AI with value, not hype
There is a lot of noise and little clarity around AI. We separate the possible from the worthwhile and start where AI genuinely saves time or cost in your company. Not technology for its own sake, but results you feel in day-to-day operations.
Our services
AI strategy
We analyse your processes and develop a prioritised roadmap: where AI applies, in what order and with what expected benefit.
Workflow automation
Recurring, manual processes get automated, from document processing to customer enquiries and internal routine tasks.
Tool integration
We integrate language models and AI tools meaningfully into your existing systems, so instead of isolated gimmicks you get usable working aids.
- A quick pilot that makes the benefit visible before larger investment
- Training and support for your team so the solution lands in everyday work
- Data protection and Swiss compliance considered from the start
AI consulting for SMEs in Zurich
For most SMEs, AI does not start with a big strategy. It starts with one visible problem: an inbox nobody manages to sort properly anymore, a knowledge base nobody can find anything in, or a task that eats the same manual hours every week. That is where we start, rather than with a company-wide AI strategy nobody asked for yet.
Typical first projects for an SME in Zurich are automating a single workflow, for example pre-qualifying enquiries or generating quotes from templates, choosing the right AI tools for your existing systems, or building a searchable internal knowledge base so staff find answers themselves instead of asking around. We think about data protection from day one: wherever personal data is processed, we make sure it rests on a clean revDSG basis rather than checking that as an afterthought.
How an AI project runs
It starts with the free initial conversation: we listen to which processes cost time today and assess where AI can realistically help. From that comes a short analysis of your starting point: what data already exists, which systems are involved, and which use case offers the biggest, quickest visible benefit. Daniel Giebelhaus does this analysis personally.
Next comes a tightly bounded pilot project: a single use case, tested with a small group before it is extended. If the pilot shows the expected value, rollout follows into further areas, together with training for your team so the solution lands in everyday work instead of staying on paper.
What does AI consulting cost?
There is no list price, because the effort depends heavily on the use case. We work project-based with a fixed price, as a monthly retainer for ongoing support, or time-based by effort. The initial conversation is always free and no-obligation, and the actual proposal follows only afterwards.
What really drives the price of an AI project and how to recognise a credible proposal is covered in detail in the article What does AI consulting for SMEs cost?
AI in regulated industries: financial services and insurance
Banks, insurers and other supervised institutions face additional guardrails around AI. FINMA regulates in a technology-neutral way: existing requirements on governance, risk management and outsourcing also apply once a task is newly taken over by an AI system. On top of that comes the revDSG, wherever personal data is processed, for example in customer communication.
Sensible first use cases often sit in underwriting and customer service, where clearly bounded tasks tie up a lot of manual time, while the decision with legal weight stays with a person. More on the regulatory guardrails and concrete use cases is in the article AI consulting for financial services and insurers.
AI for your visibility too
AI changes not only internal processes but also how customers find you. With GEO and AEO we make sure AI answer engines like ChatGPT know and name your company.
Free consultation. Together we look at where AI creates the greatest, realistic value in your company and sketch the first steps. Free and no-obligation.