CI/CD for AI applications is still CI/CD: run checks, build a repeatable artifact, deploy carefully, and roll back when needed. The difference is that an AI application's behavior can change for more reasons than code.

Prompts can change. Retrieval data can change. Model settings can change. Safety rules can change. A hosted model provider may also update the model behind an alias you use in production.

Good pipelines make these changes visible before they reach users. They also give the team a fast way to pause, roll back, or limit exposure when the release signal is unclear.

In this chapter, we will use the same standard you would expect from any production service: repeatable builds, clear release checks, traceable artifacts, staged rollout, and a practical rollback path.