Sovereign intelligence

Give people AI assistance without unchecked authority.

Connect approved models, organisational knowledge and authorised tools through workflows whose permissions, policies and approvals you define.

Status: Roadmap. Availability, release terms and supported deployment conditions will be published as dated capability records before the status changes.

Core capabilities

Designed around accountable organisational work.

Exact coverage, deployment requirements and limitations are documented for the selected version and use case.

Ground answers in approved sources

Retrieve within the user’s permissions and expose source references where connected applications provide them.

Compose governed workflows

Combine model calls, retrieval, rules and human tasks into reusable processes.

Control tools and connectors

Apply scoped credentials, allowlists and least-privilege access to organisational systems.

Keep people accountable

Require approval for sensitive actions and retain inputs, tool use and outcomes according to policy.

Product boundary

Orchestration with clear boundaries

Model Runtime performs inference. DB persists authorised context. Applications own user workflows. AI Guard evaluates and protects interactions.

Adoption outcome

Begin with bounded authority

Choose one assistant, restrict its sources and tools, require review for consequential actions, and verify its audit trail.

Sovereignty matrix

Evaluate the deployment across six dimensions.

Product-specific answers are established through the deployment architecture and dated evidence record.

DataOperationalTechnologyJurisdictionKnowledgeExit
Review the trust model

A practical first step

Begin with bounded authority

Choose one assistant, restrict its sources and tools, require review for consequential actions, and verify its audit trail.

Design a governed assistant