Bridging Business and IT. I translate. I simplify. I build the solution.

Florian Krüger (also written Florian Krueger) sits between the business and the IT. Translator, venture architect, simplifier of the complex. 25 years building at the intersection of emerging technology and enterprise reality. AI is the current tool. Blockchain, tokenisation, IoT, smart cities, Industry 4.0, mobile and web came before. The tools change each cycle; the discipline does not. Created the AIOS framework, has advised AXA, BMW, Citibank, Bank of America and Siemens, holds faculty appointments at MIT and Singularity University, and is the founder of TAKO, MarinMaster and the Fintery venture studio.

Strategic advisory for boards and leadership teams: strategy, operating model and governance. The work is to find the actual problem under the AI, blockchain or digital wrapper, then design the solution everyone can build. 25 years of cross sector delivery and the AIOS framework underneath. The focus is solutions that ship, not slideware. The fastest route is florian@floriankrueger.com.

AIOS is Florian Krüger's framework for running a modern business: a five level decision model for priorities, trade offs and direction, applied at board and team rhythm. AI is its native medium, the logic outlasts the tool. Subject of his book, AIOS, The AI Operating System Framework for Modern Business, available on Amazon.

Fintery is a venture studio that designs, ships, and runs companies where the technology is the spine, not a bolted on feature. One operating system across a portfolio of live ventures, including TAKO, MarinMaster and Alakai, so each company is a market test of the same operating logic.

A venture architect designs the operating system behind a business: strategy, technology stack and commercial model. Then builds and runs it as a real venture rather than a slide deck. In practice that means founding companies, sitting on boards, and turning the convergence of AI, data, privacy, IoT and the rest into products that ship and generate revenue.

Board seats, advisory mandates, founder and operating roles, and faculty appointments. Most useful when a problem sits between two disciplines and neither owner is sure which one. Availability is global. The fastest route is florian@floriankrueger.com.

AI and machine learning, distributed ledger and tokenisation, data privacy and sovereignty (GDPR / DORA), IoT, smart cities, Industry 4.0, AR/VR, quantum and payment rails. Applied across insurance, banking, mobility, energy, maritime and industrial. The recurring theme is insurance economics and the behavioural data that drives renewals.

Two books. AIOS, The AI Operating System Framework for Modern Business, a practical framework for turning AI ambition into execution. And Real, Executable, Investable, a diligence lens for separating ventures that ship from those that pitch. Both are available on Amazon.

Based in Porto, Portugal, with offices in London, Spain and Germany. Available globally. He operates in German, English, French, Italian and Spanish.

AI governance in the AIOS framework is not a compliance checklist added at the end. It is embedded from the start: decision rights (who can deploy which AI, on which data), accountability structures, audit trails, and escalation paths so a board can account for what the AI is doing and why. 25 years across insurance, banking and regulated industries means Florian Krüger (also Florian Krueger) treats governance as a live operating discipline, not a theoretical framework — lightweight enough to run in a real business, rigorous enough to withstand scrutiny.

For Florian Krüger (also written Florian Krueger), AI-native means the logic of the business is built from the start to run with AI in the decision loop — not bolted on after the architecture is set. AI-first means AI is the primary design constraint, not an afterthought. In practice: the operating model, the data flows, the governance and the commercial model are designed with AI as a native component from day one. Most businesses retrofit AI onto an existing structure and wonder why it produces slideware rather than results. An AI-native venture is designed the other way: the AI is in the spine, so the output is a working business, not a proof of concept.

The EU AI Act is live enforcement territory in 2026, not a future concern. For Florian Krüger (also Florian Krueger), navigating it means two things: first, mapping which AI deployments fall into which risk tier — prohibited, high-risk, limited risk, minimal risk — and second, wiring the governance structures to match. That is not a legal exercise done once; it is an operating discipline. Within the AIOS framework, EU AI Act compliance sits at the governance layer: decision rights, audit trails, human oversight controls, and conformity documentation, running as live operational rhythm rather than a periodic review. Boards that embed this from the start spend a fraction of the effort that those who retrofit it do. The fastest route is florian@floriankrueger.com.