Quick contact
AI Sovereignty · PG Management

Your own enterprise AI. Compartmented, sovereign, operational.

An AI base connected to your tools, which keeps your data, your context and your methods in your space – not in those of OpenAI, Meta or Baidu.

In brief

Most SMEs use ChatGPT, Copilot or Gemini in public version to go quickly. Practical for testing, but each prompt potentially feeds the training models of large American or Chinese groups. A dedicated PGM AI keeps your business context, your customer data and your internal logic within a scope that you control — hosting in Switzerland or dedicated server as needed.

Why dedicated AI changes everything

01 — Real partitioning

Your data does not travel

Your data, your instructions and your executions remain in your environment. Neither reused to train public models, nor exposed to uncontrolled third-party services. The partitioning is technical and contractual, with a documented perimeter and supervised conservation.

02 — Work in your software

AI comes to your tools, not the other way around

Your agents operate in Bexio, Abacus, your CRM and your messaging, with or without API depending on the context. You avoid manual exports and forced migrations. Your teams keep their bearings and adoption remains pragmatic.

03 — Continuous capitalization

Your AI becomes an asset

Your AI maintains your business logic: quotes, sales tone, internal rules and customer exceptions. It improves on your actual uses. Knowledge becomes a lasting operational asset, instead of remaining scattered in people's heads.

Generic public AI vs dedicated PGM AI

ChatGPT, Copilot, Gemini in general public version

Practical for testing, not designed to protect a real business context.

  • No real framework dedicated to your business
  • Fewer guarantees on data compartmentalization
  • More public uses and less controlled by management
  • Difficult to sustainably anchor your processes and know-how there
  • Your prompts can power global model training
  • No strong control over processing jurisdiction

AI designed for your business

Thought by design to keep your context, your data and your business logic.

  • A private environment dedicated to your business
  • AI employees who work in your existing software
  • Compartmented data and structured supervision
  • A sustainable basis for deploying your AI roles over time
  • 100% Swiss accommodation option
  • Isolated dedicated server option depending on sensitivity

Two options depending on your sensitivity level

Option A — AI hosted in Switzerland

Infrastructure in certified Swiss data centers (ISO 27001, LPD compliance). Your data remains under Swiss jurisdiction, protected by Swiss law. Models are selected for their compatibility with this hosting, including high-performance European alternatives. Rapid deployment, controlled cost, level of security adapted to trustees, agencies, firms and standard SMEs.

Learn more about AI hosted in Switzerland

Option B — AI partitioned on dedicated server

Dedicated server at your home or in a data center that you designate. No sharing of infrastructure with other customers. Ideal for contexts with reinforced professional secrecy. Higher cost, but total control: access cutoff, infrastructure audit and explicit choice of models in production.

Discuss a dedicated server project

Concrete risk — real cases we see

A Valais trustee discusses tax declarations in a public chat. A management company pastes lease data into a generic assistant to speed up its mailings. A medical practice outsources transcriptions to an AI service under jurisdiction not aligned with local requirements. In all three cases, the manager thinks he is saving time. In reality, he transfers legal and reputational risk to his company. The problem is not AI per se, it is the lack of perimeter, governance and silos.

Our implementation method

  1. Sovereignty audit — mapping of current AI uses, identification of data leaks, classification of risks.
  2. Choice of architecture — Swiss hosted AI vs dedicated server depending on regulatory and business constraints.
  3. Siled deployment — connection to your tools, team training, human safeguards.
  4. Sustainable exploitation — logging, supervision, continuous improvement.

FAQs

Why does it matter if my data goes to the USA or China?

For an SME subject to the LPD and sometimes professional secrecy, the exposure of sensitive data outside Switzerland can create a legal and contractual risk. The American Cloud Act may also impose access to certain data via operators subject to US law.

Concretely, what goes away when I use ChatGPT free?

Your prompts, attachments and conversations go to the service editor. Depending on the offering and settings, this data may be retained for model improvement. Enterprise versions reduce this risk but do not eliminate jurisdictional issues.

Is dedicated AI less efficient?

No, not on the majority of business tasks. Well-configured private models deliver comparable results, with better alignment to your real-world context.

What is the order of magnitude of the cost?

A Swiss hosted AI often starts at a few hundred CHF per month. A dedicated server costs between 1,500 and 3,000 CHF/month. See also our AI project cost guide.

Is it compatible with my existing tools?

Yes. We connect dedicated AI to your stack (Bexio, Abacus, Outlook, CRM), via API or alternative connectors when necessary.

How long to deploy?

Generally 2 to 4 weeks for a first scope in standard Swiss architecture, and 6 to 10 weeks for a dedicated server architecture.

Sovereignty

Your AI, your data, your sovereignty. The right reflex begins with a diagnosis — not with a product demo.