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4 min read

What Is On-Premises AI? A Plain-English Guide for Small Businesses

by Dexal LLC

On-premises AI runs entirely on your own hardware — no cloud, no data sharing. Here's what that actually means and why more small businesses are choosing it.

What Is On-Premises AI? A Plain-English Guide for Small Businesses

You've heard the term "on-premises" before — usually in the context of servers kept in a back office rather than moved to the cloud. On-premises AI works the same way: instead of sending your data to a company like OpenAI or Google, the AI runs entirely on hardware you own and control. Here's what that means in practice, and why it matters more than most small business owners realise.

The short version

When you use ChatGPT, Gemini, or Microsoft Copilot, this is roughly what happens: 1. You type your question or paste your document 2. That content is sent over the internet to a remote server 3. The AI processes it there 4. The answer is sent back to you On-premises AI skips steps 2 and 4. Everything happens on your own machine. The AI model is downloaded and stored locally. Your questions and documents never go anywhere.

"But doesn't AI require massive computing power?"

This was true a few years ago. It isn't any more. Modern small AI models — the kind that run well on a business laptop or desktop — are remarkably capable for everyday tasks: summarising documents, drafting emails, answering questions about files you've uploaded, and more. A 2020-era Mac or Windows PC with 16GB of RAM can run these models without breaking a sweat. The tools that make this possible — Ollama and Open WebUI — are free, open source, and actively maintained. They give you a full browser-based AI interface that works offline, on your local network, accessible to your whole team.

What can on-premises AI actually do?

For a typical small business, the most useful applications are: Document work — Paste in a long report, contract, or set of meeting notes and ask for a summary, key points, or action items. Works on anything you paste in, with no file size limit to worry about. Drafting — Ask it to draft a client email, a proposal section, or a response to a complaint. Edit as needed. Nothing leaves your building. Q&A on your own files — With the right setup, you can ask questions directly about your own documents: "What does section 4.2 of this contract say about liability?" or "Which invoices are still unpaid according to this spreadsheet?" Staff assistance — Multiple people can use the same private AI through their browser on your local network. No per-seat subscriptions, no usage limits.

What it doesn't do

On-premises AI isn't a magic replacement for every cloud AI feature. It won't automatically pull live data from the web, and the very largest AI models (the ones that power the most advanced ChatGPT responses) require more hardware than a typical office machine. But for the everyday tasks most small businesses actually need, the gap is smaller than the vendors would have you believe.

Who it's most relevant for

Any business where confidentiality matters benefits from the on-premises approach. The obvious candidates are legal practices, accountants, medical offices, HR departments, and anyone in financial services. But it's just as relevant for any business that handles client data and wants to be certain it never ends up on someone else's server.

How do you get started?

The main barrier most businesses face is knowing whether their hardware is suitable and how to configure the software. Dexal's platform is managed by default, so most teams don't need to think about any of this. For organizations that specifically need the AI layer on infrastructure they control, that's available as a self-hosted option scoped through an Enterprise agreement. --- Curious whether your setup could support a self-hosted AI option? <a href="/contact">Get in touch</a> and we'll walk through what's possible.

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