Many Swiss SMEs feel the pressure to «do something with artificial intelligence» — but the starting point stays unclear. The AI potential analysis shows in half a day which use cases bring real value, which ones come first, and where a good process is the better answer than a tool.
AI potential analysis & AI strategy for Swiss SMEs
AI potential analysis – your entry into productive AI use
Who the AI potential analysis is for
SMEs with AI ambitions
You want to use AI but don't know where to start — the analysis finds the most efficient entry point.
Teams without AI expertise
No internal AI know-how required. Methodology and technology competence come with the process.
Executive & department leadership
A solid decision basis for AI investments — credible enough for board-level scrutiny.
Efficiency-driven teams
You want to raise efficiency, cut error rates, and get repetitive tasks off your plate.
Sceptics with open questions
You want to first assess whether artificial intelligence genuinely adds value for your organisation.
Your AI potential analysis isn't standardised. The approach is.
Every AI potential analysis runs differently. What stays the same: a structured process from discovery to roadmap, designed for Swiss SMEs without in-house AI expertise.
Discovery call
Capture business model, processes and USP — so the workshop runs at maximum efficiency.
Half day on site
Structured workshop with your team — World Café method for time, money and frustration drains.
Use case mapping
Concrete use cases get evaluated directly via Mentimeter across five dimensions.
Weighted scoring
Economic value, feasibility, data availability, risks and team acceptance per use case.
Impact-effort matrix
Visual prioritisation — quick wins, strategic projects and «later» clearly separated.
Hand-drawn solution sketches
For the top use cases, one or two sketched solution approaches emerge as a discussion basis.
Results presentation
Virtual call with the top four use cases, their scoring, and concrete next steps.
Full documentation
All use cases, scores and recommendations — written, searchable, shareable with the board.
Method over buzzwords
An effective AI strategy for SMEs that want more
Generic AI strategy decks deliver general recommendations. What Swiss SMEs need is something different: a precise look at your own processes, an honest assessment of the data situation, and a plan that matches your team size.
The AI potential analysis also identifies what artificial intelligence isn't the right answer for — a better process, a clearer tool, a structuring step upstream. That saves investments that would otherwise flow in the wrong direction.
Based on client experience and benchmarks
Possible outcomes from the analysis
Document processing
Up to 95% less manual effort in document and order processing through AI-assisted automation.
Customer communication
Up to 70% of customer interactions automatable — faster response times, consistent quality.
Text & translation
Up to 90% more efficient in text creation and translation — with a consistent brand voice.
Noevu vs. generic AI strategy decks
| Generic strategy deck | Noevu AI potential analysis | |
|---|---|---|
| Format | Weeks to months, theoretical | Half day on site, practical |
| Deliverables | PowerPoint deck, general recommendations | Impact-effort matrix, top 4 use cases, hand-drawn sketches |
| Beyond AI | – | |
| Digital experience | Often pure strategy | 25 years of web + AI |
| Implementation support | Ends after the presentation | From first practical test to finished MVP |
Ready to find your AI use cases?
A no-obligation video call clarifies your starting point, scope and next steps in 30 minutes.
Real-world impact
What Swiss SMEs value in Noevu's AI potential analysis.
Clarity instead of buzzwords: after the AI potential analysis, teams know which use cases come first — and which ones sound attractive but would fail because of the data situation. The impact-effort matrix lives in the strategy folder and convinces sceptical boards too, because it rests on real hours and franc figures.
Especially valued: that the analysis also surfaces improvements that work entirely without artificial intelligence. That builds trust, because honest consulting becomes visible — and saves investments that would otherwise have flowed in the wrong direction.
Preparation
People & Company Discovery
Discovery call and desk research into your business model, processes, USP and company culture, so the AI potential analysis runs at maximum efficiency.
Half day on site
Structured use case session
Across two sessions, your team identifies the biggest time, money and frustration drains. Using the World Café method, concrete use cases emerge and get evaluated directly via Mentimeter: economic value, feasibility, data availability, risks, and employee acceptance.
Evaluation
Consolidation & Scoring
From the workshop results, an impact-effort matrix emerges with all use cases, prioritised via a weighted scoring model. Iteration and validation as needed.
Result
Presentation & Recommendations
An overview of all scored use cases, highlighting the top four with the greatest value — hand-drawn sketches for one or two solution approaches and concrete next steps, presented in a virtual call.
Bonus
Value beyond AI
The AI potential analysis also surfaces optimisation potential that can be resolved faster or more cost-effectively without artificial intelligence. Not everything needs AI — sometimes a better process is the better solution.
Your AI advantage starts here.
Half a day is enough to know where artificial intelligence brings real value in your company — and where it doesn't. No sales talk, just an honest assessment of where you stand.
Noevu combines innovation and precision, and helped us build a website that impresses not only with its quality but also with its ease of use. Absolutely recommended!
Thanks to Noevu's professional advice and support, the website project was implemented perfectly. The new homepage exceeds expectations and opens the doors to our work for clients.
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All articles Common questions about the AI potential analysis
What is the difference between AI potential analysis, AI strategy and AI roadmap?
The AI potential analysis is the structured entry point: discovery, half-day session and scoring within three weeks. The AI strategy is the resulting document: prioritised use cases, impact-effort matrix and top-4 recommendations with hand-drawn sketches. The AI roadmap translates the strategy into concrete next steps on a timeline. For ongoing support and implementation see AI consulting & integration. For training see AI training & AI course.
How long does the AI potential analysis take?
Typically 2–4 weeks: start with a half-day session on site, followed by consolidation of the results, finishing with a presentation of the prioritised recommendations in a virtual call.
How many people should attend?
Ideally 4–10 people from different areas of the business. The broader the perspectives, the more realistic the picture of your processes — and the more valuable the results.
Do we need prior AI knowledge?
No. The AI potential analysis is technology-neutral by design. The content gets tailored to your team — from complete beginners to experienced digital teams.
What happens after the AI potential analysis?
Clear, prioritised recommendations — tailored to your organisation, your processes, and your resources. Those who want to go further can take the next step directly: from first practical test through to a finished AI integration.
