Digital Sovereignty: Data Sovereignty Assessment – Transparency, Control, and Security for Your Cloud and AI Data
Today, companies operate within complex digital ecosystems: multi-cloud environments, SaaS dependencies, international data flows, regulatory obligations, and ever-increasing compliance risks. At the same time, true data sovereignty—that is, full control over data, access, storage locations, and dependencies—is becoming a strategic success factor, especially in the age of artificial intelligence (AI). Yet many organizations lack a clear picture: Where is which data located? Who has access to it? What risks arise from cloud and AI services? How sovereign are we really? Our Data Sovereignty Assessment provides this clarity. We examine your cloud architecture, data flows, risks, AI dependencies, compliance status, and organizational capabilities—using a structured, fact-based framework. The result: the ability to act rather than uncertainty—especially where AI creates both new opportunities and new risks simultaneously.
This sums up the Data Sovereignty Assessment
- Assessment: An Objective Evaluation of Your Data Sovereignty—Data, Systems, Cloud Architecture, and Dependencies
- Transparency & Control: Clarity on Risks, Access, Storage Locations, and Compliance Exposure
- Prioritized Measures: Targeted Leverage Instead of Reactive Measures – Quick Wins & Strategic Areas of Action
- Roadmap & Business Case: A Basis for Decision-Making Regarding IT Architecture, Governance, and Cloud Strategy
Services Included in Our Data Sovereignty Assessment
The assessment consists of four modules that allow for an evaluation of your digital literacy.
- Context Analysis: Industry, Business Model, AI Maturity Level and Depth of AI Adoption, Regulatory Requirements (GDPR, NIS2, EU AI Act, CLOUD Act)
- Cloud & AI Landscape Mapping: Data Flows, Processing Locations, Integrated AI Models and Services
- Stakeholder Perspectives: Bringing Together Expectations and Understandings of Sovereignty from IT, Legal, Security, and Business
- Pain Point Assessment: Identifying Loss of Control, Dependencies, and Compliance Risks
The result: A shared, robust overview that brings together AI risks, cloud complexity, and organizational issues
- Data Sovereignty & Control – Storage Locations, Access, Encryption, Data Classification
- Compliance & Regulation – GDPR, NIS 2, CLOUD Act, Auditability, AI Compliance (EU AI Act)
- Architecture & Technology – Cloud Lock-in, AI Service Dependencies, Portability, Open Standards
- Governance & Organization – Roles, Responsibilities, Exit Strategies, Transparency, and Operating Model
The result: A transparent assessment of just how independent or dependent your company really is—including a clear view of AI-specific risks such as model access, data outflow, and vendor lock-in.
- Selection of 2–3 specific use cases (e.g., customer data, machine telemetry, AI scoring, SaaS processes)
- Sovereignty Stress Test for Each Use Case
- AI Scenario Analysis:
- What happens if you need to switch AI providers?
- How do you respond to new AI regulations?
- What if a model is hosted in a third country and data is processed there?
- Quick Wins: Identifying Measures That Can Be Implemented Immediately and Are Highly Effective
The result: clarity on which of your use cases are critically exposed, which AI services pose specific risks, and where resilience needs to be built—all assessed directly against your own processes.
- Results Dashboard: Traffic-Light Rating, Including AI Risk Indicators
- Measures Prioritized by Relevance, Risk, AI Dependency, and Feasibility
- Business Case Outline: Investment, Effort, Expected Value Contribution for the Top Measures
- Implementation Plan: Actions, Responsibilities, Timeline, Decision-Making Process
Your outcome: A documented results report that serves as a decision-making basis for management—including an assessment of your data sovereignty and AI dependencies, prioritized recommendations for action, governance proposals, and a clear roadmap that combines digital independence with future-proof AI integration.
Who is the Data Sovereignty Assessment intended for?
- Executive Management & C-Level Executives Who Need to Strategically Assess Digital Independence
- Those who want to understand IT and cloud management, the risks, dependencies, and architectural options
- Data Protection, Compliance, and Legal Affairs for GDPR and NIS 2 Compliance
- Product and service teams that need to use and protect cloud data
- Companies in regulated industries (tech, manufacturing, energy, healthcare, finance)
Data Sovereignty Assessment: Group Size, Location & Format, Cost
To ensure that organization, time and impact fit together perfectly, we clarify the framework conditions at an early stage and tailor the format, scope and depth to your company.
- Group size: Workshops and interviews for up to 20 people (larger groups upon request)
- Location & format: On site at your plant/company, remote or hybrid; on request also in our office in Munich
- Duration: Quick Assessment (3–5 days) or Deep Assessment (2–6 weeks), depending on the company's size and complexity
- Costs: Depend on complexity, cloud environment, and use cases—available upon request
- Additional Services: Implementation Support , Governance Design, Supplier Management, Cloud Strategy Support
About Ventum
With over 20 years of consulting experience, we combine in-depth expertise in the introduction of digital innovations such as artificial intelligence with tried-and-tested methods.
Over 20 Years of Digitization
From strategy to effective implementation.
Business & Tech Combined
We connect academic departments, IT, and management.
Hands-on instead of slides
We build real-world solutions with your teams.
Technology-neutral
Microsoft, open source, or hybrid platforms—whatever works best for your business.
Quick Added Value
From an idea to a live demo in just a few days.
Sustainable Knowledge Transfer
Your teams learn directly through real-world projects.
Expertise in Data Sovereignty Assessments—Your Experts
Our references and projects in AI and data
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- Strategic: Assessment of Data Sovereignty, Cloud Dependencies, and AI Risks
- Transparency: Clarity on Data Flows, Storage Locations, Access, and Compliance Exposure
- Practical: Analysis of Real-World Use Cases, AI Scenarios, and Critical Dependencies
- Actionable: Prioritized Measures, Governance Recommendations, and Concrete Roadmaps
- Future-Proof: Support for Resilient Cloud Architectures and Sovereign AI Integration
TISAX and ISO certification apply only to the Munich location
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FAQ – Frequently Asked Questions About the Data Sovereignty Assessment
Because companies must simultaneously optimize innovation, compliance, security, and costs. Without clear control, there is a risk of dependencies, compliance risks, data loss, and a lack of transparency regarding access and storage locations.
No. Traditional assessments typically focus on architecture and security.
A data sovereignty assessment also considers:
- legal risks
- organizational dependencies
- economic impact
- Workload Portability
- Exit Capability
- Data Sovereignty Throughout the Entire Lifecycle
Yes—but in a safe and controlled manner. We work in staging environments or with representative samples to draw realistic conclusions without exposing ourselves to operational risks.
Very specific. You’ll receive traffic-light ratings, lists of actions, business case outlines, governance recommendations, and scenarios for decision-makers.