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Read the articleArtificial intelligence for SMEs in French-speaking Switzerland
Artificial intelligence working for your teams.
AI advice and integration for SMEs in French-speaking Switzerland: Copilot, automation, training and data governance. Let's build a project suited to how you work.
SMEsat the heart of what we do
A dedicated contactwho knows your business
A local teamin French-speaking Switzerland
Technology that serves what matters.
Geneva
Lausanne
Fribourg
Neuchâtel
Valais
Your challenges
Useful applications, a clear framework.
AI can help your teams write, find information or handle a repetitive task. We start with how you work to identify a realistic first project, protect your data and check the results.
Business usefulness
A specific need before choosing a tool.
Data under control
Defined access permissions and usage rules.
Team adoption
Understood practices and human review.
Measurable value
Results compared with the time and budget invested.
Our services
From the first use case to everyday use.
We help SMEs in Geneva, Lausanne and French-speaking Switzerland integrate artificial intelligence. We define the scope with your teams, taking into account your tools, skills and the information that needs protection.
Explore our servicesAssessment and use cases
Identify repetitive tasks, useful information and constraints. Prioritise a project whose results can be evaluated.
Copilot and Microsoft 365
Explore Copilot use cases in your Microsoft 365 environment and check prerequisites, licences and access rights before a pilot.
Task automation
Prepare a draft, categorise requests or extract information from a document. Define the checks and approvals required.
Searching your documents
Organise a reference collection and explore an internal assistant that can find sources while respecting authorised access.
AI usage governance
Clarify approved tools, permitted data, responsibilities and retention conditions with the relevant people.
Training and support
Workshops based on your own use cases: write a request, check an answer, recognise a limitation and share good practice.
Our process
Four steps to a controlled AI project.
Starting with a limited scope lets you check the value of a use case before expanding it. Each stage ends with a decision made with your teams.
- 01
Define the scope
Define the need, data, responsible person and success criteria.
- 02
Test
Build a pilot using representative examples and limited access.
- 03
Support
Train users, document the rules and organise review of the results.
- 04
Evaluate
Measure quality, review time and costs before continuing or making adjustments.
The intended benefits
Benefits to validate in your own business.
A pilot should show what works and what still needs human input. We define indicators at the start: time spent on a task, answer quality, errors, adoption and usage costs.
Better use of time
by measuring the checking work still required
More accessible information
with organised documents and identifiable sources
Supported teams
with understood rules and limitations
Governed use cases
with defined access, responsibilities and checks
Use cases close to your business.
In a services business, AI can help prepare a report or find an internal procedure. In retail, a first project might focus on sorting requests. For an administrative team, it might involve extracting information from documents before checking it. These examples are starting points to explore: their relevance depends on your data and processes.
We favour an understandable use case, an identified owner and real examples to test it. The aim is to assess the tool's contribution, including the time needed to review, correct and maintain the solution.
- A limited scope and explicit success criteria
- A representative set of documents or requests
- Human review and a procedure for returning to normal operation
Prepare your data before deploying Copilot.
In Microsoft 365, Copilot draws in particular on information the user already has access to. Overly broad permissions therefore remain an issue to address before deployment. We review document organisation, shared spaces and access with your managers. Microsoft documentation explains how this works and the data protection commitments.
The project forms part of your IT governance and cybersecurity. Our Cloud and Microsoft 365 support helps prepare the collaboration environment. An IT audit can provide a starting point when the scope still needs clarification.
- Access permissions and document sharing reviewed
- Approved tools, data and responsibilities documented
- Results checked before use
Your questions about AI for business.
Where should an SME start with AI?
Choose a frequent, well-defined task: preparing a summary, finding a procedure or producing a first draft. Identify the documents needed, the time currently spent and the person who will check the result. A limited pilot lets you compare practical usefulness with costs and constraints.
Do we need to use Microsoft 365 already?
No. The choice depends on your environment and the need. If your teams use Microsoft 365, Copilot is one option to consider. Other tools or automation without AI may be more suitable. Licences, integration options and data processing rules are checked before any recommendation.
Can we use confidential data?
That depends on the chosen service, its contractual terms, settings and the type of data. We work with you to define what may be used and by whom. The pilot can start with anonymised or non-sensitive documents. Specific requirements are reviewed with the relevant people before expanding the scope.
How can we avoid incorrect answers?
A generated answer can be inaccurate even when it sounds convincing. Users must be able to consult sources, review the result and know when to ask a person. We test representative examples, including difficult cases, and plan a review before any action that affects your clients or business.
What budget should we allow for an AI project?
The budget depends on the use case, licences, integrations, data preparation and training. Scoping separates implementation from recurring costs: subscriptions, usage, maintenance and monitoring. Pilot arrangements are agreed before launch; no quantified gain is assumed.
Do you support SMEs throughout French-speaking Switzerland?
We prepare projects with businesses in Geneva, Lausanne, Fribourg, Neuchâtel, Sion and the surrounding areas. Workshops can be held remotely or on site depending on the project. A dedicated contact follows scoping, discussions with your teams and the next steps.
Articles and resources
Guidance to prepare your AI project.
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Let’s discuss your needs.
An initial conversation to understand your situation and decide on the next steps together.
Contact us
- Review of your environment
- Understanding your business challenges
- Guidance and recommendations
- No obligation