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von Ellerts

Consulting · Projects · Enablement

I make companies AI-ready — in real projects, not on slides.

With digital nalu and digital opua, I support Swiss companies from analysis to independent execution: data-driven marketing, AI workflows and governance that hold up in day-to-day work.

01

Services

AI Workflows & Enablement

Building and rolling out AI-driven marketing and analytics workflows: creatives, copy, segments, analyses. Including training and coaching until the team works independently — usually within six months.

AI Governance

Policies, roles and processes for the responsible use of AI in marketing and communications teams — aligned with the Swiss Federal Act on Data Protection (FADP), GDPR and the EU AI Act.

Measurability & Marketing-Mix-Modeling

End-to-end measurement infrastructure (GA4, server-side GTM, BigQuery) through to Marketing-Mix-Modeling: budget decisions become fact-based, scenarios simulable, channel contributions visible.

02

Two companies, clear roles

digital nalu GmbH · since 2019

Boutique consultancy for data-driven marketing: analytics, programmatic and pragmatic AI solutions for Swiss brands.

digital-nalu.ch

digital opua GmbH · since 2022

AI products: Marketing-Mix-Modeling, RAG systems and infrastructure for Agentic Commerce.

digital-opua.ch

Selected projects for: Coop · Betty Bossi · Flughafen Zürich · Rivella · SOS-Kinderdorf · Hine Engineering

03

A documented result

References on consultants' websites are mostly logos without numbers. I can show one exception: for a fully programmatic campaign at Coop, Google produced a case study — with +93% unique reach over the previous campaign and 20% lower campaign costs. The figures are not my own: they are in Google's document.

Read the case study
04

Questions every company asks

These six questions come up in every project and every training session — usually in this order. The answers are the same ones I give in the room.

Does the EU AI Act apply to us as a Swiss company?
Switzerland has no AI act of its own along EU lines. What applies is existing law — the FADP, the Unfair Competition Act (UWG), the Code of Obligations (OR) and so on — all of it technology-neutral. The AI Act, however, has extraterritorial effect: as soon as your output or your customers are in the EU, its obligations apply to you. For Swiss SMEs doing business in the DACH region, the pragmatic answer is therefore usually this: working to AI Act standards means one standard for all markets instead of two sets of rules side by side.
Are we even allowed to use AI — what about data protection?
Yes, with rules. Personal data stays out or gets anonymised; for critical use, take an enterprise licence where data processing is governed by contract. Then it is compliant. The question is rarely whether you are allowed — it is whether your people know what is allowed.
Our people have been using ChatGPT privately for a long time. Should we ban it?
Ban it and they will do it in secret — and then company data leaves through private accounts without anyone knowing. The sentence I hear most often, translated from the German: “But our apprentice has ChatGPT on his phone anyway.” That is exactly why you need rules instead of a ban: approved tools, clear no-gos, a policy you can read in five minutes. Controlled use with guardrails beats uncontrolled use without them, every time.
Who owns the AI output?
Copyright protects human creation. Pure AI output without a human creative contribution is generally not protected in Switzerland or in the EU — you may use it, but you rarely hold exclusive rights to it. Your real risk lies on the other side anyway: third-party rights in the output, meaning trademarks, protected works, image rights. The practical rules are simple: edit the output substantially, check trademark and image rights, and never feed in someone else's protected works without asking.
Do we have to disclose when AI was involved?
Legally, in Switzerland: not as a general rule. Practically: with images always, with text at the latest when someone asks. When in doubt, declare it — transparency protects more than it costs.
Which AI tool should we buy?
The tool question is the last question, not the first. Four things belong before it: which use case are we solving, and which metric do we measure it against? Which data flows into it — and what does the FADP have to say about that? How does it integrate with existing systems? And who reviews and signs off? Once that stands, the choice of tool is usually trivial. To get started, five to ten licences of ChatGPT Plus or Claude Pro are enough; after three months you evaluate with real usage data instead of vendor promises.

On the legal points: that is the map, not the legal opinion. The binding answer for your specific case comes from your legal department — I tell you which questions you need to put to them.

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Describe your situation in three sentences — in a free intro call we'll work out whether and how I can help. If it's not an AI problem, I'll tell you.

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