If you're building AI systems, standard software architecture documentation won't capture ML-specific risks like model drift or data dependencies—RAD-AI provides a structured way to document these for both compliance and team understanding.
RAD-AI extends existing architecture documentation frameworks (arc42 and C4 model) to handle AI systems, adding sections for probabilistic behavior, ML lifecycles, and data dependencies. It maps to EU AI Act compliance requirements and shows 93% coverage of regulatory documentation needs versus 36% for standard frameworks.