Offer a fixed-scope ML^? production operations package for teams with one to five deployed models. The service maps each model's business decision flow, defines operational KPIs^?, sets up monitoring and alerting, creates model runbooks, and establishes a monthly review cadence for drift, incidents, and improvement actions. Delivery can start as consulting plus managed operations, with reusable templates, connectors, and reporting workflows becoming productized over time.

More companies are deploying AI models into real workflows, but many lack mature MLOps and model governance practices. Hiring signals show companies are trying to fill this capability internally across multiple industries, suggesting a service provider can sell the outcome before building a full software platform.