AI procurement across many departments and suppliers
Make public-sector AI governable, auditable and institutionally accountable.
Build accountable AI estates across public services, agencies, procurement, sovereign infrastructure and citizen-facing systems.
The control problem is specific to the operating environment.
Cybatar provides a durable institutional record for how public-sector AI is acquired, approved, operated and evidenced.
Public accountability and explainability requirements
Sovereign data and infrastructure concerns
Long-lived systems with unclear ownership and evidence
What Cybatar should make visible and govern.
The platform is configured around the institution's own materiality, authority, evidence and economic model rather than a generic checklist.
Record. Control. Evidence. Economics.
Cybatar connects the AI estate to accountable decisions, evidence and value so government & public institutions does not govern AI through disconnected committees and spreadsheets.
Record
Inventory, ownership, AI Passports and lifecycle.
Control
Intake, authorisation, policy and obligations.
Evidence
Provenance, decisions, assurance and audit records.
Economics
Spend, unit economics, outcomes and validated value.
Map your AI estate before the next material decision.
Bring your current systems, governance model, supplier exposure and executive questions. Cybatar will structure the operating problem.