LLMOps Maturity Model™: A maturity model for progressing from experimental LLM use to resilient, governed, observable, and scalable operations

Large language models can move from demonstration to business use quickly, but production maturity does not emergeautomatically. Enterprises often accumulate disconnected prompts, provider integrations, retrieval pipelines, evaluationscripts, monitoring dashboards, and governance reviews without a shared operating model.The LLMOps Maturity Model™ defines four progressive operating levels: Prototype, Managed Delivery, GovernedOperations, and Scaled Intelligence. The model evaluates maturity across engineering, deployment, evaluation,observability, reliability, governance, security, cost, and lifecycle management.The purpose is not to force every workload toward maximum complexity. Instead, organizations should establish the level ofoperational maturity appropriate to the risk, scale, business criticality, autonomy, and economics of each LLM system.Core outcomes• Create a common language for assessing LLM operational maturity.• Identify gaps between experimentation and dependable production operation.• Sequence investments across engineering, evaluation, observability, governance, and platform capabilities.• Improve reliability, cost visibility, security, and lifecycle control.• Enable reusable enterprise capabilities instead of isolated application-specific solutions.• Support evidence-based decisions about when and how to scale LLM systems.