Digital Sovereignty Assessment

Cloud dependency

Critical workloads often rely on providers with limited fallback options, leaving leadership exposed when cost, policy, or service conditions change.

AI data exposure

Teams adopt AI assistants quickly, but governance and controls lag behind, creating unmanaged exposure for sensitive data and strategic knowledge.

Vendor lock-in

Contracts, architecture, and operating models can silently reduce your exit options and make future strategic pivots expensive.

Data jurisdiction risk

Data handling and processing locations are not always transparent, increasing legal and compliance exposure for regulated organizations.

Infrastructure fragility

Dependencies are frequently concentrated in too few systems or providers, weakening resilience during outages, incidents, or geopolitical disruption.

Procurement blind spots

Sovereignty criteria are often missing in procurement decisions, so short-term buying choices create long-term strategic dependency.

Layer 1

Infrastructure Sovereignty

Hosting, networks, availability, resilience, operational control.

Layer 2

Cloud and Platform Sovereignty

Cloud providers, SaaS platforms, hyperscaler dependency, exit options.

Layer 3

Data Sovereignty

Data residency, access control, processing locations, contractual exposure.

Layer 4

AI Sovereignty

Use of external AI models, sensitive data exposure, model/vendor dependence, governance.

Layer 5

Application and Software Sovereignty

Critical applications, open-source vs proprietary dependencies, maintainability, vendor concentration.

Layer 6

Governance and Procurement

Policies, roles, procurement criteria, risk ownership, documentation, decision processes.