35% of Swiss SMEs already integrate AI into their processes.
A third of the SMEs surveyed have moved beyond testing to integrate it in a targeted way.
Source: AXA / Sotomo, 2026
AI Consultancy & Integration · French-speaking Switzerland
Technology adapts to your needs, never the other way round
We support SMEs with their questions about AI, from the business diagnostic to deployment. Our approach starts from your real processes and your teams’ know-how to eliminate time-consuming tasks and make your operations more reliable.
Scoping the right technical choices, measuring the return on investment and supporting your employees as their work evolves.
Request an initial conversation (30 min)
Free and without obligation · Or assess your priorities in 4 questions
Fig. 01 · Our analytical framework
Understanding where you lose time, and how to get it back.
Before talking about AI, we examine your business through four layers: your trades, your tools, your bottlenecks and your teams.
01 / The trades
Identifying your strengths.
We start from real practices and your teams’ hands-on experience.
02 / The current set-up
Mapping your tools and your flows.
We analyse how information circulates, your current software and the AI uses already in place.
03 / The friction points
Targeting lost time and bottlenecks.
Re-keying, scattered information, delays: we link each friction point to its real cost for the business.
04 / The links
Integrating AI without weighing down daily work.
The solution adapts to your methods: your teams keep control of the decisions that require their expertise.
From the field to impact
Unify. Simplify.
We bring these four layers together to simplify the flow of information and reduce friction.
01 / Why act now
AI adoption in Swiss SMEs: where do you stand?
Re-keyed quotes, searching for information in e-mails, administrative files running late: the point is not to pile up tools, but to target measurable gains.
39% are experimenting without a structured framework.
Moving from individual trials to a team gain requires defining where and how AI brings genuine reliability.
Source: AXA / Sotomo, 2026
+15% average productivity in handling requests.
Gain observed after integrating a business-specific AI assistant for 5,172 employees.
Source: Quarterly Journal of Economics, 2025
These figures shed light on the context. Your result is measured in your own business.Sources and scope +
35% and 39% · AXA / Sotomo, 2026: online survey from 11 to 18 March 2026 of 336 Swiss SMEs with 5 to 250 employees, weighted by size and sector. These statements do not measure the return achieved.
+15% · Brynjolfsson, Li and Raymond, 2025: “Generative AI at Work”, The Quarterly Journal of Economics. Gradual roll-out of an assistant to 5,172 support agents in a single company. This result does not predict the gain for an SME.
Scoping matters · RAND, 2024: interviews with 65 specialists; a poorly understood problem, insufficient data and unsuitable infrastructure are among the causes of failure of AI projects.
ReportSee the details of the studies and their scope on our Sources page
02 / Our support method
Integrating AI step by step, with your teams.
No major upheaval and no blind commitment. We start from a concrete priority, test in real conditions with your employees, and only deploy what proves its worth.
Scoping priorities and potential gains
On-site observation with management and teams to target the priority problem (re-keying, delays, administrative workload). We define the scope, the business rules and measurable success criteria.
Testing on a real case
Rapid build of a prototype tested by the employees concerned. Together we assess reliability, running costs and the real time saved before any decision to deploy.
Deploying in your tools and training teams
Technical integration into your IT environment, with support for the people involved. We train your employees so that they master the tool while valuing their professional judgement.
Measuring results and ensuring autonomy
Post-deployment monitoring of indicators (time saved, quality, adoption). We hand over the documentation and access rights so that your SME remains 100% autonomous.
03 / Your contacts in French-speaking Switzerland
Combining organisational management and AI research.
You work directly with the two co-founders. We bring together scientific expertise, software engineering and change management.
Hugues Ruault du Plessis
Co-founder · Operations transformation, behavioural science & applied AI
After eight years leading large-scale programmes at Nestlé (EMENA) and at European level, Hugues designs workflows run by AI agents under human supervision. With 9 scientific publications on behaviour change, he ensures that each solution serves your strategy and is fully adopted on the ground.
Dr Frédéric Delaunay
Co-founder · PhD in artificial intelligence (AI), software engineering & SME entrepreneurship
With a doctorate (PhD) in artificial intelligence, a background as a software engineer and a patent in social robotics, Frédéric has co-founded four companies. He knows the reality of SMEs (tight budgets, multi-skilled teams) and designs robust, secure AI architectures that are ready for production use.
Frequently asked questions (FAQ)
Everything to know before launching an AI project in an SME.
No. Our diagnostic starts from your day-to-day activity and your friction points (lost time, re-keying, bottlenecks). We first identify the problem to solve, then determine whether AI – or a simple automation between your existing software – is the most cost-effective answer.
Yes. We audit your IT environment from the outset. Our solutions integrate with your existing tools to avoid multiplying interfaces and double data entry.
Through strict scoping from day one. The data used, access rights, the choice of providers and the hosting location (in Switzerland or in Europe, in line with the nFADP) are defined and approved with you before any development.
By comparing an initial measurement with the actual results. Before testing, we set precise indicators: hours spent, error rates, processing times. At the end of the pilot test, we weigh these gains against integration and licence costs.
Through transparency and involvement from the design stage. We help management clarify the objectives, involve teams in testing the prototype and provide their training. AI handles the repetitive tasks; your teams keep the decisions that require their know-how.
Contact
Let’s talk about what you want to improve.
An initial 30-minute conversation to understand your priorities, the constraints of your business and the questions AI raises for your teams. Without obligation.