AI Sovereignty Self-Assessment

Your organization is ready for AI. But is your data?

Not true today
Rarely true
True for some AI use cases
Mostly true
Consistently true and auditable across all AI use cases
You know where AI data resides, where it is copied, where it is processed, and which jurisdictions and policies apply.
Data Control
You know where AI data resides, where it is copied, where it is processed, and which jurisdictions and policies apply.
AI can access current operational data from authoritative sources without waiting for batch pipelines or creating unnecessary copies.
Live Context
AI can access current operational data from authoritative sources without waiting for batch pipelines or creating unnecessary copies.
AI uses consistent business definitions, source-of-truth rules, lineage, and context across domains and systems.
Semantic Trust
AI uses consistent business definitions, source-of-truth rules, lineage, and context across domains and systems.
Access controls, masking, entitlements, residency rules, and usage policies are enforced at the point of AI access.
Runtime Governance
Access controls, masking, entitlements, residency rules, and usage policies are enforced at the point of AI access.
You can deliberately decide where AI-related data processing occurs: source, cache, cloud, on-premises, edge, or sovereign environment.
Workload Placement
You can deliberately decide where AI-related data processing occurs: source, cache, cloud, on-premises, edge, or sovereign environment.
You can change models, cloud systems, lakehouses, vector stores, AI tools, and even repatriate selected cloud data/workloads on-premises without rebuilding the governed data foundation or disrupting consumers.
Portability and Architecture Choice
You can change models, cloud systems, lakehouses, vector stores, AI tools, and even repatriate selected cloud data/workloads on-premises without rebuilding the governed data foundation or disrupting consumers.

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