Why keep AI on site in your business

On-premise AI means installing your artificial intelligence tools on a server the company owns, instead of renting an online service. Your data stays with you, costs are more predictable, and the tool becomes part of what a buyer takes over. It isn't always the right choice, but it's often the most prudent one.

What "on site" means

Most AI tools sold to small businesses run online. You send a document, a question or a price file to a provider's servers, often outside the country, and you get an answer back. You pay a subscription, often per user.

On-premise AI works differently. An AI model is installed on a computer or server the company owns, in your building or in a space you control. It reads your documents and history without them ever leaving the company. That's the approach our regional partners put in place as part of step 4 of our path.

It helps to know what that looks like in practice. The models a small business runs on its own server are smaller than the ones behind the big online services. For focused tasks, like summarizing a spec, finding a similar past quote or preparing a first draft, they can be enough. For long, complex reasoning, they're weaker. And either way, they're sometimes confidently wrong, so a person has to review what they produce. You also need a server built for the job, not the old computer in the basement. Before you buy it, check which programs could help and file those applications first: that's what step 3 on funding your automation covers.

Three reasons to keep AI in-house

1. Your data stays yours

Your prices, margins, quotes, client list and their terms: that's the core of what the company is worth. Sending that information to an outside service means accepting terms of use you didn't negotiate, and that can change. On site, you know where the data is and who can reach it.

It's simpler for your clients too. Some, especially industrial customers, ask to know where their drawings and prices are kept. A clear answer is easier to give when everything is in-house.

Quebec's privacy law applies either way, and it adds requirements when personal information is sent outside Quebec. On site, the question gets simpler, but it doesn't go away: have your setup reviewed by a lawyer.

2. The tool belongs to the company, not to you

In many small businesses, digital tools are subscriptions opened in the owner's name, paid with their card, behind their password. At the sale, each one becomes a question: who transfers what, and does it still work afterwards?

A tool installed on site, documented, with access in the company's name, transfers with everything else. It's an asset, like the equipment. For a buyer, that's one less dependency, just like the key business processes they'll examine.

3. Costs are more predictable

An online service billed by usage or per user can climb as the team uses it more. On site, most of the cost is paid upfront: hardware and installation. After that, there's maintenance and updates. It isn't necessarily cheaper; it's easier to forecast. Compare over several years, using the method in our article on small business automation.

When it isn't the right call

On-premise AI isn't always the answer.

• For very occasional use, an online service may be enough, as long as you put no sensitive data into it.
• If nobody inside can own it, the tool will likely degrade. You need a named owner and a partner for maintenance.
• When the task needs a large model's power, like drafting long, nuanced text, an online service will do better. Use it for those tasks, without putting your prices or client data into it.
• For some very heavy workloads, the hardware can cost more than the gain. The math has to be done case by case.

The right question isn't "online or on site?" but "which data goes where?". Many companies end up with a mix.

Pricing a staircase without the owner

Picture a metal fabrication shop in Quebec City that doesn't exist: $7 million in sales, 40 employees, an owner aged 64. The shop builds stairs, railings and light structures for general contractors. Its estimators prepare quotes from the drawings and specs they receive and the history of similar contracts. The owner reviews every one, because he's the one who "knows" how many shop hours a staircase really takes.

The company installs an AI tool on a server in its offices. It's given access to past quotes, the actual costs of each contract and the price grid written earlier. When a request comes in, the tool proposes a first estimate and shows the similar contracts it's drawing on. The estimator checks it, adjusts and sends it. For the first few weeks, he also redoes his own estimate to compare: the tool gets unusual parts wrong, and those cases get logged.

Nothing leaves the company: not the prices, not the clients' drawings. The controller owns the tool, with a written maintenance procedure. The owner now reviews only the unusual quotes. At the sale, the tool, its history and its documentation are part of the file. This example is made up; it shows one way to do it, not a promised result.

Questions to ask any supplier

Whether you go on site or online, ask these questions before you sign:

• Where exactly is my data stored, and who can access it? Ask for the answer in writing.
• What happens to my data if I stop paying? You want to be able to export it, and have it deleted.
• Can the licence be transferred to a buyer? If not, it's a dependency you'll have to fix later.
• Who updates the system, and how often? A tool that isn't maintained becomes a risk.
• Can it work without an internet connection? For an on-site tool, the answer should be yes.

A supplier who dodges these questions is giving you an answer too.

The checklist before you install

1. Pick one specific task. Preparing quotes, answering employees' frequent questions, sorting documents. Not "doing AI".
2. Inventory the data. What does the tool need to read? What's sensitive? Where does it live today?
3. Name an internal owner. One person who follows the tool, flags errors and coordinates updates.
4. Write the maintenance procedure. Backups, updates, access, what to do when it breaks. See how to document business processes.
5. Put everything in the company's name. Hardware, licences, accounts. No personal access.
6. Test on your real files. Before buying hardware, have the tool tried on twenty or so past quotes whose outcome you know.
7. Keep a human in the loop. The tool proposes; a person decides and signs.
8. Involve the team early. The employees who use the tool need to understand it removes tasks, not jobs. See automating without losing your employees.

Do it with a pro

Alone, choosing the hardware, installing a model, connecting it to your data and securing it is a technical project that can drag on for months. Our regional partner installs it on site, connects it to your systems, trains your internal owner and leaves complete documentation. To see whether it makes sense for you, start with our free audit.

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