AI Strategy, Infrastructure Architecture & Security Research
Infrastructure and cybersecurity · Based in Cologne, Germany. Available for engagements in Vienna and across DACH.
Connecting AI strategy with secure infrastructure, agentic systems, governance and evidence-backed implementation. Enterprise infrastructure and cybersecurity form the foundation of the advisory work. See the career background for the scope of previous roles. Based in Cologne, Germany. Available for engagements in Vienna and across DACH.
AI roadmaps aligned to business objectives: use case prioritization, operating model decisions, build/buy/partner choices, and delivery sequencing for sustainable AI adoption.
Governance framework design for trustworthy AI, including EU AI Act risk classification, ISO 42001 alignment, documentation standards, and human oversight mechanisms.
Scalable, secure AI infrastructure design: data governance, platform architecture, resilience, and cybersecurity controls for enterprise AI in regulated or high-availability environments.
Strategic support for C-suite and supervisory boards on AI transformation, technology risk, governance accountability, and the competitive implications of AI strategy decisions.
The need for advisory work depends on the organization’s use cases, risks and internal capabilities. Sector-specific obligations should be assessed alongside AI governance; no industry ranking is asserted here.
Effective AI strategy in Germany is not about hype adoption. It requires connecting AI initiatives to measurable outcomes, building governance that satisfies both regulatory and operational needs, and designing infrastructure that reflects the reliability standards German industry expects.
An AI strategy consultant helps organizations define AI priorities, select realistic use cases, align leadership on delivery models, build governance frameworks for EU AI Act compliance, and connect AI strategy to IT architecture, cybersecurity, and implementation risk.
The general application date is 2 August 2026. Article 113 sets different dates and exceptions for prohibitions, GPAI and high-risk systems; Article 111 contains transitional rules. Check the current consolidated regulation for the specific system and role.
The need for advisory work depends on the organization’s use cases, risks and internal capabilities. Sector-specific obligations should be assessed alongside AI governance; no industry ranking is asserted here.
Connecting AI strategy with secure infrastructure, agentic systems, governance and evidence-backed implementation. Security and governance are advisory topics, not guarantees of legal compliance, certification or regulatory approval.