Sectors

Public-service AI needs operational governance, evidence and accountability.

Cortex helps government organisations consider how AI-enabled activity can be introduced with operational context, runtime governance, traceability and accountability across public services, data and transformation.

Why government needs this

AI in public services carries real operational consequence.

Public-sector AI adoption affects citizens, services, data, accountability and transformation programmes. Governance has to account for what AI-enabled activity can access, what it may affect, where it operates, who remains accountable and what evidence is available for review — not as a late-stage compliance step, but from the outset.

Operational contextAI-enabled activityPeople & rolesProcessesSystemsDataInfrastructureDependencies
The operational context a public-service organisation needs to understand before AI-enabled activity is introduced.

How Cortex is relevant

Operational governance for public services.

Operational context & accountability

A structured view of what AI-enabled activity may affect and who remains accountable.

Runtime governance

Governance that remains active while AI-enabled activity operates inside public services.

Evidence & assurance

Traceable evidence that supports review, scrutiny and improvement.

Interoperability boundaries

Governed boundaries for how AI-enabled activity connects to systems and data.

Cortex is presented as a governance and assurance approach for public-service AI. It does not imply public-sector endorsement, accreditation, approval, procurement status or formal assurance outcome.

Start the right governance conversation.

Cortex helps public-sector leaders frame the operational governance, context and evidence questions that matter before AI-enabled activity scales.