A free 38-page ebook by Andreas Anding — distilled from the methodology behind The AI Operating System. The Three Levels framework, the six components of an AI-native operating system, and two exercises that find your highest-leverage workflow in 30 minutes. Not a chapter extract — a standalone resource written for operators who want the core before committing to the full book.
Why AI-as-Tool, AI-as-Specialist, and AI-as-Operator compound at different rates — and where most companies are stuck (Level 01) without knowing it.
The operating system Remote Native installs in 13 weeks. What each component is, why it's load-bearing, and what fails when it's missing.
The Leverage Point Audit and the Operating Hypothesis. Most readers find their highest-leverage workflow in the first exercise — pen and paper, no software.
In 1995, most companies used Excel to do faster versions of what they'd done with ledgers and calculators. The workflow stayed the same. The role of the person stayed the same. They just got faster. A few companies looked at Excel differently — they didn't ask “how do we do this faster?” They asked “what becomes possible now that we can recalculate instantly?”
The ebook contains a 12-question scorecard across six dimensions. The web diagnostic uses the same questions and emails your scored result. Here's one — answer it honestly before you keep scrolling.
Founder of Remote Native. Two decades across operations, technology, and AI delivery on the operator side — leading engineering and AI programs inside DACH companies in insurance, e-mobility, and industrial settings. Writes the book the same way he runs engagements: short paragraphs, specific examples, no consulting filler.
First name, work email. We send the PDF + one short newsletter per month — nothing else, ever. Free email domains (gmail, yahoo, hotmail) aren't accepted; the methodology is for operators, not anonymous traffic.
The full AI Operating System: How Leaders Turn AI Into Operating Leverage is paid on Amazon — €9.99 Kindle, €19.99 paperback, €29.99 hardcover. Or, if you're a CEO / Vorstand / GF / Founder of a mid-market DACH company (€15M+), 50 signed copies ship from Andreas's desk each month — free, by request.
A decision framework for DACH enterprises choosing among the growing field of GDPR-compliant AI platforms — five criteria that decide fit, and three questions most procurement processes avoid.
Jun 11, 2026The DIHK Digitalisierungsumfrage 2026 of nearly 5,000 companies records a 53% distrust of non-European AI providers — the highest in the EU. Here is how to turn that distrust into a concrete platform selection framework while the EU AI Act timeline is still moving.
Jun 9, 2026Shadow AI breaches cost $670K more than the average, and most breached organisations still have no governance policy. A practical four-stage framework for DACH Mittelstand that governs ungoverned AI without driving it further underground.
Jun 2, 2026The May 2026 Digital Omnibus defers standalone high-risk AI obligations by 16 months — to 2 December 2027. Here is what changed, what did not, and how DACH enterprises should use the extra time without losing it.
May 31, 2026McKinsey finds 74% of organisations rate inaccuracy a relevant AI risk; Accenture finds 77% of executives say AI's benefits depend on trust. Trust isn't a soft issue — it's the hard bottleneck to scaling.
May 17, 2026The OWASP Top 10 for LLM Applications, mapped to DACH enterprise deployments — what the new attack surfaces actually are, why your existing controls miss them, and the mitigation architecture that satisfies EU AI Act Article 15.
Apr 8, 2026