The questions that come before a good project.

It begins with a no-obligation intro call: we look at a real process in your operation and tell you honestly whether and where automation is worthwhile. If it fits, we outline a first, clearly scoped use case — usually a single process with a result you can quickly rely on. Then our methodology follows: Discover, Build, Test, Rollout, Operate. We don't build into the blue; we build against a case whose value we quantify beforehand.

That depends on scope. A clearly scoped, single process can be in production within a few weeks — the fastest path to a first dependable result. Larger undertakings we deliberately break down into such steps, rather than building at the grand design for months. That way you see early whether the path is right, and you don't carry the risk of a project that only delivers at the very end.

An automation isn't finished at go-live. We operate, monitor and keep training the systems so the result stays measurable; if something runs out of line, we see it in the audit log before it becomes a problem. Through the portal you keep insight at all times into what your systems are doing. How much operation we take on we define together — up to a straight handover to your team.

Your application and customer data are processed and stored in Google Cloud in the europe-west6 (Zurich) region; operations follow the revised Swiss Federal Act on Data Protection (revDSG/FADP). Transfer and storage are encrypted, access is protected with multi-factor authentication, and rights are granted on the least-privilege principle. For us, data protection is a design decision, not an afterthought bolted on later — the details are on our security page.

As a rule, yes. Automation usually arises precisely at the interfaces between the systems you already use — where today someone carries data by hand from A to B. Rather than replacing everything, we connect what's already there and close the manual gaps in between. Which systems make sense to connect we clarify early; if an integration brings more effort than benefit, we say so.

Through two mechanisms that work together. First, human-in-the-loop gates: before an automation does anything consequential — posting, sending, releasing — it requests a human approval. The system proposes, the human decides. Second, a gapless audit log: every relevant operation stays traceable — which process, when, with what result, who approved it. AI takes work off your plate, not control.

Clarity, without obligation. Together we look at a real process and tell you honestly whether automation is worthwhile for it — even if the answer is no. You leave with a dependable assessment, not a sales promise. The call costs you nothing but a little time.

It's worthwhile where a process happens regularly, recurrently and by comprehensible rules — and today costs time or nerves. It's less worthwhile when a process occurs rarely, runs differently every time, or relies heavily on gut decisions. If a process is better done by hand, we say so honestly. What doesn't pay off, we don't recommend — that's a stance, not an exception.

Every automation gets a metric. If the value can't be shown, it isn't a solution, just technology. Depending on the case, that's hours saved, fewer errors, shorter turnaround times or more reliable forecasts. We set this measure beforehand, so that in the end there's no question left about whether the whole thing was worth it.

Because someone else's logos on the wall say little. Our proof is closer to hand: this website, the client portal and the operation behind them are our own work — you are using them right now. We automated our own operation first, then built for clients. The best evidence of our capability is what's already running, not a collection of names.

That depends on scope — on the number and complexity of the processes, on the degree of integration, and on how much operation you hand over to us. A serious figure can't be named across the board without knowing the case; that would be dishonest toward you. In the intro call we look at your specific case and situate the effort and expected benefit — as the basis for a well-founded decision.