Sovereignty, transparency and public accountability.
AI for Government & Public Sector
Public sector deployments carry obligations commercial ones do not: citizens can ask how a decision was reached, and the answer has to exist.
What makes this sector different
Data sovereignty is absolute
Citizen data frequently cannot leave the jurisdiction.
Decisions are challengeable
Automated decisions affecting citizens must be explainable and appealable.
Procurement favours the demonstrable
Claims need evidence before funding.
Where it pays back
Citizen service assistant
Retrieval-augmented generationAnswer service questions from published policy, with the source cited.
Case-file summarisation
Retrieval-augmented generationSummarise long case files for officers, with every claim traceable.
Records and FOI search
Retrieval-augmented generationSemantic search across records with access control enforced per document.
Form and application triage
HybridClassify and route submissions, escalating anything ambiguous.
How the Government & Public Sector assessment differs
Public sector assessments assume in-jurisdiction, self-hosted inference unless you tell us otherwise.
Compliance we ask about first
Data sources we expect
Questions this template pushes on
- Must all processing remain within the jurisdiction?
- Which decisions affect citizens and therefore need an appeal path?
- What transparency obligations apply to automated decisions?
These are suggestions surfaced alongside the questions — never pre-filled answers. The assessment still asks you everything, because a score built on assumptions you never confirmed is not a score you could act on.
Scope an AI project for government & public sector
The Government & Public Sector template sharpens the questions. Ten minutes gets you a feasibility score, an architecture and a costed plan.