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First-hand notes from enterprise platform and data & AI work in Germany: production AI, agent identity, governance and the product calls behind delivery.

  1. Latest enterprise platforms

    How I assess an inherited data platform before planning its modernisation

    Taking over a data platform? I map the live data flows first, rank findings by their consequences, then put fixes that protect current operations ahead of larger modernisation work.

    5 min read

  2. AI-native

    How I turn an AI use-case list into a portfolio leaders can act on

    I prioritise AI demand across departments by making ownership and evidence visible. Steering starts with unowned cases and credible quick wins, then assigns the follow-ups needed for a decision.

    6 min read

  3. AI-native

    Who your agent logs in as

    I read 39 priced AI products from 19 vendors to work out what AI-native actually means. The split is not seats versus consumption. It is whether the agent acts as a person or as itself, and in Germany that is a co-determination question before it is a pricing one.

    18 min read

  4. enterprise platforms

    7 Things I Learned Building Enterprise Platforms for Germany's Biggest Companies

    Seven lessons from platform work at E.ON, Allianz, Volkswagen, Bundesdruckerei, Nelly, Telefónica, and Gesund.de. What actually matters when building enterprise platforms in Germany.

    5 min read

  5. LLM inference

    How I self-hosted an AI chat on my portfolio (and why I stopped)

    I ran my own LLM on a GPU. Cold starts killed the experience. Here's the real tradeoff between quality, speed, and money when you self-host inference.

    7 min read