
Cloud platforms and AI models create enormous potential — and new dependencies. Our Data & AI Sovereignty advisory gives you transparency over the dependencies that matter and strengthens your strategic room to manoeuvre.
We help you set up data, AI applications and infrastructure so that you stay flexible, secure and self-determined.
Sovereignty strategy, budget, accountabilities, compliance and risk management processes, and transparency over the AI applications in use.
Data lineage, meta and master data management, data classification, and the handling of sensitive data.
Type and intensity of AI usage, open source versus vendor models, data control in model training, quality management, plus standards and contract terms for external AI services.
Private cloud readiness, encryption and access, location and disaster recovery, standardised frameworks, and incident management.
Sovereignty does not mean running everything yourself. What matters is keeping your options open: on vendors, cloud infrastructure, AI models and data processing.
That is how you reduce critical dependencies and build the foundation for data and AI architectures that stay resilient over time.
Do you know how many external AI services run in your core processes? And which of them feed your data into model training?
Dependencies rarely come from one big decision — they build up through many small ones. That is why we offer two entry points: the Readiness Check for a quick self-assessment in ten minutes, online and free of charge, and the Assessment Workshop for an in-depth analysis with your team, including a maturity profile and roadmap.
Want to know quickly where your organisation stands?
Our Readiness Check gives you a first assessment of your level of sovereignty and identifies the most important areas for action.
Format: online questionnaire, approx. 10 minutes
Who it is for: AI Officer, CDO, CIO
Outcome: an evaluation with your sovereignty score and the three most pressing areas for action
Start the Readiness CheckHow sovereign is your organisation today?
Our assessment shows where you stand on data and AI sovereignty, which risks exist and where action is needed.
All four dimensions are examined in detail — applied to your actual systems, models and contracts.
Maturity is rated on four levels: Initial, Reactive, Managed and Future-Ready — per dimension and overall.
The result: a clear maturity level, transparent dependencies and a concrete roadmap.
Format: preparatory interviews, a facilitated workshop (1–2 days, on site or remote) and a detailed evaluation
Who it is for: AI Officer, CDO, CIO plus CTO and CISO — tech and legal profiles together
Outcome: a maturity profile across the four dimensions, prioritised measures and a roadmap
Request the Assessment Workshop
Katharina is a Senior Principal Data Strategist at Alexander Thamm [at] and advises companies on the development and implementation of data and AI strategies. Her areas of expertise include data and AI transformation, AI governance, and data-driven services and business models. Today, she supports companies in everything from AI strategy and use case development to the establishment of AI academies and data and AI hubs.

Till is a Senior Principal Data Strategist and Team Lead at Alexander Thamm [at]. He leads the generative AI initiative and advises companies in the financial and insurance sectors on digital transformation. Till has 15 years of experience in consulting and implementing AI applications, as well as in various leadership roles.
How much control do you have today over your data, AI systems and infrastructure?
Together we create transparency and develop a pragmatic path towards more control, resilience and technological freedom.
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