AI Automation
I offer AI automation as a standalone service or as an add-on to running ERP and compliance projects. This is not about AI strategy decks; it is about concrete automations that work with today’s tools. Before anything is built, we calculate whether the case pays off; sometimes the answer is no, and that is a result too.
I use these tools myself before recommending them: most recently as product owner and developer of the parking app myPlace Parking (Frankfurt-Hahn Airport), built AI-assisted from requirements to deployment.
A practical example: a finance team spends two to three days a month producing reports. Automated, data retrieval, calculation and distribution run on their own; setup takes two to three days, running costs are around €100–300 per month, and the investment pays for itself after roughly two months.
The conceptual part of an AI or automation engagement (analysis, concept, recommendation) can be publicly funded, subject to approval in the individual case: funding-eligible consulting (page in German).
What this covers
- Text-based routine work →Emails, standard texts, minutes, summaries; these often absorb 20–30 % of working time.
- Data processing →Read documents and emails, extract core data and transfer it into your systems automatically, for example invoices straight into the accounting software.
- Reporting & dashboardsManagement reports and dashboards with Power BI, SQL and the Projectile query manager: data retrieval, calculation and distribution automated.
- First contact & simple requests →A chatbot answers frequent questions and collects information; only difficult cases go to a human.
- Limits firstWhat AI cannot do, I say up front: make decisions, process unclear rules, solve real customer problems.
How it works
- Identify time sinks: recurring, time-consuming, rule-based
- Choose the solution: from Excel macro to no-code platform, judged by cost, integration, security, maintainability
- Build and test with real data, step by step
- Training and handover: your team understands and maintains the automation itself
The next step costs nothing.
30 to 60 minutes, no strings attached: where is the biggest friction, what is the most effective lever, and is a collaboration a fit?