Automating processes, creating clarity

No. Existing systems such as Excel, your CRM, email or accounting are integrated and connected wherever possible. The goal isn't to replace your familiar tools, but to reduce unnecessary manual transfers and broken media.

Recurring workflows between several systems are particularly well suited. Examples include syncing data between Excel, CRM and email, daily briefings, automatic quality checks, error notifications, and categorizing and further processing emails.

Recurring, digital workflows with a clear trigger and an expected outcome are particularly well suited. Examples include data transfers between Excel, email, CRM, ERP or accounting, automatic notifications, regular checks, and preparing reply drafts.

The more often a workflow occurs, the more manual transfers it requires, and the clearer its individual steps are, the more automation tends to pay off. During the intro call, we look together at whether your workflow is a good fit.

Not every workflow should be automated. Less suitable are tasks that occur only very rarely, run completely differently each time, or rely heavily on personal judgment and direct client contact.

Unclear or not-yet-standardized workflows shouldn't be automated right away either. In such cases, it makes more sense to first simplify and structure the workflow. After that, it can be checked whether individual steps can be automated with n8n.

The goal isn't to automate as much as possible. The goal is a solution that reliably delivers real value in daily use.

Yes. If your logic has proven itself over the years, it doesn't need to be replaced. The Excel file can be copied automatically, filled via an interface, and read back out after the calculation. Your trusted calculation stays intact and the process becomes more traceable.

No. AI is only used where it provides a genuine benefit to the process, for example understanding, sorting, summarizing or preparing information. Many workflows work more simply, more reliably and more traceably without AI.

Managed AI means AI applications are set up, configured and operated for you. You use AI in your daily work without having to worry about model selection, updates or technical setup yourself. What matters is that the solution fits your tasks and your data protection requirements.

An AI orchestrator is a platform that brings together and coordinates different AI models and tools in one central place. The team works with a unified interface instead of many separate tools. Access rights and usage can be managed centrally. headwAI is one example of such an orchestrator from the DACH region.

Instead of using many separate AI tools in parallel, the team works in one central place. New models or features can be added without everyone having to set something up themselves. Data protection and access rights are handled consistently. AI can be connected to existing workflows instead of existing as an isolated tool.

A simple process can often be automated within a few days.

Exactly how long implementation takes depends on the process, the systems involved and the quality of the existing data. This includes setting up the environment, connecting the systems involved, building the workflow, and the test phase.

More complex workflows are broken down into smaller steps. The next process is only tackled once the previous one is live and sufficiently tested.

At the start, I need your time to understand today's workflow. For that, we look together at the people, systems, data and work steps involved.

Depending on the process, the intro call and one or two further check-ins make sense. After that, the first process can be clearly scoped and implemented.

Your involvement stays manageable afterwards too: you give feedback, review the results, and decide together with me which process makes sense to tackle next.

We look at how often a workflow occurs, how much time it takes today, and how often errors or rework happen.

A proven Excel process serves as a benchmark: with four runs a day, around five minutes could be saved per run. That's roughly 100 minutes less manual effort per week. Avoided errors and less rework added around 30 more minutes in this example.

Altogether, that's a potential time saving of around two hours and ten minutes per week. Under these assumptions, the effort for a small first process would pay for itself within a few months. The actual impact depends on the specific process, its frequency and its error rate.

During the intro call, we check whether a similar estimate can be made for your workflow.

Yes. Every run is logged. Every single step can be reviewed and checked afterwards. The automation isn't a black box.

The solution is built to be documented and maintainable. Support and maintenance are provided on a clear engagement basis through Lavanchy Automation. Scope, response times and further conditions are agreed separately in each case.

That depends on your existing system landscape and the project's requirements. Data can stay with you or with a hosting provider in the EU or Switzerland. The concrete infrastructure is agreed together.

The technical implementation is aligned with data protection requirements from the start. This includes data minimization, access rights, hosting, logging and the choice of integrated services. For an independent legal assessment, an external data protection expert can be consulted.

For SMEs, freelancers and startups who want to simplify recurring tasks, connect existing systems, or integrate AI sensibly into their workflows.

In the first 30 minutes, we look together at a concrete workflow from your daily work.

We analyze the biggest pain points: where does manual work happen? Where does data get transferred more than once? Where do errors, delays or unnecessary rework occur?

I ask questions about how you work today, the systems involved and how often the workflow occurs. I then give a first assessment of whether automation with n8n could make sense and what the next step might look like.

The call is no-obligation and available in German, French or English.