AI for business

AI in your company.
Without data leaks.

Your teams already use AI. The question is not if, but how. Neatem deploys the AI that fits your business and your constraints: Copilot inside your Microsoft tools, ChatGPT, Claude or Mistral in professional editions, or an LLM running on your own server, on your premises.

Review your AI usage: 30 min, free

The problem nobody wants to see

Shadow AI is the new shadow IT

In most companies it goes like this: a salesperson pastes a client proposal into their personal ChatGPT to rephrase it. A developer drops in source code to debug it. HR slips in an employment contract to summarise it.

Nobody does it out of malice. But the numbers speak for themselves:

1 in 2 More than one employee in two uses consumer AI at work

1 in 3 A third admit having exposed sensitive company data to it

1 in 5 One organisation in five has already had a security incident linked to shadow AI

Banning AI does not work. Your teams will use it anyway, on their phones. The only real answer: give them a framework and better tools than their personal accounts.

Infographic (in French): shadow AI, the invisible theft of your data

Three ways to do AI properly

LEVEL 1 · CORE OFFER

Copilot, inside the tools you already have

Already on Microsoft 365? Copilot puts AI straight into Outlook, Word, Excel and Teams. Your data stays in your tenant, covered by your existing Microsoft agreements. For most SMBs, it is the most natural entry point into AI.

As a Microsoft partner, Neatem takes care of everything: licences, deployment, data governance configuration (a misconfigured Copilot exposes your internal documents to every employee), and above all team training. A Copilot rolled out without support is a licence paid for nothing.

Our packaged offer: readiness audit → licences → pilot rollout with a first group → training → company-wide deployment.

LEVEL 2

ChatGPT, Claude, Mistral and the others, professional editions

The best AI on the market comes in professional editions: data not used for training, centralised account management, access control.

We help you pick the right tool for the right use, open the right accounts, and define what may go in and what must never go in. Your teams keep the power, you take back control.

LEVEL 3 · DIFFERENTIATOR

Your AI, on your premises: a local LLM on a GPU server

For data that must not leave under any circumstances: engineering firms, professional practices, healthcare, defence, R&D.

We size, sell and install AI servers fitted with GPUs, running open-source models locally. Your documents, your prompts, your results: nothing leaves your walls. Hosting available on your site or on our equipment in a French datacenter.

This is the level almost no local provider can deliver. We can.

3D illustration: open Neatem GPU server with GPU modules and monitoring screen

AI agents working for you

An assistant that answers is good. An agent that does is better.

Beyond off-the-shelf tools, we design custom AI agents, built around your needs and connected to your applications and your data. A few examples of what an agent can take on: sorting and qualifying incoming requests before a human handles them, preparing a quote from your catalogue and the client's history, summarising yesterday's tickets every morning and flagging anything unusual, drafting meeting minutes and sending them for approval.

Our method does not change: we start from your need, not from the technology. We identify the task that costs you time, build the agent, connect it to your systems, and above all we frame it: access rights limited to the strict minimum, logging of its actions, human validation for anything sensitive. An AI agent without guardrails is an intern handed the server keys: nobody does that.

And depending on how confidential your data is, the agent runs on a secured professional AI or directly on your local LLM, on your premises.

Identify what an agent could do for you

AI × Security

Two sides of the same coin

An AI policy without security is just paper. Security without an AI policy is a sieve. What we put in place together:

Audit of actual usage: who uses what, with which data (the result always surprises)
A clear, workable AI policy: what is allowed, with which tool, for which data
Secured professional accounts (Copilot, ChatGPT Team/Enterprise, Claude, Mistral: the French AI) replacing personal accounts
Technical enforcement: filtering, DLP, logging, matched to your requirements
Team awareness: short, concrete, no 80-slide PowerPoint

Where to start

The Neatem AI audit: 30 minutes, free, no strings attached.

Together we look at your current usage, your actual risks and the level of AI that makes sense for you. You leave with a clear picture, whether you work with us afterwards or not.

Book my AI audit

Questions fréquentes

What does an AI agent actually do?

Where a chatbot answers questions, an agent performs tasks: it reads, sorts, prepares, drafts and alerts, connected to your tools and within a defined frame. We size its scope together, and it never leaves the rails we set for it.

Is Copilot worth the price for an SMB?

It depends on how you use Microsoft 365. That is exactly what we assess during the audit: who would really benefit, on which tasks, for what return.

Is a local LLM as good as ChatGPT?

For many business uses (summarising, drafting, document analysis), today's open-source models are more than good enough. And they have one argument ChatGPT will never have: your data goes nowhere.

What budget for an AI server?

From a GPU workstation to a multi-GPU server in a datacenter, the range is wide. Sizing depends on the number of users and the target models. We quote after the audit, not before.

Can we just ban ChatGPT for our employees?

Technically yes; in practice they will work around it. The right approach: a professional tool better than their personal account, plus a clear policy. That is what we deploy.

Is our data used to train the models?

With free consumer accounts: often yes. With properly configured enterprise offers: no. With a local LLM: the question does not even arise.

Your teams already use AI. Put a frame around it before it costs you dearly.

Book my free AI audit

AI in your company. Without data leaks.