How do you move from a few artificial intelligence trials to real use across the whole company? That is the question a practical guide published by the umbrella organisation digitalswitzerland and Implement Consulting (also referred to as Implement Group in the text) sets out to answer. The information below comes from the announcement published on 10 March 2026 by digitalswitzerland, co-publisher of the document: it is therefore the presentation given by one of its authors, not an independent assessment.
What the guide contains, according to the announcement
According to digitalswitzerland, the guide was developed in close collaboration with Implement Consulting, with a resolutely practical approach. Its stated aim is to help turn pilot projects into economically viable use cases. Rather than sticking to theory, it offers tools to apply directly: step-by-step instructions, prioritisation matrices and checklists for the key phases of the AI-driven transformation.
The document is built around four “success factors”:
- use cases: how to identify and scale those that create real added value, with examples from Swisscom and the Bern University of Applied Sciences (BFH), among others;
- AI governance: how to build a sustainable and responsible AI infrastructure;
- the human factor: how targeted training empowers employees and supports them through change;
- leadership: how managers with the right mindset and clear key performance indicators (KPIs) accelerate the transformation.
The announcement does not go into further detail about the content of these chapters or the examples cited. Nor does it state the length of the document or its terms of access, beyond the fact that it can be downloaded.
Who it is for
According to the announcement, the guide is aimed specifically at senior executives of Swiss companies, particularly SMEs. Frank Dannacher, of Implement Consulting’s Data & AI team, puts it this way (quote originally in English): “The guide was designed specifically for senior executives and is based on the concrete experiences of Swiss companies in introducing generative AI. Even though companies’ digital maturity varies widely, they often go through similar processes during implementation and face similar challenges.”
The source does not mention any section intended specifically for technical or IT teams.
The problem addressed: from pilot project to rollout
The announcement identifies the main obstacle the guide sets out to address: the shift from isolated pilot projects to a company-wide rollout.
It also sets out the Swiss context. According to digitalswitzerland, Switzerland is committed to the responsible and innovative use of AI, but by international comparison still lags somewhat behind countries with a comparable GDP in AI adoption. The announcement cites no figures or study in support of this observation. The guide is meant, again according to the announcement, to ensure that the Swiss economy does not merely talk about AI, but applies it safely and pragmatically in day-to-day work.
Andreas Meyer, president of digitalswitzerland, states (quote originally in English): “Artificial intelligence is significantly transforming our economy. What matters, however, is not the theoretical potential but its concrete application in companies’ day-to-day operations. This is precisely where the new guide comes in: it helps Swiss companies use AI systematically where it creates real added value.”
The link with Switzerland’s AI Action Plan
digitalswitzerland presents the guide as “an essential tool” of Switzerland’s AI Action Plan (“Switzerland's AI Action Plan”). The announcement does not specify what this plan covers, who leads it, or what formal role the guide plays in it. This connection therefore remains, for now, a claim by the publisher that the source does not allow to be verified further.
Availability
The guide can be downloaded via a page on the Implement Consulting Group website, linked in the announcement. An English version is announced as coming “soon”. The source does not say whether a French version is planned.
One possible reading: for an SME that has already tested generative AI tools without going further, the value of such a document would lie less in the technology than in the method it proposes for choosing and prioritising use cases. However, the announcement provides no feedback from companies that have used the guide, which makes it impossible, at this stage, to judge its practical usefulness.
