RAISP01-BP01 Detail your core AI system design in a system registry
Detail how your AI system works, including the components and the data flows between them. When issues come up, you need to know exactly where problems might creep in, which components could fail, and how problems in one part affect the whole system. Include details about component versions and dependencies so you can track which specific versions might be causing issues and understand how updates could affect your system behavior.
Level of risk exposed if this best practice is not established: High
Implementation considerations
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Create System Architecture Diagrams: Create system architecture diagrams including preprocessing steps, model architectures, deployment configurations, and integration points. Show end-to-end data flow and component relationships in architecture diagrams.
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Define Component Specifications and Interactions: Detail each component's functionality, input/output specifications, and dependencies. Document data transformations, model parameters, and performance requirements. Include API specifications, security controls, and integration requirements. Map how components communicate and share data across the system.
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Establish Documentation Management System: Set up a centralized registry for system documentation, including design decisions and component versions. Implement version control for document updates, create clear update and approval process, and establish review cycles. Include both technical details and business context for each component.
Resources
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