Automation and AI adoption for engineering and business teams.

Your team gets back the hours lost to manual work. I build visual workflows in Make or n8n with a fixed scope, documentation, and a handover to your team.

Book an intro call See what I do

Manual work becomes one automated scenario Five manual steps across forms, email, spreadsheets and copy-paste on the left become one visual Make or n8n scenario on the right. Form Email Sheet Copy/paste Report Intake Check Update Notify Make / n8n Today: manual steps, copy and paste Target: one scenario, documented
  • Eleven years in ALM and toolchain engineering
  • Working Make project for data collection forms, extended to more forms
  • Integrations between Jira, Confluence, Jenkins and SonarQube
  • Previously Qualcomm, Renesas Electronics, Dialog Semiconductor

Services

Workflow automation (Make / n8n)

Stop the weekly manual copy work. One process, built in Make or n8n, documented, and handed to your team.

ALM toolchain health-check

Know what breaks, what it costs, and what to fix first. A fixed-scope review with a 90-day roadmap.

M&A toolchain due diligence

Know the integration cost and risk of the engineering tools before you sign, in writing.

How an engagement runs

  1. Assess

    Map the process, time each step, rank candidates by hours saved and risk, and check whether AI can take over part of a step.

  2. Design

    Agree on the target flow, the tools involved, and what happens when a step fails.

  3. Build

    Build the scenario in Make or n8n and test it with real data.

  4. Hand over

    Scenario documentation and a session with the person who will own it.

About

Eleven years of ALM and integration work since 2015, starting as an administrator at DSV. Before that, project management at the Cadera software house. Then Dialog Semiconductor, Renesas Electronics, and Qualcomm. Based in the Stuttgart region. I work hands-on with visual automation tools and scripts, not just slide decks.

Background and experience

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.

Book an intro call