ABOUT AI PATTERNS
Make enterprise AI architecture governable.
AI Patterns is an enterprise AI governance and architecture product. It helps teams move from an AI use case or system description to a defensible architecture, implementation patterns, control decisions and evidence—without pretending that a pattern library alone is governance.
WHAT THE PRODUCT DOES
Architecture → patterns → controls → evidence.
Analyze exposes the architecture and material risks. The pattern library turns those risks into implementation choices. Control Twin keeps the governed target state visible. Evidence connects obligations and control proof back to that architecture.
That boundary matters. AI Patterns is not a cloud-IAM attack-path product and it is not the software-delivery privilege-path engine. Its job is to make enterprise AI architecture understandable, implementable and governable.
The product includes 138+ implementation-grade patterns and controls, mapped across major enterprise AI governance and regulatory frameworks.
BUILT FROM ENTERPRISE ARCHITECTURE PRACTICE
For teams that need more than AI principles and policy PDFs.
AI Patterns is built around the practical gap between governance intent and implementation: what should the architecture look like, which control belongs where, what evidence proves it, and what needs to change when the system evolves.