Public bodies must be able to explain how AI influenced a decision, keep citizen data under their own control and avoid dependence on any single vendor. AiVACO builds AI and data systems designed for that level of accountability.
Information must be processed where the organisation decides, at the right security level.
Departments and agencies are expected to explain how algorithmic tools are used.
Automated outputs that affect citizens must have clear human ownership.
Public facing AI must be accurate, consistent and fair.
Long term public value depends on the freedom to change technology.
| Use case | How it is assured |
|---|---|
| Policy and guidance knowledge retrieval | Answers grounded in current published and internal guidance, with provenance recorded |
| Casework preparation | AI assembles relevant records and guidance; the officer decides and the decision is attributed |
| Correspondence and information request drafting | First drafts grounded, checked and approved by an official before release |
| Citizen facing assistants | Responses limited to approved published content, with refusals and escalations recorded |
| Transparency reporting | The audit trail provides the evidence base for recording how tools are used |
On premises or in tenancy deployment within UK infrastructure, model agnostic design that avoids lock in, and a tamper evident record that supports audit and scrutiny.
