Most AI pilots stall the same way. A model gets built, it works, and then nobody owns what happens next. We deploy, monitor, and run your AI in production, so it keeps working long after the demo ends.
Netrix has run production IT systems for mid-market teams since 1989. AI operations is the same job, applied to a newer kind of system.
Most teams have the deployment part figured out. Here's what we run once your model leaves the lab, without adding to your headcount.
We move your model from a notebook to a real, repeatable pipeline, so shipping an update isn't a manual, one-off project every time.
We watch accuracy, performance, and cost in real time, so you know a model's answers are slipping before your customers do.
Data changes, and models decay with it. We retrain and version your models on a schedule, so they improve instead of quietly getting worse.
When something breaks, it goes into the same incident process your team already trusts for everything else that can't go down. Someone answers.
AI Operations is the team that keeps your models running. Governance and security are a related but separate job, covered by our generative AI security and compliance work.
The same team also runs technical operations and security operations, alongside the rest of our managed services, so nothing you deploy falls into a gap between services.
What makes this different from hiring a platform or hoping the pilot holds.
What IT teams usually ask before bringing in AI operations support.
Bring us whatever's in pilot right now, and we'll show you what running it in production would actually take.
