From spreadsheets, scripts and apps to engineering software · Manufacturing & Automotive
Your engineers have long been building their own software, more and more often with AI. I build the platform where these tools run reliably, connect to your systems and are available to everyone.
Where things stand
Design calculators, analysis scripts, configurators: every R&D department builds its own solutions, and with AI faster than ever. Yet most of them end up in a spreadsheet or on a single computer.
Part of it runs in Power Automate, part of it as a Python script on a laptop, and results land as files in SharePoint. There is no shared codebase and no defined development process. Only one person knows how it all fits together, and no one else can contribute.
Processes exchange data through file shares and manual handoffs instead of clean interfaces. That doesn't scale, doesn't produce a reliable data foundation and can't be monitored. When something goes wrong, no one notices.
AI agents run processes through interfaces: they call calculations, query data and trigger the next steps. Where these interfaces are missing, AI stays a demo and the AI budget has no impact.
What changes
We turn your tools into real engineering software: web apps and services with clear interfaces and a shared data foundation. The platform underneath takes care of everything related to deployment and operations. Individual tools become an end-to-end process chain that AI agents can plug into.
A standardized path from code to production: templates, automated deployment, sign-in, access control and monitoring. Your engineers no longer have to figure out how to set any of it up, and every new tool goes live faster.
Spreadsheet logic and scripts become web apps and services with a clear structure, tested logic and a shared codebase. Several engineers can work on the code in parallel, and nothing depends on a single person anymore.
Services exchange data through defined interfaces and events, and results land in a shared data foundation. Workflows become automatable end to end and can be monitored.
Through the same interfaces, AI agents call calculations, query data and orchestrate entire workflows. AI POCs become production-grade solutions.
TODAY
Tools become software, usable by everyone and reliable
What gets built
Result
How we work together
In one week, we look at which tools exist, how they are developed and operated today, and what is missing for a clean path to production. You receive a solution draft with a platform design and concrete next steps.
In about four weeks, the platform is in place and a first tool runs on it as real software. Along the way, we define the standards for building and deploying every tool that follows.
More tools move onto the platform and get connected. Your engineers take over step by step, until they automate new processes end to end, independently and for the long term, with AI agents if you want.
Alongside
From day one, your engineers learn to develop and deploy software properly, including with AI. Automation becomes something your organization can do itself, instead of a project you buy.
About me
I started out as a test engineer at an automotive supplier. There, I built tools myself and saw why they fail. Later, I built real-time data platforms for millions of users. Today, I bring both together: engineering experience and software, cloud and AI architecture.
More about meFor your IT
Your IT team can't build every specialized tool your engineers need. But without guardrails, engineer-built tools quickly turn into shadow IT with security gaps. A shared platform resolves this: engineers build independently, within clear rules for security, operations and ownership.
I work with your IT from day one, not around it.
Read the articleEnglish
English
In one week, the engineering software check shows which tools you have, how they are developed and operated, and what is missing for a clean path to production. You receive a solution draft with a platform design and concrete next steps.