What AI governance looks like in practice.

Problem

Review cycles are slow and documentation inconsistent.

Solution

AI-assisted review with human approval gates at every stage.

Problem

Export-controlled data co-mingled with unclassified material.

Solution

Automated classification with human verification before any AI model access.

Problem

Technicians using unsanctioned AI tools to look up procedures.

Solution

Governed AI assistant with audit trail, approved data sources, and escalation path.

Problem

Detecting defects manually is slow and inconsistently documented.

Solution

AI-assisted inspection with human sign-off and full traceability to source data.

Problem

Procurement teams using AI tools on supplier data without governance.

Solution

Scoped AI access to approved supplier datasets, with approval workflow and export controls.

Problem

Scheduling decisions made by AI without audit trail.

Solution

AI recommendations with human approval and decision log captured for review.

Problem

Clinicians using general-purpose AI tools on patient data.

Solution

Approved, scoped AI access with data never leaving the clinical environment. Outputs reviewed before entry.

Problem

AI-drafted submissions without clear authorship trail.

Solution

AI-assisted drafting with versioned human review at every stage.

Problem

Researchers using cloud AI tools on identifiable data.

Solution

On-premise or private-cloud AI deployment with access controls and audit trail.

Problem

AI tools used in policy work without audit trail or approval record.

Solution

Governed workflow with version control, human review gates, and signed approval record.

Problem

Staff using public AI tools on sensitive internal documents.

Solution

Private deployment on sovereign infrastructure with access controls and query logging.

Problem

AI evaluation of supplier bids without documented rationale.

Solution

AI-assisted scoring with full decision trail and human sign-off before award.