Your staff want to use AI — and they’ve probably already started, from personal accounts, copying text from work documents into free cloud services. That is precisely the problem: your organization’s data leaving its walls for servers you can’t locate and uses you can’t audit. Banning alone doesn’t work — the better answer is offering the same capability, inside the organization.

What is a “local model”?

A local language model is an AI model — like today’s open model families — running on hardware your organization owns, with a runtime like Ollama and an interface like Open WebUI. An employee opens an internal page on the organization’s network, writes, asks, summarizes — and all the data never leaves the room the server sits in.

When is it the right choice?

  • Your data is sensitive: student or patient records, administrative correspondence, contracts — things that shouldn’t be uploaded to an external service
  • Cumulative cost: per-employee monthly cloud subscriptions quickly overtake the cost of hardware bought once
  • Unreliable internet: a local model keeps working through outages — not a theoretical advantage in our environment
  • Control: you decide which models run, who reaches them, and what the usage policies are

Conversely, if your usage is light and your data isn’t sensitive, cloud services may be enough — honesty here saves you money.

What do you need to start?

Less than you’d expect: one workstation with a good GPU is enough to run excellent models for a whole team’s drafting, summarizing, and question-answering. More important than the hardware: realistic expectations (a local model is a smart assistant, not a magician), access and permission controls, and short staff training on effective use.

That’s exactly what we delivered in our private LLM deployment for an academic institution — from hardware selection to staff training.

The takeaway

AI is coming to your organization whether you like it or not — the real question is whether it enters through the door, under your rules and on your hardware, or through the window via employees’ personal accounts.

Book a consultation to assess your organization’s readiness — we’ll give you an honest answer, even if it’s “you don’t need it yet.”