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.
EAAPL-INT007 — AI Circuit Breaker
Implementation guidance and evidence expectations.
EAAPL-INT003 — AI-Powered API Composition
AI-Powered API Composition uses large language models with function-calling capability to dynamically orchestrate sequ…
EAAPL-INT006 — AI Webhook Pattern
The AI Webhook Pattern delivers AI-generated notifications, inference results, and asynchronous AI processing outcomes…
EAAPL-INT005 — Batch AI Processing
Batch AI Processing applies AI inference to large volumes of data through scheduled or event-triggered pipeline jobs.…
EAAPL-INT008 — Bidirectional AI Sync
Implementation guidance and evidence expectations.
EAAPL-INT001 — Enterprise AI Service Bus
The Enterprise AI Service Bus pattern establishes an event-driven integration backbone that routes, mediates, and gove…
EAAPL-INT002 — Legacy System AI Augmentation
The Legacy System AI Augmentation pattern adds AI capabilities to existing enterprise systems without modifying or rep…
EAAPL-INT004 — Real-Time AI Stream Processing
Real-Time AI Stream Processing applies AI inference directly to streaming data pipelines, enabling intelligent classif…