Workflow automation (Make / n8n)
One business process, built as a visual Make or n8n scenario, documented, and handed over to your team.
Automation and AI adoption for engineering and business teams.
I find the manual work that costs your team the most time, then build it as a visual workflow in Make or n8n. Fixed scope, documented, and handed over to your team.
- Eleven years in ALM and toolchain engineering
- Make scenarios in daily use
- Integrations between Jira, Confluence, Jenkins and SonarQube
- Previously Qualcomm, Renesas Electronics, Dialog Semiconductor
Services
AI adoption for teams
Find the tasks where AI saves real time, prototype one workflow, and measure the result before anything goes live.
ALM toolchain health-check
A fixed-scope review of your engineering toolchain: risks, stability, upgrade path, and a 90-day roadmap.
M&A toolchain due diligence
An independent technical review of engineering tools before a deal closes, with integration cost and risk in writing.
How an engagement runs
Assess
Map the process, time each step, and rank candidates by hours saved and risk.
Design
Agree on the target flow, the tools involved, and what happens when a step fails.
Build
Build the scenario in Make or n8n and test it with real data.
Hand over
Scenario documentation and a session with the person who will own it.
About
Eleven years of enterprise ALM work in the Stuttgart region, including Qualcomm, Renesas Electronics and Dialog Semiconductor. I work hands-on with visual automation tools and scripts, not just slide decks.
Have a manual process that eats hours every week?
A 20 minute call is enough to tell whether automation or AI makes sense for your team.