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Lambert Consulting

Artificial Intelligence: A Cross-Functional Offering

Results first. Infrastructure second.

An assistant for your documents, end-of-line verification, a platform for multiple services. Where artificial intelligence is applied is determined by your data, not by a catalog.

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4Comparing Architectures, Criterion by Criterion
2 fieldsSoftware and hardware under one roof
All Use CasesUse cases first, technology last

Our first department

This is what needs to work every morning.

Your servers, your workstations, your phone systems, and your identities. The foundation that no one notices as long as it holds, but that everyone notices the day it fails.

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Multi-siteNational and international projects
3Branches in French-speaking Switzerland
View our client projectsCase Studies and References
Let us know how you're doingGetting a quote is free

How We Work

A piece of advice, not a sales pitch.

Our approach is consultative: we tell you what we think, even when it’s not in our best interest. That’s what makes projects succeed.

About Us
1995First project, using Microsoft SMS
Family-orientedOn a human scale and sustainable

Our Branches

Vaud, headquarters9 Avenue des Baumettes, 1020 Renens+41 21 806 37 15
Valais134 Oscar-Bider Street, 1950 Sion+41 27 552 00 22
FribourgChemin de Montmoirin 18a, 1618 Châtel-Saint-Denis+41 26 322 59 05
Monday through Friday8:00 a.m. – 6:00 p.m.
Contact UsFirst 30-minute consultation, with no obligation
A team at work around a table, with their computers open

Artificial Intelligence / Use Cases

All use cases for artificial intelligence, categorized by problem

Save time, leverage knowledge, automate processes, provide better service, support technical teams, and observe the physical world.

Each use case is written as a project: the real-world situation, what the solution does, a concrete example, the human element, the data, where it works, integration, infrastructure (if necessary), and limitations. Use cases marked “coming soon” are written as projects progress —we don’t create a page for every title.

Seven Categories of Problems You start with what you want to improve, never with a technology.
Four Possible Architectures per Case Each chart indicates which way the case might go and which architecture we would examine first.
"What remains human," he writes No case offers certainty. Each one highlights the decisions that a human retains.

What would you like to improve?

Choose a family to view only its use cases, or browse all seven. A single use case may belong to two families: the private RAG leverages knowledge and runs artificial intelligence locally.

Save time

The hours spent on tasks that don't create anything: summarizing, researching, copying, and preparing a response. The first benefit—and often the one you notice the fastest.

Automate processes

Documents, emails, forms, approvals: what is entered manually today is retrieved and reviewed tomorrow, with a human involved where the decision matters.

Supporting Technical Teams

Code, infrastructure, documentation, modernization. Cases where code confidentiality often dictates the architecture.

Coming Soon

Private Development Assistant

A code sample that runs on your graphics processors, for source code that must not be released.

On-premisesHybrid
Coming Soon

IT Support Assistant

Repeated requests from service desk handled by an agent, with a note indicating that the matter was escalated to a human representative.

Online
Modernization

Modernizing a Legacy Application

How artificial intelligence is changing the way we read a code that no one knows anymore—and what it isn't changing on the calendar.

OnlineOn-premises

Observing the Physical World

Images, videos, cameras, machines, sensors. We handle the platform, integration, and on-site infrastructure; optics and computer vision algorithms are handled by a specialist when necessary.

Coming Soon

Camera-Based Quality Control

Once a defective part is detected on the line—whether it is blocked or flagged—the incident is reported toERP and the manager at Teams.

EdgeHybrid
Coming Soon

Equipment Monitoring and Anomaly Detection

On-site sensors and preprocessing, historical data and models at the center, alerts before a shutdown.

HybridEdge
Architecture

Edge AI: Where Data Is Generated

The two reasons why on-site processing is necessary, the six locations, and what “offline” means, word for word.

Edge

Leveraging Artificial Intelligence Locally

Cases that require—or would greatly benefit from—execution on your premises or on-site. The message is never “buy a server”; it’s “this case requires on-premises infrastructure, and we’ll design the infrastructure to support it.”

What each use case tells you, in the same order

Twelve answers—always the same ones—so that two cases can be compared. And none of them offers any certainty.

The ProblemA real-life situation, not something straight out of a brochure.
What the solution doesThe result, in plain language.
A concrete exampleA six- to eight-step scenario, showing what triggers what.
What Remains HumanApprovals and decisions that cannot be delegated.
The data usedThe sources, the quality standards required, and what is often missing.
Where artificial intelligence worksAt Microsoft, at your location, in a hybrid model, on-site—and which one we would explore first.
Why this architecture?The two or three factors that tipped the scales in this case.
Integration into the existing structureTeams, SharePoint, Dynamics 365,ERP, industrial systems.
Infrastructure, if necessaryIt is only here that the equipment appears, when the situation calls for it.
How We Carry Out the ProjectAssessment, architecture, prototyping, validation, industrialization, and deployment.
Scope and LimitationsHallucinations, data quality, rights, costs, expected performance.
The Next StepDiscuss your use case or assess its feasibility.

Let's talk about your use case

Can't find the one you're looking for? Describe it.

The library is built as projects unfold. If your situation isn’t listed here, let us know what you’d like to improve, where your data is stored, and what information must not be disclosed: we’ll get back to you with the use case we’d address, the architecture, and the scope.

What we offer is the opportunity to meet the engineers who will do the work. Identifying and defining the scope of the project are part of the process. The discussion that precedes this, however, costs nothing.

Three branches in French-speaking Switzerland

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