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AI potential analysis for Swiss SMEs – 3D visualisation of an impact-effort matrix with use case cards

AI **Potential Analysis** – Your Entry into Productive AI

AI Workshop for Swiss SMEs

Discover which AI use cases deliver real value for your organisation, how significant the impact is, and which implementations are truly worth pursuing.

Why an AI Potential Analysis?

Clarity over buzzwords – AI that truly fits your business

Many companies feel the pressure to «do something with AI» — but where to start? The potential analysis clearly shows which concrete use cases deliver real value for your organisation and which implementations are truly worth pursuing.

  • Clarity on where AI can be productively deployed in your organisation today.
  • An overview of efficiency gains based on your specific use cases.
  • Identification of improvements that can be solved faster even without AI.
  • A prioritised roadmap: which use cases to tackle now, soon, or later.
  • Reduced risk through realistic assessment of data, acceptance, and effort.

Who is the Analysis for?

3D compass symbolising AI orientation for SMEs

SMEs with AI ambitions

You want to use AI but don't know where to start. The most efficient entry point gets identified for you.

Interlocking gears symbolising methodology and collaboration

Teams without AI expertise

No internal AI know-how required. Methodology and technology competence are brought to the table.

3D cube with data points symbolising a solid decision-making basis

Executive & department leadership

A solid decision-making basis for investments in artificial intelligence.

Rising bar chart symbolising efficiency gains

Efficiency-driven teams

Increase efficiency, reduce error rates, and automate repetitive tasks.

Magnifying glass with question mark symbolising critical scrutiny of AI value

Sceptics with open questions

You want to first assess whether AI genuinely adds value for your organisation.

How your AI Potential Analysis works

Preparation

People & Company Discovery

Discovery call and desk research into your business model, processes, USP, and company culture. This ensures the workshop runs as efficiently as possible.

Holographic company profile – preparatory analysis for the AI potential analysis
Half-day on-site

Structured AI Workshop

Across two sessions, time-wasters, cost drivers, and frustration points are identified together. Using the World Café method, concrete use cases emerge and get evaluated directly via Mentimeter: economic value, feasibility, data availability, risks, and employee acceptance.

Holographic sticky notes – interactive AI workshop with use case identification
Evaluation

Consolidation & Scoring

From the workshop results, an impact-effort matrix is built and all use cases prioritised using a weighted scoring model. Iteration and validation are included as needed.

Glowing impact-effort matrix – scoring and prioritisation of AI use cases
Results

Presentation & Recommendations

An overview of all use cases and assessments. The top 4 use cases with the greatest value, outline concepts for 1–2 solution approaches, and concrete next steps – presented in a virtual call.

Four glowing crystals – the top 4 use cases as the result of the potential analysis
Bonus

Value beyond AI

Optimisation opportunities that can be resolved faster or more cost-effectively without AI are also identified. Not everything requires artificial intelligence — sometimes a better process is the better solution.

Toolbox with glowing tools – optimisation opportunities beyond AI
Based on client experience and benchmarks

Possible Results from the Analysis

Document Processing

Up to 95% less manual effort in document and order processing through AI-powered automation.

Customer Communication

Up to 70% of customer interactions automatable – faster response times, consistent quality.

Text & Translations

Up to 90% more efficient for content creation and translations.

Visual Analysis

Pattern recognition in CAD/CAM or image data for automated quality inspections.

Data Analysis & Reporting

Automated reports and insights drawn from existing data sources.

Noevu vs. generic AI consulting

Generic consultant Noevu
Format Weeks to months, theoretical Half-day on-site, hands-on
Deliverables PowerPoint deck, generic recommendations Impact-effort matrix, top 4 use cases, outline concepts
Beyond AI
Digital experience Often strategy only 25 years web + AI
Implementation support Ends after the presentation From PoC through to finished MVP

Scope & Deliverables

Tailored to your starting point and goals

Included

  • Preparation (discovery call & desk research)
  • Half-day on-site workshop
  • Consolidation & weighted scoring
  • Impact-effort matrix
  • Results presentation (virtual)
  • Documentation of all use cases

Optional Add-ons

  • Deep-dive analysis of individual use cases
  • Concept development for technical implementation
  • End-to-end support through to a finished AI service (MVP)
More on AI implementation AI implementation

Ready for your AI advantage?

Discover where AI brings real value to your organisation — and where it doesn't. No sales pitch, just an honest assessment of where you stand.

Noel Bossart, Gründer von Noevu

Your enquiry for the Potential Analysis

Kontaktformular

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!

Reto GerberRrevival – Managing Director

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.

Benedikt VogelVogel Dental GmbH – Managing Director
Helpful tips and articles

Insights for your AI advantage

What works today — and makes the difference tomorrow. Strategies, tools, and insights on web design, AI integration, and SEO. For SMEs leading the way digitally.

Common Questions about the Potential Analysis

How long does the AI potential analysis take?

Typically 2–4 weeks: we start with a half-day on-site workshop, then consolidate the results and present the prioritised recommendations in a virtual call.

How many people should attend the workshop?

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 analysis is technology-neutral by design. We tailor the workshop to your team — from complete beginners to experienced digital teams.

What happens after the analysis?

We deliver 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 proof of concepts through to a finished AI integration.