SwissAIPARTNERS
The Matterhorn above a green Alpine valley
SwissAI Partners

The AI Growth Engine for European Mid-Market Companies

Build AI value that compounds, together.

The gap

Smaller and mid-sized companies create half of Europe's value and use AI at half the rate of large firms.

In the EU and Switzerland, SMEs make up over 99% of enterprises and about two-thirds of employment. They are the backbone of the EU and Swiss economy, and most are still at the start of their AI journey. While many SMEs view AI as an opportunity, 79% say integration costs and budget constraints as a major barrier to adopting digital technologies.

51%

of EU business value added comes from SMEs. In Switzerland, about two-thirds.


Eurostat 2024; BFS/OFS

30% vs 55%

Share of medium-sized EU companies using AI, against large companies.


Eurostat 2025

65%

of Swiss SMEs are still testing AI or have not started.


AXA SME study 2026 (Sotomo)
What holds companies back
Skills

71% of EU SMEs that rejected AI cite lack of expertise.


SDAV/D4SME 2026
Unclear value

30% of euro area non-users see no clear use for their business.


ECB Economic Bulletin 2026
Legal and data risk

53% cite unclear legal consequences and 49% cite data protection.


SDAV/D4SME 2026
Data and integration

Swiss tech firms rate their data quality (36%) and data governance (34%) as insufficient.


ETH Zurich 2024

The result is AI run as scattered experiments, with no clear owner, priority or measure of value.

Sources: Eurostat 2024 and 2025; EC JRC Annual Report on European SMEs 2025/26; BFS/OFS; AXA SME study 2026 (Sotomo); ETH Zurich 2024; ECB Economic Bulletin 2026; SDAV/D4SME 2026.

Our solution

One accountable partner from AI priority to realised value.

Large companies close the AI gap with internal teams and Big Four programmes. SwissAI Partners delivers the same end-to-end capability at mid-market scale and price point, from the first assessment to P&L value.

How we deliver
Step 01

Prioritise by value


What we do

Select the few use cases that move margin, growth or risk.


You get

An AI Value Roadmap with quantified value hypotheses.

Step 02

Implement in processes


What we do

Redesign workflows and deploy AI into daily operations.


You get

Solutions running in daily operations.

Step 03

Measure


What we do

Track realised value in the P&L, use case by use case.


You get

Identified, implemented and realised value, reported against the baseline.

Governance at the centre
What we do

A decision gate at every stage, aligned with the EU AI Act and the Swiss nFADP.

You get

A decision record and controls for every use case, with accountability up to board level.

Our principles

Execution and results

Every use case enters execution with a defined value baseline and metric.

Swiss precision

Documented decisions, named owners and results measured to the same standard every time.

Governance by design

Controls are built in from day one, so AI stays accountable and auditable as it scales.

Independence

Technology-agnostic recommendations, chosen for your business, whichever vendor provides them.

Two hikers walking towards a snow-covered peak

"If you cannot stop it, you do not govern it."

Madalina Manoiu

We deliver this through three pillars, so you can start where your organisation needs it most.

Who we work with

Boards and executive teams of European mid-market companies.

We work with boards and executive teams who already see AI as a disruption to their business model, their competitors and their workforce. They recognise it as both a risk and an opportunity, and they are ready to act with clear governance and measurable goals.

A lone hiker below a glaciated peak, navy duotone
Boards

Form an informed view on AI opportunities, investment and risk, and know which questions to put to management.

Two hikers walking towards a snow-covered peak, navy duotone
Executive teams

Set AI priorities, fund the right use cases and build the capacity to deliver them across the business.

Mid-sized companies with 100 to 1,000 employees and €20m to €200m in annual revenue, typically PE-backed or family-owned. Many have outgrown SME status but still lack the AI teams and budgets of large corporations.

You will recognise your company if

AI pilots exist, but no portfolio of use cases is linked to business value.

Margin, growth or integration targets are on the leadership agenda.

Your processes are recurring and complex enough for AI to make a measurable difference.

The CEO and CFO are ready to sponsor implementation.

Private equity firms and family offices: see our AI Product Platform.

Discuss your AI priorities
About us

Built in Switzerland to make AI deliver measurable value for the mid-market.

Founded and based in Baar, Zug, Switzerland, SwissAI Partners operates across Europe and works with Swiss and European clients. We are independent of any technology vendor and hold ourselves accountable for results our clients can measure.

Supported by
Supported by Innosuisse, Scale-up Coaching
Our team
Madalina Manoiu, black and white portrait

Madalina Manoiu

Founder and Managing Director

Madalina brings 20 years of international leadership experience in business and digital transformation, corporate governance, strategy and finance. For more than 15 years she worked for international companies in highly regulated environments, including PwC, GE and SITA. She worked across four continents and led teams of more than 100 people.


Executive MBA, IMD | Board of Directors Program, University of St. Gallen | Generative AI for Digital Transformation, MIT Sloan

LinkedIn
Our expert network

Every engagement is led by SwissAI Partners. For execution, we draw on a network of subject-matter experts across functions and industries, selected for each use case and working with our pre-built AI agents.

Let's discuss what AI can deliver for your organisation.

Let's talk
Supported by
Supported by Innosuisse, Scale-up Coaching