Integrate: statements 31 - 32
The integrate stage of the AI lifecycle focuses on implementing and testing an AI system within an agency’s internal organisational environment, including with its systems and data.
Deploying a standalone or integrated AI system into existing IT infrastructure involves assessing compatibility and confirming data interoperability. This may require some reconfiguration to current systems.
Agencies can achieve the best outcomes at this stage by adopting practices that closely align with those implemented at the test stage. This ensures the AI system has been thoroughly tested against its intended purpose prior to integration – a key measure before the AI system potentially contaminates the business environment. See Test section for a detailed discussion on testing methods.
Following recommended practices for managing code integration workflows for AI systems will help agencies to maintain quality, security, and consistency.