Publications

AI automation, no-code versus engineering: a short row of simple modular bricks extends to the right into a deeply braced load-bearing span built from the same bricks, on a deep violet background.

AI automation: how far does no-code go, where does engineering begin?

Are n8n, Zapier or Make enough to automate with AI? Where no-code stops, where engineering begins (agents, RAG, orchestration), and how to choose for a reliable result in production.

40%of agentic AI projects will be abandoned by the end of 2027, for lack of clear value or robustness

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AI and data security in Switzerland: data protected inside a secure perimeter against an alpine landscape, symbolizing data sovereignty.

AI and data security in Switzerland: where does your data go, and how do you stay in control?

Where does your data go when you use AI? nLPD, CLOUD Act, consumer vs enterprise versions, and sovereign deployment levels: the clear guide for a Swiss SME that wants to stay in control.

⅓only one Swiss SME in three has defined clear rules on the data entrusted to AI

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AI for SMEs and where to start: a glowing doorway symbolizing a small business taking its first step into artificial intelligence.

AI for SMEs: where to start, concretely?

AI in SMEs is advancing fast, but a gap is widening with large companies. Figures (OECD, Eurostat, Switzerland), real barriers, and a concrete method to start without missteps.

34%of Swiss SMEs integrate AI into their processes in 2025 (versus 22% in 2024)

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Illustration of enterprise RAG: internal company documents feed an AI model that produces a sourced, verifiable answer.

RAG in the enterprise: how to make AI answer from your own data

Enterprise RAG anchors AI in your internal data. Definition, concrete figures from large group to SME, costs (official DGE figures), and a deployment method.

2ndmost-used enterprise AI technique, after prompt design

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