AI Implementation

AI Implementation describes the work of integrating AI into real applications and workflows, including data preparation, system design, testing, deployment, governance, and adoption. It matters because organizations need clear technical and operational boundaries around AI before they can use it reliably at scale. Related concepts often include governance, integration, monitoring, evaluation, and human oversight.