- Mitigation strategies
Compliance Mapping
- EU AI Act
- GDPR
- ISO 42001
- NIST AI RMF
- Sector regulations
Policy Engine
- Policy definition
- Rule enforcement
- Exception handling
Audit Trail
- Decision logging
- Model cards
- Compliance reports
Data & Knowledge Infrastructure
Foundation for AI systems: data pipelines, quality controls and knowledge representation.
Data Ingestion Pipelines
- Batch processing
- Real-time streaming
- API connectors
Vector Databases
- Embedding storage
- Similarity search
- Index optimization
Knowledge Graphs
- Entity relationships
- Ontology management
- Semantic reasoning
Data Quality Framework
- Validation rules
- Cleansing pipelines
- Quality metrics
Lineage Tracking
- Data provenance
- Transformation history
- Impact analysis
AI Model Layer
Model selection, adaptation and deployment infrastructure for production AI.
Foundation Model Selection
- LLM evaluation
- Domain-specific models
- Multi-modal models
Fine-tuning Pipelines
- PEFT/LoRA
- Full fine-tuning
- RLHF alignment
RAG Architecture
- Document retrieval
- Context augmentation
- Source attribution
Model Registry
- Version control
- Model metadata
- Deployment tracking
Evaluation Framework
- Accuracy metrics
- Bias detection
- Performance benchmarks
Agent & Orchestration Layer
Orchestrates agentic AI systems with tool use, memory and coordination.
Agent Design Patterns
- ReAct agents
- Plan-and-execute
- Hierarchical agents
Tool Registry
- API integrations
- Function calling
- Tool discovery
Memory Systems
- Short-term context
- Long-term storage
- Episodic memory
Multi-Agent Coordination
- Task decomposition
- Agent communication
- Consensus mechanisms
Human-in-the-Loop
- Approval workflows
- Human feedback
- Intervention points
Application Integration Layer
Connects AI capabilities to enterprise applications and user interfaces.
Enterprise APIs
- REST/GraphQL
- API gateway
- Rate limiting
Workflow Automation
- Process orchestration
- Event triggers
- Business rules
UI Integration
- Chat interfaces
- Copilot widgets
- Embedded AI
Event Bus
- Pub/sub messaging
- Event sourcing
- Stream processing
Integration Connectors
- CRM/ERP
- Productivity tools
- Custom adapters
Observability & Security Layer
Continuous monitoring, security controls and performance optimisation.
Performance Monitoring
- Latency tracking
- Throughput metrics
- Resource utilization
Drift Detection
- Data drift
- Concept drift
- Model degradation
Security Controls
- Access management
- Threat detection
- Input validation
Audit Logging
- User actions
- System events
- Compliance trails
Continuous Evaluation
- A/B testing
- Canary deployments
- Feedback loops
Cross-Layer Integration
Data Flow
Bidirectional data movement between layers
Governance Overlay
Policy enforcement across all layers
Security Controls
Embedded security at every level
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