The case for self-hosted is real
When you use ChatGPT, Copilot, or any cloud AI service, every prompt you send and every document you upload passes through infrastructure you don't control, under terms of service you probably haven't read carefully. For many businesses that's an acceptable trade-off. For others — legal, finance, healthcare, anyone handling confidential client data — it isn't.
Self-hosted AI means the model runs on hardware you own or control. Nothing leaves your network. No API calls to external servers, no data retention policies, no risk of your confidential information being used to train someone else's model.
But it comes with real operational requirements
Running a local LLM isn't like installing software. You need hardware capable of running the models you want — and capable hardware isn't cheap. You need someone to set it up correctly, keep it updated, and make sure it's actually performing. A self-hosted AI that's slow, outdated, or poorly configured isn't saving you anything.
The businesses that get real value from self-hosted AI have a few things in common: they have a clear use case, they have the hardware to support it, and they have someone managing it properly after the initial setup.
When the cloud is fine
If your team is using AI to draft marketing copy, summarise public information, or generate boilerplate content — and none of that involves confidential data — cloud AI tools are probably fine. The risk profile is low and the operational overhead is zero.
When it isn't
If your team is asking AI to review contracts, summarise client communications, analyse financial data, or work with anything you wouldn't want on a public server — you should be thinking seriously about where that data is going. Cloud AI services are convenient. They are not private.
Most businesses don't have a policy about what data employees are sending to AI services. By the time they think about it, it's already happened.
The question to ask
Would you be comfortable if the contents of every AI prompt your team sends became accessible to a third party? If the answer is no — or even maybe — that's the conversation that leads to self-hosted.
Self-hosted AI isn't the right answer for every business. But for businesses handling sensitive data, it's often the only answer that actually addresses the risk.
Not sure which side of the line you're on?
We deploy and manage self-hosted AI for businesses that need the capability without the data exposure. Get in touch and we'll help you work it out.
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