Frequently asked questions

The intro call takes 30 minutes and is free and non-binding — by phone, video or in person. You describe the problem and get an honest assessment of whether and how we can help. If it's a fit, you receive a fixed-price quote for the analysis. After each stage, you decide again whether to continue.

Not necessarily. Many organizations solve their actual problem with the earlier stages alone — clean data, connected systems, automated routine work. AI is only worth it when it solves a specific problem measurably better — assessed with a business case, not assumed.

Yes — at every stage, on request: on the analysis, the foundation, digitalization, automation or AI. The order stays the same, though: consulting never skips a stage to sell an AI project too early.

Five stages, always in this order. (1) Analysis: a clear, prioritized picture of what's actually happening in your data, processes and organization — no recommendation before the data has been looked at. (2) Foundation: clean data and custom software that matches your actual workflow, not a generic template. (3) Digitalization: systems that talk to each other instead of living in silos, including ARCOS PI or ARCOS Business PRO where relevant. (4) Automation: time back for work that actually needs a person, fewer manual handoffs and copy-paste errors. (5) AI: only once the business case is real. Consulting is available at every stage, not only at the end.

It starts with the free 30-minute intro call. The analysis follows as a fixed price quoted upfront and delivers a clear, prioritized picture — not a hundred slides. Foundation and digitalization are built and proven on your real data before you commit further. Automation comes with a measurable before/after. AI and ongoing advisory follow only if still warranted — ad hoc or monthly, your choice, never as a mandatory retainer.

Custom software is built for your processes and runs in your own infrastructure; the data stays yours. The goal is no vendor lock-in and no recurring SaaS surprises. Ownership and usage rights are set out in the respective quote; the ARCOS products are licensed.

Because that's where AI projects actually fail — rarely because of the model, almost always because the groundwork is missing: clean data, working systems, a real business case. The guide to choosing AI consulting in Switzerland summarizes the relevant studies.

Three things: does the provider start with your actual data and processes, or with a generic framework? Is the outcome a working system, or a slide deck and a phased roadmap? And where does your data run — on your own infrastructure, or in a system you don't control? At Quantix Systems: your data first, working software second, advisory only on top.

If you want to start with an AI workshop before anyone has looked at your data, probably not — that's not the model. If you want your organization analyzed first, the foundation built and what needs it digitalized and automated — and AI discussed only afterwards, if it's still relevant — yes. A free 30-minute call clarifies which one applies to you.

Most AI consulting starts with a strategy workshop before anyone has looked at the client's data. Quantix Systems works in a fixed order instead: analysis, foundation, digitalization, automation — including ARCOS PI or ARCOS Business PRO where relevant — and only then, if it's still warranted, AI. Consulting is available at every stage, on request.

ARCOS is the product line of Quantix Systems, with two on-premise products: ARCOS PI (arcospi.com) makes critical knowledge and key-person risks visible for leadership. ARCOS Business PRO (arcoshr.com) turns applications into a reasoned shortlist for placement agencies. Both can be used on their own or as part of the digitalization stage.

Yes. Software and the ARCOS products run on-premise in your own infrastructure, and AI models run locally. There is no dependency on external cloud providers — a solid basis for meeting the Swiss Data Protection Act (nDSG) and regulatory requirements in the financial sector.