version control

Enterprise AI applications require disciplined management of business context—such as definitions, policies, and rules—that goes beyond data accuracy and security. Adopting a Context Development Lifecycle, akin to software development practices like version control and testing, can help enterprises define, encode, review, test, publish, and update context consistently, ensuring AI systems remain aligned with evolving business knowledge and reducing maintenance complexity.

https://www.cio.com/article/4223499/enterprise-ai-desperately-needs-a-lifecycle-for-context.html