Patterns
Implementation control library
Find the implementation control behind the gap.
138 implementation controls mapped to architecture, obligations and evidence. Search the problem; open implementation depth only when you need it.
AI API Gateway
The AI API Gateway pattern establishes a purpose-built control plane that sits between all AI consumers and all AI mod…
EAAPL-PLT010 — AI Developer Portal Architecture
Enterprise AI capabilities—LLM APIs, embedding services, vector stores, AI agent frameworks, fine-tuning pipelines—are…
AI Experiment Tracking
AI systems that cannot demonstrate systematic evaluation before production deployment are a governance liability. When…
Enterprise AI Platform
The Enterprise AI Platform pattern establishes a shared, governed infrastructure layer that enables product teams to c…
Feature Store Integration
Feature stores solve a deceptively simple problem: when an ML model needs a feature during inference, how does it get…
LLM Caching Layer
LLM inference is expensive and often redundant. Across enterprise deployments, 20–40% of LLM requests are near-duplica…
LLM Cost Control
LLM inference costs exhibit a dangerous property shared with no previous enterprise technology: they scale with usage…
Model Routing
The Model Routing pattern establishes intelligent, policy-driven dispatch of AI inference requests to the optimal mode…
Multi-Tenant AI Platform
When an AI platform serves multiple tenants—whether internal business units within an enterprise or external customers…
Prompt Version Control
Prompts are the primary programming interface for LLM-based systems, yet most organisations treat them as informal tex…