Generative AI Operations (GenAIOps)

Generative AI operations (GenAIOps) is the set of practices, processes, and controls used to deploy, manage, monitor, and scale generative AI solutions in enterprise environments. It extends traditional MLOps by addressing the unique challenges of large language models, including prompt management, model versioning, cost control, security, and output quality. The discipline covers lifecycle management from development through production, with continuous monitoring for performance, drift, bias, and compliance. Generative AI operations (GenAIOps) also emphasizes governance, auditability, and human oversight to ensure solutions remain reliable, responsible, and aligned with business objectives as usage and complexity increase.