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.
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?