Artificial Intelligence
Artificial Intelligence Solutions for Businesses
You buy a result. We then decide where the artificial intelligence runs.An assistant that responds to your documents, an email system that sorts itself, end-to-end control, and a private platform shared by multiple departments. We start with what you want to achieve, then decide—at Microsoft, on your premises, in a hybrid setup, or right next to the machine—based on your data, your deadlines, and your requirements. Not based on a catalog.
What would you like to improve?
No one is looking for “artificial intelligence.” People are looking to streamline a process, stop re-entering invoices, and respond to customers before they call back. Recognize your phrase: it leads to the page that addresses your situation—and to the architecture that goes with it.
Three questions, three page categories
What you want to achieve, where artificial intelligence needs to be applied, and how that need is turned into a working system. These three factors are decided in that order —and technology comes last.
Use Cases
A library organized by problem: saving time, leveraging knowledge, automating a process, improving customer service, supporting technical teams, observing the physical world. Each case describes what it does, what remains a human task, and where it might go wrong.
See all use cases B · Where and how it worksArchitectures
At Microsoft, on-premises, in a hybrid environment, or right next to the machine. The factors that tip the scales—data, volume, latency, connectivity, cost, requirements—and a seven-question survey that provides an indicative answer, even when the answer is not to build anything.
Compare the four architectures C · Design and ManufactureYour Project
From the initial “ assessment ” to day-to-day operations: defining the scope, assessing data quality, prototyping with your actual data, validating with users, scaling up, and monitoring. With deliverables that you retain at every stage.
How We Manage a ProjectAs a matter of principle, we do not recommend hosting with Microsoft or on-premises hosting
A single use case can be implemented in four different ways. It’s your data, your deadlines, and your requirements that determine the best approach—not what we know how to sell: we present all four options, and that’s what allows us to advise you on your specific challenges.
At Microsoft
Data and inference are processed in the appropriate Microsoft services: Microsoft 365, Copilot, Azure. The fastest to set up when the data is already there.
At your facility
The model, documents, and calculations run on your datacenter. Nothing is sent out. This architecture also requires the most maintenance.
Partly at Microsoft, partly at your office
Identity, " Teams ," and the interface at Microsoft; sensitive data, document search, or inference on your premises. The most common scenario in practice.
Next to the machine
Processing takes place near the camera, sensor, or production line: in a factory, warehouse, store, or remote location. Decisions are made on-site, with or without a connection.
What kind of architecture is right for your project?
Seven questions, a suggested answer, and the advantages and limitations of each option—including the answer, “Copilot included in your licenses is enough; you don’t need an infrastructure project.”
From the business requirement to the machine that executes it
An artificial intelligence project involves nine layers, and it most often fails at one of the junctions: between the data and the model, between the application and the information system, or between the prototype and production. We cover all nine because we have expertise in both areas.
This is the only place where the names appear — Microsoft Solutions Partner on one side, Dell Technologies Gold Partner on the other. What this means for you: a single point of contact when a use case requires both an agent in Teams and a server with graphics processors in your data center. And advice that isn’t influenced by what’s left to sell: we know how to build all four architectures; a service provider who can only build one will always claim that yours is the right choice.
Six use cases, written as projects
Each page follows the same structure: the real-life situation, what the solution does, a concrete example, the human element, the data, where it works, integration, infrastructure (if necessary), and limitations . None of them promise certainty.
Privately Housed Business Assistant
A chatbot that only reads your documents, and whose model can remain on your premises.
Assistants and AcquaintancesAssistant for Company Documents
Find the correct procedure at SharePoint and Teams, including the source code and the rights clearance process that comes first.
As Close as Possible to Your DataPrivate RAG
Search a confidential corpus using a model that runs on your premises, since public services are not an option.
Documents and AutomationIntelligent Document Processing
Invoices, contracts, and forms are extracted, verified, and forwarded toERP or Dynamics 365 without the need for re-entry.
Documents and AutomationAutomated Email Processing
A shared inbox that sorts messages, drafts replies, and opens files in the right location.
Customer serviceCustomer Service and Contact Center
The agent received assistance during the call; the simple request was handled immediately; and the conversation was summarized and logged.
All use cases, organized by problem
These six use cases, and those that emerge as projects progress: private development assistant, local voice and transcription, camera-based quality control, equipment monitoring, and sites without internet connectivity.
What We've Done So Far
Three published projects, presented exactly as they are. No figures that we couldn't show you.
A web CRM :Dynamics 365 , featuring help, ratings, and recommendations
Centralized customer data, support requests that are automatically categorized and routed, and Copilot and Power Platform for sales and support teams.
Read the project Contact CenterTelephony Connected to Dynamics 365 Contact Center
The voice connected to the platform that hosts the virtual agent, the agent assistant, and the conversation summary.
Read the project Connected Devices · 2020A standalone controller, with or without an Internet connection
A device controlled locally by a small computer, with telemetry sent to Azure IoT Central when a connection is available. This isn’t an artificial intelligence project—it’s the principle of on-site processing.
Read the projectWhat Our Experts Write
This blog addresses the questions you might have before calling us. Here are three articles to read first.
What Really Protects Your Strategic Data From Public Models
What a public service does with your requests, what a Microsoft tenant guarantees, and when only the on-premises environment responds.
Read the article ObligationsGDPR, the AI Act, and Sovereignty: Choosing the Right Issue
The question isn't "where is the server?" but "who can access what, and who is responsible for it?"
Read the article GovernanceManaging Agents as Digital Collaborators
A scope of responsibility, authority, a moment when the agent hands over control, and someone who supervises them.
Read the articleWhat We'll Tell You Before We Begin
Four things that no artificial intelligence project can avoid—and that we’d rather address here than have to bring up at the steering committee meeting.
It responds with the composure of a computer program, even when it’s wrong. Each use case specifies what a human validates and what they do not delegate.
An assistant working with disorganized documents will give the wrong answer. Organization and access rights are part of the project—often half of it.
Artificial intelligence features are billed: per query, per page, per minute. We calculate the cost beforehand, and someone reviews the bill afterward.
He pays for storage, fees, and training. The third one, on the same stand, is free. So we choose the first one because of what it offers.
Let's talk about your use case
Describe your situation, and we'll tell you where to start.
What you’d like to improve, where your data is located, and what must not be disclosed. With these three elements, we’ll come back with the use case we’d address first, the architecture we’d propose, and a written scope of work.
What we offer is the opportunity to meet the engineers who will do the work. Assessment, prototyping, and industrialization are all part of the project. The initial discussion, however, costs nothing and is often enough to determine whether a project is viable.
Renens, Sion, Châtel-Saint-Denis
Microsoft Solutions Partner and Dell Technologies Gold Partner. Software, design, branding, and infrastructure—all from a single point of contact.
Renens VD +41 21 806 37 15
Sion VS +41 27 552 00 22
Châtel-Saint-Denis FR +41 26 322 59 05