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Government & Public Institutions

Make public-sector AI governable, auditable and institutionally accountable.

Build accountable AI estates across public services, agencies, procurement, sovereign infrastructure and citizen-facing systems.

Industry pressure

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.

01

AI procurement across many departments and suppliers

02

Public accountability and explainability requirements

03

Sovereign data and infrastructure concerns

04

Long-lived systems with unclear ownership and evidence

Priority operating capabilities

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.

01Cross-agency AI inventory
02Public-sector authorisation workflows
03Supplier and procurement governance
04Evidence and chain of custody
05Infrastructure resilience
06Programme and executive oversight
One institutional operating model

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.

Government & Public Institutions

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.

Request an AI Estate Assessment