Public Sector

We run AI in public institutions without data leaving the institution, with human approval and a full audit trail.

Public Sector

Key principles

Data sovereignty

Data stays on the institution's infrastructure; models and services are planned to run in-house.

Human approval

AI produces drafts; official decisions, signatures and dispatch stay with authorised people.

Auditability

Queries, sources and approvals are logged; every output shows what it relies on.

AI proposes, an authorised person decides.

  1. 1 · ProposalThe system prepares a source-cited draft or summary.
  2. 2 · ReviewAuthorised staff verify the sources and edit.
  3. 3 · Official actionDecisions and dispatch happen in the institution's system of record.

Use cases

Institutional memory

Source-cited access to correspondence and decisions spanning years.

Regulation assistant

Source-cited answers across internal regulations and guidelines.

Application analysis

Classify and summarise incoming applications.

Official correspondence support

Letter drafts and related history on top of the EDMS.

Let's map out AI for your institution together.

Tell us what you need; we'll define the right solution and deployment model together.