Patterns / AI Architecture
AI Platform Architecture
A governed layer for models, retrieval, evaluation, and observability shared across the enterprise.
Use Cases
AI Gateway
Retrieval & Data Products
Guardrails & Evals
Observability
Conceptual flow
Problem
Every team wires its own model access, prompts, and vector store, producing duplicated cost and ungoverned risk.
Context
Enterprises moving from AI pilots to multiple production use cases.
Solution
Provide a shared gateway for model access, a retrieval layer over governed data products, prompt and evaluation registries, guardrails, cost attribution, and full request observability.
Benefits
- Cost control
- Consistent guardrails
- Reusable retrieval
- Auditable AI decisions
Risks
- Platform lag behind use-case demand
- Central bottleneck if under-resourced
Trade-offs
- Standardisation over per-team freedom
When to use
- Three or more production AI use cases
- Regulated environments
When not to use
- A single experimental pilot
Related patterns
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